From 90d843c736e811570addd0d6e00718a9a684df4d Mon Sep 17 00:00:00 2001
From: Eden Marco <emarco177@gmail.com>
Date: Tue, 25 Apr 2023 13:58:05 +0300
Subject: [PATCH 01/12] creating starting brnach

---
 README.md           |  67 +-------------------------------------------
 backend/__init__.py |   0
 backend/core.py     |  34 ----------------------
 ingestion.py        |  36 ------------------------
 main.py             |  36 ------------------------
 static/banner.gif   | Bin 66971 -> 0 bytes
 6 files changed, 1 insertion(+), 172 deletions(-)
 delete mode 100644 backend/__init__.py
 delete mode 100644 backend/core.py
 delete mode 100644 ingestion.py
 delete mode 100644 main.py
 delete mode 100644 static/banner.gif

diff --git a/README.md b/README.md
index dc175e8..8c3a9ff 100644
--- a/README.md
+++ b/README.md
@@ -1,66 +1 @@
-
-# LangChain Documentation Helper
-
-A repository for learning LangChain by building a generative ai application.
-
-This is a web application is using a Pinecone as a vectorsotre and answers questions about LangChain 
-(sources from LangChain official documentation). 
-
-
-![Logo](https://github.com/emarco177/documentation-helper/blob/main/static/banner.gif)
-
-
-## Environment Variables
-
-To run this project, you will need to add the following environment variables to your .env file
-
-`PINECONE_API_KEY`
-`PINECONE_ENVIRONMENT_REGION`
-`OPENAI_API_KEY`
-
-## Run Locally
-
-Clone the project
-
-```bash
-  git clone https://github.com/emarco177/documentation-helper.git
-```
-
-Go to the project directory
-
-```bash
-  cd documentation-helper
-```
-
-Download LangChain Documentation
-```bash
-  mkdir langchain-docs
-  wget -r -A.html -P langchain-docs https://langchain.readthedocs.io/en/latest/ 
-```
-
-Install dependencies
-
-```bash
-  pipenv install
-```
-
-Start the flask server
-
-```bash
-  streamlit run main.py
-```
-
-
-## Running Tests
-
-To run tests, run the following command
-
-```bash
-  pipenv run pytest .
-```
-
-
-## 🔗 Links
-[![portfolio](https://img.shields.io/badge/my_portfolio-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://www.udemy.com/user/eden-marco/)
-[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/eden-marco/)
-[![twitter](https://img.shields.io/badge/twitter-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://www.udemy.com/user/eden-marco/)
+# LangChain Documentation Helper
\ No newline at end of file
diff --git a/backend/__init__.py b/backend/__init__.py
deleted file mode 100644
index e69de29..0000000
diff --git a/backend/core.py b/backend/core.py
deleted file mode 100644
index f0876ff..0000000
--- a/backend/core.py
+++ /dev/null
@@ -1,34 +0,0 @@
-import os
-from langchain.embeddings.openai import OpenAIEmbeddings
-from langchain.chat_models import ChatOpenAI
-from langchain.chains import RetrievalQA
-from langchain.vectorstores import Pinecone
-import pinecone
-
-
-pinecone.init(
-    api_key=os.environ["PINECONE_API_KEY"],
-    environment=os.environ["PINECONE_ENVIRONMENT_REGION"],
-)
-
-INDEX_NAME = "langchain-doc-index"
-
-
-def run_llm(query: str):
-    embeddings = OpenAIEmbeddings(openai_api_key=os.environ["OPENAI_API_KEY"])
-    docsearch = Pinecone.from_existing_index(
-        embedding=embeddings,
-        index_name=INDEX_NAME,
-    )
-    chat = ChatOpenAI(
-        verbose=True,
-        temperature=0,
-    )
-
-    qa = RetrievalQA.from_chain_type(
-        llm=chat,
-        chain_type="stuff",
-        retriever=docsearch.as_retriever(),
-        return_source_documents=True,
-    )
-    return qa({"query": query})
diff --git a/ingestion.py b/ingestion.py
deleted file mode 100644
index 327fa32..0000000
--- a/ingestion.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import os
-
-from langchain.document_loaders import ReadTheDocsLoader
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain.vectorstores import Pinecone
-import pinecone
-
-pinecone.init(
-    api_key=os.environ["PINECONE_API_KEY"],
-    environment=os.environ["PINECONE_ENVIRONMENT_REGION"],
-)
-INDEX_NAME = "langchain-doc-index"
-
-
-def ingest_docs():
-    loader = ReadTheDocsLoader("langchain-docs/langchain.readthedocs.io/en/latest")
-    raw_documents = loader.load()
-    print(f"loaded {len(raw_documents)} documents")
-    text_splitter = RecursiveCharacterTextSplitter(
-        chunk_size=400, chunk_overlap=50, separators=["\n\n", "\n", " ", ""]
-    )
-    documents = text_splitter.split_documents(raw_documents)
-    for doc in documents:
-        new_url = doc.metadata["source"]
-        new_url = new_url.replace("langchain-docs", "https:/")
-        doc.metadata.update({"source": new_url})
-
-    embeddings = OpenAIEmbeddings()
-    print(f"Going to add {len(documents)} to Pinecone")
-    Pinecone.from_documents(documents, embeddings, index_name=INDEX_NAME)
-    print("****Loading to vectorestore done ***")
-
-
-if __name__ == "__main__":
-    ingest_docs()
diff --git a/main.py b/main.py
deleted file mode 100644
index 9a374f8..0000000
--- a/main.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import streamlit as st
-from backend.core import run_llm
-
-
-def show_messages(text):
-    messages_str = [
-        f"{_['role']}: {_['content']}" for _ in st.session_state["messages"][1:]
-    ]
-    text.text_area("Messages", value=str("\n".join(messages_str)), height=400)
-
-
-BASE_PROMPT = [{"role": "system", "content": "You are a helpful assistant."}]
-
-if __name__ == "__main__":
-    if "messages" not in st.session_state:
-        st.session_state["messages"] = BASE_PROMPT
-
-    st.header("LangChain Udemy Course- Helper Bot")
-    text = st.empty()
-    show_messages(text)
-
-    prompt = st.text_input("Prompt", value="Enter your message here...")
-
-    if st.button("Send"):
-        with st.spinner("Generating response..."):
-            st.session_state["messages"] += [{"role": "user", "content": prompt}]
-            message_response = run_llm(query=prompt)
-            formatted_response = message_response["result"]
-            st.session_state["messages"] += [
-                {"role": "system", "content": formatted_response}
-            ]
-            show_messages(text)
-
-    if st.button("Clear"):
-        st.session_state["messages"] = BASE_PROMPT
-        show_messages(text)
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From 96eb935c631892e65c4d64f9f453c594c23aef7e Mon Sep 17 00:00:00 2001
From: Eden Marco <emarco177@gmail.com>
Date: Tue, 25 Apr 2023 19:08:05 +0300
Subject: [PATCH 02/12] implemented ingestion

---
 ingestion.py | 38 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 38 insertions(+)
 create mode 100644 ingestion.py

diff --git a/ingestion.py b/ingestion.py
new file mode 100644
index 0000000..8bf2e42
--- /dev/null
+++ b/ingestion.py
@@ -0,0 +1,38 @@
+import os
+from langchain.document_loaders import ReadTheDocsLoader
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.vectorstores import Pinecone
+import pinecone
+
+pinecone.init(
+    api_key=os.environ["PINECONE_API_KEY"],
+    environment=os.environ["PINECONE_ENVIRONMENT_REGION"],
+)
+
+
+def ingest_docs() -> None:
+    loader = ReadTheDocsLoader(path="langchain-docs/langchain.readthedocs.io/en/latest")
+    raw_documents = loader.load()
+    print(f"loaded {len(raw_documents) }documents")
+    text_splitter = RecursiveCharacterTextSplitter(
+        chunk_size=1000, chunk_overlap=100, separators=["\n\n", "\n", " ", ""]
+    )
+    documents = text_splitter.split_documents(documents=raw_documents)
+    print(f"Splitted into {len(documents)} chunks")
+
+    for doc in documents:
+        old_path = doc.metadata["source"]
+        new_url = old_path.replace("langchain-docs", "https:/")
+        doc.metadata.update({"source": new_url})
+
+    print(f"Going to insert {len(documents)} to Pinecone")
+    embeddings = OpenAIEmbeddings()
+    Pinecone.from_documents(
+        documents[3969:], embeddings, index_name="langchain-doc-index"
+    )
+    print("****** Added to Pinecone vectorstore vectors")
+
+
+if __name__ == "__main__":
+    ingest_docs()

From e1d226c8d90da9b0d0444fd8256d6fde0bc7048b Mon Sep 17 00:00:00 2001
From: Eden Marco <emarco177@gmail.com>
Date: Thu, 27 Apr 2023 16:23:39 +0300
Subject: [PATCH 03/12] removed python-magic-bin which is not needed

---
 Pipfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Pipfile b/Pipfile
index 03d61cd..94cd3f8 100644
--- a/Pipfile
+++ b/Pipfile
@@ -12,7 +12,6 @@ openai = "*"
 pinecone-client = "*"
 unstructured = "*"
 nltk = "*"
-python-magic-bin = "*"
 fastapi = "*"
 jinja2 = "*"
 uvicorn = "*"

From fa855c473a2dbdcd47d99b39ac423b43ff868b8f Mon Sep 17 00:00:00 2001
From: emarco177 <44670213+emarco177@users.noreply.github.com>
Date: Thu, 27 Apr 2023 16:24:44 +0300
Subject: [PATCH 04/12] Delete Pipfile.lock

deleting Pipfile.lock
---
 Pipfile.lock | 1909 --------------------------------------------------
 1 file changed, 1909 deletions(-)
 delete mode 100644 Pipfile.lock

diff --git a/Pipfile.lock b/Pipfile.lock
deleted file mode 100644
index 11f34a4..0000000
--- a/Pipfile.lock
+++ /dev/null
@@ -1,1909 +0,0 @@
-{
-    "_meta": {
-        "hash": {
-            "sha256": "e31b9e5be283fe785dfaebf9dff3556cf4900f1f923cfbaa0614054d3945aa97"
-        },
-        "pipfile-spec": 6,
-        "requires": {
-            "python_full_version": "3.11.0",
-            "python_version": "3.11"
-        },
-        "sources": [
-            {
-                "name": "pypi",
-                "url": "https://pypi.org/simple",
-                "verify_ssl": true
-            }
-        ]
-    },
-    "default": {
-        "aiohttp": {
-            "hashes": [
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-                "sha256:0a63f03189a6fa7c900226e3ef5ba4d3bd047e18f445e69adbd65af433add5a2",
-                "sha256:10c8cefcff98fd9168cdd86c4da8b84baaa90bf2da2269c6161984e6737bf23e",
-                "sha256:147ae376f14b55f4f3c2b118b95be50a369b89b38a971e80a17c3fd623f280c9",
-                "sha256:176a64b24c0935869d5bbc4c96e82f89f643bcdf08ec947701b9dbb3c956b7dd",
-                "sha256:17b79c2963db82086229012cff93ea55196ed31f6493bb1ccd2c62f1724324e4",
-                "sha256:1a45865451439eb320784918617ba54b7a377e3501fb70402ab84d38c2cd891b",
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From 4f371a8cfc08ad7c00e3070c58243d6c570fa728 Mon Sep 17 00:00:00 2001
From: Maxime Berthelot <maxime@buffer.com>
Date: Mon, 26 Jun 2023 13:58:14 +0200
Subject: [PATCH 05/12] Added ingestion.py + ingest doc fct

---
 Pipfile.lock | 2009 ++++++++++++++++++++++++++++++++++++++++++++++++++
 ingestion.py |   34 +-
 2 files changed, 2014 insertions(+), 29 deletions(-)
 create mode 100644 Pipfile.lock

diff --git a/Pipfile.lock b/Pipfile.lock
new file mode 100644
index 0000000..4425816
--- /dev/null
+++ b/Pipfile.lock
@@ -0,0 +1,2009 @@
+{
+    "_meta": {
+        "hash": {
+            "sha256": "cbc743c0293feeac74c88ddc83f106d7ae5bacdef4c0fcade9828bbb19f19e69"
+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_full_version": "3.11.0",
+            "python_version": "3.11"
+        },
+        "sources": [
+            {
+                "name": "pypi",
+                "url": "https://pypi.org/simple",
+                "verify_ssl": true
+            }
+        ]
+    },
+    "default": {
+        "aiohttp": {
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+                "sha256:82aa6264b36c50acfb2424ad5ca537a2060ab6de158a5bd2a72a032cc75b9eb8",
+                "sha256:832b7e711027c114d79dffb92576acd1bd2decc467dec60e1cac96912602d0e6",
+                "sha256:838162460b3a08987546e881a2bfa573960bb559dfa739e7800ceeec92e64417",
+                "sha256:83fcc480d7549ccebe9415d96d9263e2d4226798c37ebd18c930fce43dfb9574",
+                "sha256:84e0b1599334b1e1478db01b756e55937d4614f8654311eb26012091be109d59",
+                "sha256:891c0e3ec5ec881541f6c5113d8df0315ce5440e244a716b95f2525b7b9f3608",
+                "sha256:8c2ad583743d16ddbdf6bb14b5cd76bf43b0d0006e918809d5d4ddf7bde8dd82",
+                "sha256:8c56986609b057b4839968ba901944af91b8e92f1725d1a2d77cbac6972b9ed1",
+                "sha256:8ea48e0a2f931064469bdabca50c2f578b565fc446f302a79ba6cc0ee7f384d3",
+                "sha256:8ec53a0ea2a80c5cd1ab397925f94bff59222aa3cf9c6da938ce05c9ec20428d",
+                "sha256:95d2ecefbcf4e744ea952d073c6922e72ee650ffc79028eb1e320e732898d7e8",
+                "sha256:9b3152f2f5677b997ae6c804b73da05a39daa6a9e85a512e0e6823d81cdad7cc",
+                "sha256:9bf345c3a4f5ba7f766430f97f9cc1320786f19584acc7086491f45524a551ac",
+                "sha256:a60347f234c2212a9f0361955007fcf4033a75bf600a33c88a0a8e91af77c0e8",
+                "sha256:a74dcbfe780e62f4b5a062714576f16c2f3493a0394e555ab141bf0d746bb955",
+                "sha256:a83503934c6273806aed765035716216cc9ab4e0364f7f066227e1aaea90b8d0",
+                "sha256:ac9bb4c5ce3975aeac288cfcb5061ce60e0d14d92209e780c93954076c7c4367",
+                "sha256:aff634b15beff8902d1f918012fc2a42e0dbae6f469fce134c8a0dc51ca423bb",
+                "sha256:b03917871bf859a81ccb180c9a2e6c1e04d2f6a51d953e6a5cdd70c93d4e5a2a",
+                "sha256:b124e2a6d223b65ba8768d5706d103280914d61f5cae3afbc50fc3dfcc016623",
+                "sha256:b25322201585c69abc7b0e89e72790469f7dad90d26754717f3310bfe30331c2",
+                "sha256:b7232f8dfbd225d57340e441d8caf8652a6acd06b389ea2d3222b8bc89cbfca6",
+                "sha256:b8cc1863402472f16c600e3e93d542b7e7542a540f95c30afd472e8e549fc3f7",
+                "sha256:b9a4e67ad7b646cd6f0938c7ebfd60e481b7410f574c560e455e938d2da8e0f4",
+                "sha256:be6b3fdec5c62f2a67cb3f8c6dbf56bbf3f61c0f046f84645cd1ca73532ea051",
+                "sha256:bf74d08542c3a9ea97bb8f343d4fcbd4d8f91bba5ec9d5d7f792dbe727f88938",
+                "sha256:c027a6e96ef77d401d8d5a5c8d6bc478e8042f1e448272e8d9752cb0aff8b5c8",
+                "sha256:c0c77533b5ed4bcc38e943178ccae29b9bcf48ffd1063f5821192f23a1bd27b9",
+                "sha256:c1012fa63eb6c032f3ce5d2171c267992ae0c00b9e164efe4d73db818465fac3",
+                "sha256:c3a53ba34a636a256d767c086ceb111358876e1fb6b50dfc4d3f4951d40133d5",
+                "sha256:d4e2c6d555e77b37288eaf45b8f60f0737c9efa3452c6c44626a5455aeb250b9",
+                "sha256:de119f56f3c5f0e2fb4dee508531a32b069a5f2c6e827b272d1e0ff5ac040333",
+                "sha256:e65610c5792870d45d7b68c677681376fcf9cc1c289f23e8e8b39c1485384185",
+                "sha256:e9fdc7ac0d42bc3ea78818557fab03af6181e076a2944f43c38684b4b6bed8e3",
+                "sha256:ee4afac41415d52d53a9833ebae7e32b344be72835bbb589018c9e938045a560",
+                "sha256:f364d3480bffd3aa566e886587eaca7c8c04d74f6e8933f3f2c996b7f09bee1b",
+                "sha256:f3b078dbe227f79be488ffcfc7a9edb3409d018e0952cf13f15fd6512847f3f7",
+                "sha256:f4e2d08f07a3d7d3e12549052eb5ad3eab1c349c53ac51c209a0e5991bbada78",
+                "sha256:f7a3d8146575e08c29ed1cd287068e6d02f1c7bdff8970db96683b9591b86ee7"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==1.9.2"
+        },
+        "zipp": {
+            "hashes": [
+                "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b",
+                "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==3.15.0"
+        }
+    },
+    "develop": {}
+}
diff --git a/ingestion.py b/ingestion.py
index 8bf2e42..b72af0e 100644
--- a/ingestion.py
+++ b/ingestion.py
@@ -1,38 +1,14 @@
-import os
+import os 
 from langchain.document_loaders import ReadTheDocsLoader
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.vectorstores import Pinecone
-import pinecone
 
-pinecone.init(
-    api_key=os.environ["PINECONE_API_KEY"],
-    environment=os.environ["PINECONE_ENVIRONMENT_REGION"],
-)
 
 
 def ingest_docs() -> None:
-    loader = ReadTheDocsLoader(path="langchain-docs/langchain.readthedocs.io/en/latest")
-    raw_documents = loader.load()
-    print(f"loaded {len(raw_documents) }documents")
-    text_splitter = RecursiveCharacterTextSplitter(
-        chunk_size=1000, chunk_overlap=100, separators=["\n\n", "\n", " ", ""]
-    )
-    documents = text_splitter.split_documents(documents=raw_documents)
-    print(f"Splitted into {len(documents)} chunks")
+   loader = ReadTheDocsLoader(path="langchain-docs/langchain.readthedocs.io/en/latest")
+   raw_documents = loader.load()
 
-    for doc in documents:
-        old_path = doc.metadata["source"]
-        new_url = old_path.replace("langchain-docs", "https:/")
-        doc.metadata.update({"source": new_url})
 
-    print(f"Going to insert {len(documents)} to Pinecone")
-    embeddings = OpenAIEmbeddings()
-    Pinecone.from_documents(
-        documents[3969:], embeddings, index_name="langchain-doc-index"
-    )
-    print("****** Added to Pinecone vectorstore vectors")
+if __name__ ==  '__main__':
+    ingest_docs()
 
 
-if __name__ == "__main__":
-    ingest_docs()

From a14dd1760085d27a7f3ad605239667132f711fc3 Mon Sep 17 00:00:00 2001
From: Maxime Berthelot <maxime@buffer.com>
Date: Mon, 26 Jun 2023 16:03:02 +0200
Subject: [PATCH 06/12] implemented diggestion

---
 ingestion.py | 34 +++++++++++++++++++++++++++++-----
 1 file changed, 29 insertions(+), 5 deletions(-)

diff --git a/ingestion.py b/ingestion.py
index b72af0e..c671be6 100644
--- a/ingestion.py
+++ b/ingestion.py
@@ -1,14 +1,38 @@
-import os 
+import os
 from langchain.document_loaders import ReadTheDocsLoader
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain.vectorstores import Pinecone
+from langchain.embeddings import OpenAIEmbeddings
+import pinecone
 
+pinecone.init(
+    api_key=os.environ["PINECONE_API_KEY"],
+    environment=os.environ["PINECONE_ENVIRONMENT_REGION"],
+)
 
 
 def ingest_docs() -> None:
-   loader = ReadTheDocsLoader(path="langchain-docs/langchain.readthedocs.io/en/latest")
-   raw_documents = loader.load()
+    loader = ReadTheDocsLoader(path="langchain-docs/langchain.readthedocs.io/en/latest")
+    raw_documents = loader.load()
+    print(f"Loaded {len(raw_documents)} documents")
+    text_splitter = RecursiveCharacterTextSplitter(
+        chunk_size=1000, chunk_overlap=100, separators=["\n\n", "\n", " ", ""]
+    )
+    documents = text_splitter.split_documents(documents=raw_documents)
+    print(f"Split into {len(documents)} chunks")
 
+    for doc in documents:
+        old_path = doc.metadata["source"]
+        new_url = old_path.replace("langchain-docs", "https:/")
+        doc.metadata.update({"source": new_url})
 
-if __name__ ==  '__main__':
-    ingest_docs()
+    print(f"Going to insert {len(documents)} to Pinecone")
+    embeddings = OpenAIEmbeddings()
+    Pinecone.from_documents(
+        documents, embeddings, index_name="langchain-doc-index"
+    )
+    print("****** Added to Pinecone vectorstore vectors!")
 
 
+if __name__ == "__main__":
+    ingest_docs()

From d51ba7ccc132ada2eadce736e65fd895794912ae Mon Sep 17 00:00:00 2001
From: Maxime Berthelot <maxime@buffer.com>
Date: Tue, 27 Jun 2023 11:17:51 +0200
Subject: [PATCH 07/12] added backend/consts.py

---
 backend/__init__.py |  0
 backend/consts.py   |  1 +
 backend/core.py     | 33 +++++++++++++++++++++++++++++++++
 ingestion.py        |  7 ++++---
 4 files changed, 38 insertions(+), 3 deletions(-)
 create mode 100644 backend/__init__.py
 create mode 100644 backend/consts.py
 create mode 100644 backend/core.py

diff --git a/backend/__init__.py b/backend/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/backend/consts.py b/backend/consts.py
new file mode 100644
index 0000000..6300397
--- /dev/null
+++ b/backend/consts.py
@@ -0,0 +1 @@
+INDEX_NAME = "langchain-doc-index"
diff --git a/backend/core.py b/backend/core.py
new file mode 100644
index 0000000..086bca4
--- /dev/null
+++ b/backend/core.py
@@ -0,0 +1,33 @@
+import os
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.chat_models import ChatOpenAI
+from langchain.chains import RetrievalQA
+from langchain.vectorstores import Pinecone
+import pinecone
+from typing import Any
+
+from consts import INDEX_NAME
+
+pinecone.init(
+    api_key=os.environ["PINECONE_API_KEY"],
+    environment=os.environ["PINECONE_ENVIRONMENT_REGION"],
+)
+
+
+def run_llm(query: str) -> Any:
+    embeddings = OpenAIEmbeddings()
+    docsearch = Pinecone.from_existing_index(
+        INDEX_NAME, embeddings
+    )
+    chat = ChatOpenAI(verbose=True, temperature=0)
+    qa = RetrievalQA.from_chain_type(
+        llm=chat,
+        chain_type="stuff",
+        retriever=docsearch.as_retriever(),
+        return_source_documents=True,
+    )
+    return qa({"query": query})
+
+
+if __name__ == "__main__":
+    print(run_llm(query="What is Langchain?"))
diff --git a/ingestion.py b/ingestion.py
index c671be6..dc00653 100644
--- a/ingestion.py
+++ b/ingestion.py
@@ -5,6 +5,9 @@
 from langchain.embeddings import OpenAIEmbeddings
 import pinecone
 
+from consts import INDEX_NAME
+
+
 pinecone.init(
     api_key=os.environ["PINECONE_API_KEY"],
     environment=os.environ["PINECONE_ENVIRONMENT_REGION"],
@@ -28,9 +31,7 @@ def ingest_docs() -> None:
 
     print(f"Going to insert {len(documents)} to Pinecone")
     embeddings = OpenAIEmbeddings()
-    Pinecone.from_documents(
-        documents, embeddings, index_name="langchain-doc-index"
-    )
+    Pinecone.from_documents(documents, embeddings, index_name="INDEX_NAME")
     print("****** Added to Pinecone vectorstore vectors!")
 
 

From 559aca3dfba4fb58ba51a1cb67c9815558d6b4a1 Mon Sep 17 00:00:00 2001
From: Maxime Berthelot <maxime@buffer.com>
Date: Tue, 27 Jun 2023 15:06:21 +0200
Subject: [PATCH 08/12] implemented the user interface

---
 Pipfile                        |  1 +
 Pipfile.lock                   | 61 ++++++++++++++++++++++++++--------
 backend/core.py                |  4 +--
 backend/consts.py => consts.py |  0
 main.py                        | 49 +++++++++++++++++++++++++++
 5 files changed, 98 insertions(+), 17 deletions(-)
 rename backend/consts.py => consts.py (100%)
 create mode 100644 main.py

diff --git a/Pipfile b/Pipfile
index 94cd3f8..6340efa 100644
--- a/Pipfile
+++ b/Pipfile
@@ -18,6 +18,7 @@ uvicorn = "*"
 streamlit = "*"
 streamlit-chat = "*"
 tqdm = "*"
+watchdog = "*"
 
 [dev-packages]
 
diff --git a/Pipfile.lock b/Pipfile.lock
index 4425816..5b8c7df 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "cbc743c0293feeac74c88ddc83f106d7ae5bacdef4c0fcade9828bbb19f19e69"
+            "sha256": "0af838a560181a8dc8175f51f490af6cf761e20a1d122512432eb719de35c50b"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -644,18 +644,18 @@
         },
         "langchain": {
             "hashes": [
-                "sha256:a6b261f3be941eeac2d9b37fbf8996fa4279ef724f064e8c90813046126da85b",
-                "sha256:af9587c2eb317a6e33123f8a4ee8ccd8685cfab62359ea4fec52c962d9646acf"
+                "sha256:3b3d8fe1ad951191ba183dda996601d199e09eab859979a6a0defde8f11cac4a",
+                "sha256:6624582b445cb24f486ee9032dc58136aa1e5862ec7287e43739e930168aaa22"
             ],
             "index": "pypi",
-            "version": "==0.0.215"
+            "version": "==0.0.216"
         },
         "langchainplus-sdk": {
             "hashes": [
                 "sha256:6520c864a23dcadbe6fb7233a117347f6acc32725a97758e59354704c50de303",
                 "sha256:899675fe850bb0829691ce7643d5c3b4425de1535b6f2d6ce1e5f5457ffb05bf"
             ],
-            "markers": "python_full_version >= '3.8.1' and python_version < '4.0'",
+            "markers": "python_version < '4.0' and python_full_version >= '3.8.1'",
             "version": "==0.0.17"
         },
         "loguru": {
@@ -1361,7 +1361,7 @@
                 "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86",
                 "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"
             ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'",
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==2.8.2"
         },
         "python-docx": {
@@ -1570,7 +1570,7 @@
                 "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
                 "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
             ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2'",
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==1.16.0"
         },
         "smmap": {
@@ -1654,11 +1654,11 @@
         },
         "streamlit": {
             "hashes": [
-                "sha256:02cd55a95acd20d73ff03866956ba6e98d71041ee4728dbfef05cf17069d1bb9",
-                "sha256:af95a78f9d291f12f779cf66a2bdadfafd8a46fe4fcc6ed281492640ed37bf1e"
+                "sha256:102b07d196650f8f35841e35381427cdfcf98b3767c57b28a99af5a8bf22e8b1",
+                "sha256:3525face94c78792733c56d63a36b48845150e3ba67bb50a19adb4c5975a8225"
             ],
             "index": "pypi",
-            "version": "==1.23.1"
+            "version": "==1.24.0"
         },
         "streamlit-chat": {
             "hashes": [
@@ -1724,7 +1724,7 @@
                 "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b",
                 "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"
             ],
-            "markers": "python_version >= '2.6' and python_version not in '3.0, 3.1, 3.2'",
+            "markers": "python_version >= '2.6' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==0.10.2"
         },
         "toolz": {
@@ -1801,11 +1801,11 @@
         },
         "unstructured": {
             "hashes": [
-                "sha256:49863b90f7cacdaf36f83ae7a3975a5ac36ca7743f96f90e0e39255839ee3d5d",
-                "sha256:e4f32a63ba6492a545208e5029e99951d8c9b1313d9c8f6d4c5183d609b850c7"
+                "sha256:53afd4b38fd490246dd1ef61fd590140aff80e43ea3771bc70610e1bbf1c0919",
+                "sha256:c56a0832b8d876a8d89b159b3591207cc468852eb5254069552870771ac7451b"
             ],
             "index": "pypi",
-            "version": "==0.7.8"
+            "version": "==0.7.9"
         },
         "urllib3": {
             "hashes": [
@@ -1830,6 +1830,39 @@
             "markers": "python_version >= '3.4'",
             "version": "==0.20.0"
         },
+        "watchdog": {
+            "hashes": [
+                "sha256:0e06ab8858a76e1219e68c7573dfeba9dd1c0219476c5a44d5333b01d7e1743a",
+                "sha256:13bbbb462ee42ec3c5723e1205be8ced776f05b100e4737518c67c8325cf6100",
+                "sha256:233b5817932685d39a7896b1090353fc8efc1ef99c9c054e46c8002561252fb8",
+                "sha256:25f70b4aa53bd743729c7475d7ec41093a580528b100e9a8c5b5efe8899592fc",
+                "sha256:2b57a1e730af3156d13b7fdddfc23dea6487fceca29fc75c5a868beed29177ae",
+                "sha256:336adfc6f5cc4e037d52db31194f7581ff744b67382eb6021c868322e32eef41",
+                "sha256:3aa7f6a12e831ddfe78cdd4f8996af9cf334fd6346531b16cec61c3b3c0d8da0",
+                "sha256:3ed7c71a9dccfe838c2f0b6314ed0d9b22e77d268c67e015450a29036a81f60f",
+                "sha256:4c9956d27be0bb08fc5f30d9d0179a855436e655f046d288e2bcc11adfae893c",
+                "sha256:4d98a320595da7a7c5a18fc48cb633c2e73cda78f93cac2ef42d42bf609a33f9",
+                "sha256:4f94069eb16657d2c6faada4624c39464f65c05606af50bb7902e036e3219be3",
+                "sha256:5113334cf8cf0ac8cd45e1f8309a603291b614191c9add34d33075727a967709",
+                "sha256:51f90f73b4697bac9c9a78394c3acbbd331ccd3655c11be1a15ae6fe289a8c83",
+                "sha256:5d9f3a10e02d7371cd929b5d8f11e87d4bad890212ed3901f9b4d68767bee759",
+                "sha256:7ade88d0d778b1b222adebcc0927428f883db07017618a5e684fd03b83342bd9",
+                "sha256:7c5f84b5194c24dd573fa6472685b2a27cc5a17fe5f7b6fd40345378ca6812e3",
+                "sha256:7e447d172af52ad204d19982739aa2346245cc5ba6f579d16dac4bfec226d2e7",
+                "sha256:8ae9cda41fa114e28faf86cb137d751a17ffd0316d1c34ccf2235e8a84365c7f",
+                "sha256:8f3ceecd20d71067c7fd4c9e832d4e22584318983cabc013dbf3f70ea95de346",
+                "sha256:9fac43a7466eb73e64a9940ac9ed6369baa39b3bf221ae23493a9ec4d0022674",
+                "sha256:a70a8dcde91be523c35b2bf96196edc5730edb347e374c7de7cd20c43ed95397",
+                "sha256:adfdeab2da79ea2f76f87eb42a3ab1966a5313e5a69a0213a3cc06ef692b0e96",
+                "sha256:ba07e92756c97e3aca0912b5cbc4e5ad802f4557212788e72a72a47ff376950d",
+                "sha256:c07253088265c363d1ddf4b3cdb808d59a0468ecd017770ed716991620b8f77a",
+                "sha256:c9d8c8ec7efb887333cf71e328e39cffbf771d8f8f95d308ea4125bf5f90ba64",
+                "sha256:d00e6be486affb5781468457b21a6cbe848c33ef43f9ea4a73b4882e5f188a44",
+                "sha256:d429c2430c93b7903914e4db9a966c7f2b068dd2ebdd2fa9b9ce094c7d459f33"
+            ],
+            "index": "pypi",
+            "version": "==3.0.0"
+        },
         "wrapt": {
             "hashes": [
                 "sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3",
diff --git a/backend/core.py b/backend/core.py
index 086bca4..0bc8f56 100644
--- a/backend/core.py
+++ b/backend/core.py
@@ -16,9 +16,7 @@
 
 def run_llm(query: str) -> Any:
     embeddings = OpenAIEmbeddings()
-    docsearch = Pinecone.from_existing_index(
-        INDEX_NAME, embeddings
-    )
+    docsearch = Pinecone.from_existing_index(INDEX_NAME, embeddings)
     chat = ChatOpenAI(verbose=True, temperature=0)
     qa = RetrievalQA.from_chain_type(
         llm=chat,
diff --git a/backend/consts.py b/consts.py
similarity index 100%
rename from backend/consts.py
rename to consts.py
diff --git a/main.py b/main.py
new file mode 100644
index 0000000..838017b
--- /dev/null
+++ b/main.py
@@ -0,0 +1,49 @@
+from typing import Set
+
+from backend.core import run_llm
+import streamlit as st
+from streamlit_chat import message
+
+st.header("Langchain Doc Bot Helper")
+
+prompt = st.text_input("Prompt", placeholder="Enter your question here:")
+
+if "user_prompt_history" not in st.session_state:
+    st.session_state["user_prompt_history"] = []
+
+if "chat_answers_history" not in st.session_state:
+    st.session_state["chat_answers_history"] = []
+
+
+
+def create_sources_string(source_urls: Set[str]) -> str:
+    if not source_urls:
+        return ""
+    sources_list = list(source_urls)
+    sources_list.sort()
+    sources_string = "sources:\n"
+    for i, source in enumerate(sources_list):
+        sources_string += f"{i+1}. {source}\n"
+    return sources_string
+
+
+
+if prompt:
+    with st.spinner("Thinking..."):
+        generated_response = run_llm(query=prompt)
+        sources = set(
+            [doc.metadata["source"] for doc in generated_response["source_documents"]]
+        )
+
+        formated_response = (
+            f"{generated_response['result']}\n\n {create_sources_string(sources)}"
+        )
+
+        st.session_state["user_prompt_history"].append(prompt)
+        st.session_state["chat_answers_history"].append(formated_response)
+
+if st.session_state["chat_answers_history"]:
+    for generated_response, user_query in zip(st.session_state["chat_answers_history"], st.session_state["user_prompt_history"]):
+        message(user_query, is_user="True")
+        message(generated_response)
+        

From eaeeaed31e1ecb0358b92b131902771aeb8e9593 Mon Sep 17 00:00:00 2001
From: Maxime Berthelot <maxime@buffer.com>
Date: Fri, 30 Jun 2023 10:44:14 +0200
Subject: [PATCH 09/12] added backend

---
 backend/core.py | 17 ++++++++---------
 main.py         |  7 +++++--
 2 files changed, 13 insertions(+), 11 deletions(-)

diff --git a/backend/core.py b/backend/core.py
index 0bc8f56..f3f33e6 100644
--- a/backend/core.py
+++ b/backend/core.py
@@ -1,10 +1,10 @@
 import os
 from langchain.embeddings import OpenAIEmbeddings
 from langchain.chat_models import ChatOpenAI
-from langchain.chains import RetrievalQA
+from langchain.chains import ConversationalRetrievalChain
 from langchain.vectorstores import Pinecone
 import pinecone
-from typing import Any
+from typing import Any, Dict, List
 
 from consts import INDEX_NAME
 
@@ -14,17 +14,16 @@
 )
 
 
-def run_llm(query: str) -> Any:
+def run_llm(query: str, chat_history: List[Dict[str, Any]] = []):
     embeddings = OpenAIEmbeddings()
     docsearch = Pinecone.from_existing_index(INDEX_NAME, embeddings)
     chat = ChatOpenAI(verbose=True, temperature=0)
-    qa = RetrievalQA.from_chain_type(
-        llm=chat,
-        chain_type="stuff",
-        retriever=docsearch.as_retriever(),
-        return_source_documents=True,
+
+    qa = ConversationalRetrievalChain.from_llm(
+        llm=chat, retriever=docsearch.as_retriever(), return_source_documents=True
     )
-    return qa({"query": query})
+
+    return qa({"question": query, "chat_history": chat_history})
 
 
 if __name__ == "__main__":
diff --git a/main.py b/main.py
index 838017b..e87d0e2 100644
--- a/main.py
+++ b/main.py
@@ -14,6 +14,8 @@
 if "chat_answers_history" not in st.session_state:
     st.session_state["chat_answers_history"] = []
 
+if "chat_history" not in st.session_state:
+    st.session_state["chat_history"] = []
 
 
 def create_sources_string(source_urls: Set[str]) -> str:
@@ -30,17 +32,18 @@ def create_sources_string(source_urls: Set[str]) -> str:
 
 if prompt:
     with st.spinner("Thinking..."):
-        generated_response = run_llm(query=prompt)
+        generated_response = run_llm(query=prompt, chat_history=st.session_state["chat_history"])
         sources = set(
             [doc.metadata["source"] for doc in generated_response["source_documents"]]
         )
 
         formated_response = (
-            f"{generated_response['result']}\n\n {create_sources_string(sources)}"
+            f"{generated_response['answer']} \n\n {create_sources_string(sources)}"
         )
 
         st.session_state["user_prompt_history"].append(prompt)
         st.session_state["chat_answers_history"].append(formated_response)
+        st.session_state["chat_history"].append((prompt, generated_response["answer"]))
 
 if st.session_state["chat_answers_history"]:
     for generated_response, user_query in zip(st.session_state["chat_answers_history"], st.session_state["user_prompt_history"]):

From 40f8c4b92ee3f0437cf53e70254fc61bb4c8a8a7 Mon Sep 17 00:00:00 2001
From: Maxime Berthelot <maxime@buffer.com>
Date: Sat, 1 Jul 2023 11:22:28 +0200
Subject: [PATCH 10/12] 4-memory -- clean before merge

---
 .DS_Store                | Bin 0 -> 6148 bytes
 Pipfile                  |   4 +
 Pipfile.lock             | 395 ++++++++++++++++++++++++++++++++-------
 modules/__init__.py      |   0
 modules/youtubeloader.py |  52 ++++++
 5 files changed, 386 insertions(+), 65 deletions(-)
 create mode 100644 .DS_Store
 create mode 100644 modules/__init__.py
 create mode 100644 modules/youtubeloader.py

diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..4a97a1c86123454b60138a8848284e198e94cc33
GIT binary patch
literal 6148
zcmeHK!Ab)$5S`SjTZ+<yg2#Z@inW%4cv))w0ax^(Qg_|bF0M)Gw)Rj8d)6QFOZ*;Z
zl2nwc7eS=Vz~oIPGYNTFG8+I8t#Nz+PyqlBm9S94<_n>5(gi6v51}w~+(92gNI=2f
zLNq)6BLj4Hn~>tEDd@q+^NT@aKZ_>WAWC(FaWByzO|ns~_9_Z1#nrWSZ`~_<H$h)d
zf>AgcXRUB}MZI&a(`aso(M8gobShgXT8+X)b%!P)iMtqbeVM3OPg;7c;>_d*cEBrn
zrA}pMI;|fytMaf}n^ooXs9vkeMzb-SmAviU{o}LFefpsElO<N*H)v$T;T)dP_;HVq
z!BC}I^)PNe$2^yj8DIvOfn{XC-F04h88^p!Vg{IjUok-UgG43t9p)Cz)qxHDKGJxR
zkOXadOAtzjzQf!ij-UveifB`XdtwNij(+Lle22M3n-0RPjPtmag?ph0vpV{v2?ya@
z<dzv=20k;eV!IWp|EJ%-|34>jj~QSFmWlyUYzOTYZpqcwh0Rf|m8iF<Bovohd{05c
ilwypfQoMs|1pSf>MBia<5j`mUBVcIYh8g%%2HpTO@lY!O

literal 0
HcmV?d00001

diff --git a/Pipfile b/Pipfile
index 6340efa..8364a56 100644
--- a/Pipfile
+++ b/Pipfile
@@ -19,6 +19,10 @@ streamlit = "*"
 streamlit-chat = "*"
 tqdm = "*"
 watchdog = "*"
+yt-dlp = "*"
+youtube-dl = "*"
+pydub = "*"
+faiss-cpu = "*"
 
 [dev-packages]
 
diff --git a/Pipfile.lock b/Pipfile.lock
index 5b8c7df..68fdbfb 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "0af838a560181a8dc8175f51f490af6cf761e20a1d122512432eb719de35c50b"
+            "sha256": "b8094e7f037b3703cf8f8004192ee30029aacedb9b8524b39f6db6c6f3b2c5e3"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -136,11 +136,11 @@
         },
         "argilla": {
             "hashes": [
-                "sha256:8c4ac1760f3304404c3fa8acb7fe494895c558f3b007e7d2889c90968bd8a700",
-                "sha256:ec260f97b7bd01f3e1a4a126b386b57e6d77e3300395e93843c14d33f7946486"
+                "sha256:90df3a05ce21cfd337de9c65715497fc27916c0589e517ae024ff88b07183341",
+                "sha256:b1b61fbe2ba5aba5e952e51d837d6fb97ddaca58ad09d890bcfddb2cc2587ee5"
             ],
             "markers": "python_version < '3.12' and python_version >= '3.8'",
-            "version": "==1.11.0"
+            "version": "==1.12.0"
         },
         "async-timeout": {
             "hashes": [
@@ -213,6 +213,94 @@
             "markers": "python_version >= '3.7'",
             "version": "==1.6.2"
         },
+        "brotli": {
+            "hashes": [
+                "sha256:02177603aaca36e1fd21b091cb742bb3b305a569e2402f1ca38af471777fb019",
+                "sha256:11d3283d89af7033236fa4e73ec2cbe743d4f6a81d41bd234f24bf63dde979df",
+                "sha256:12effe280b8ebfd389022aa65114e30407540ccb89b177d3fbc9a4f177c4bd5d",
+                "sha256:160c78292e98d21e73a4cc7f76a234390e516afcd982fa17e1422f7c6a9ce9c8",
+                "sha256:16d528a45c2e1909c2798f27f7bf0a3feec1dc9e50948e738b961618e38b6a7b",
+                "sha256:19598ecddd8a212aedb1ffa15763dd52a388518c4550e615aed88dc3753c0f0c",
+                "sha256:1c48472a6ba3b113452355b9af0a60da5c2ae60477f8feda8346f8fd48e3e87c",
+                "sha256:268fe94547ba25b58ebc724680609c8ee3e5a843202e9a381f6f9c5e8bdb5c70",
+                "sha256:269a5743a393c65db46a7bb982644c67ecba4b8d91b392403ad8a861ba6f495f",
+                "sha256:26d168aac4aaec9a4394221240e8a5436b5634adc3cd1cdf637f6645cecbf181",
+                "sha256:29d1d350178e5225397e28ea1b7aca3648fcbab546d20e7475805437bfb0a130",
+                "sha256:2aad0e0baa04517741c9bb5b07586c642302e5fb3e75319cb62087bd0995ab19",
+                "sha256:3148362937217b7072cf80a2dcc007f09bb5ecb96dae4617316638194113d5be",
+                "sha256:330e3f10cd01da535c70d09c4283ba2df5fb78e915bea0a28becad6e2ac010be",
+                "sha256:336b40348269f9b91268378de5ff44dc6fbaa2268194f85177b53463d313842a",
+                "sha256:3496fc835370da351d37cada4cf744039616a6db7d13c430035e901443a34daa",
+                "sha256:35a3edbe18e876e596553c4007a087f8bcfd538f19bc116917b3c7522fca0429",
+                "sha256:3b78a24b5fd13c03ee2b7b86290ed20efdc95da75a3557cc06811764d5ad1126",
+                "sha256:3b8b09a16a1950b9ef495a0f8b9d0a87599a9d1f179e2d4ac014b2ec831f87e7",
+                "sha256:3c1306004d49b84bd0c4f90457c6f57ad109f5cc6067a9664e12b7b79a9948ad",
+                "sha256:3ffaadcaeafe9d30a7e4e1e97ad727e4f5610b9fa2f7551998471e3736738679",
+                "sha256:40d15c79f42e0a2c72892bf407979febd9cf91f36f495ffb333d1d04cebb34e4",
+                "sha256:44bb8ff420c1d19d91d79d8c3574b8954288bdff0273bf788954064d260d7ab0",
+                "sha256:4688c1e42968ba52e57d8670ad2306fe92e0169c6f3af0089be75bbac0c64a3b",
+                "sha256:495ba7e49c2db22b046a53b469bbecea802efce200dffb69b93dd47397edc9b6",
+                "sha256:4d1b810aa0ed773f81dceda2cc7b403d01057458730e309856356d4ef4188438",
+                "sha256:503fa6af7da9f4b5780bb7e4cbe0c639b010f12be85d02c99452825dd0feef3f",
+                "sha256:56d027eace784738457437df7331965473f2c0da2c70e1a1f6fdbae5402e0389",
+                "sha256:5913a1177fc36e30fcf6dc868ce23b0453952c78c04c266d3149b3d39e1410d6",
+                "sha256:5b6ef7d9f9c38292df3690fe3e302b5b530999fa90014853dcd0d6902fb59f26",
+                "sha256:5bf37a08493232fbb0f8229f1824b366c2fc1d02d64e7e918af40acd15f3e337",
+                "sha256:5cb1e18167792d7d21e21365d7650b72d5081ed476123ff7b8cac7f45189c0c7",
+                "sha256:61a7ee1f13ab913897dac7da44a73c6d44d48a4adff42a5701e3239791c96e14",
+                "sha256:622a231b08899c864eb87e85f81c75e7b9ce05b001e59bbfbf43d4a71f5f32b2",
+                "sha256:68715970f16b6e92c574c30747c95cf8cf62804569647386ff032195dc89a430",
+                "sha256:6b2ae9f5f67f89aade1fab0f7fd8f2832501311c363a21579d02defa844d9296",
+                "sha256:6c772d6c0a79ac0f414a9f8947cc407e119b8598de7621f39cacadae3cf57d12",
+                "sha256:6d847b14f7ea89f6ad3c9e3901d1bc4835f6b390a9c71df999b0162d9bb1e20f",
+                "sha256:73fd30d4ce0ea48010564ccee1a26bfe39323fde05cb34b5863455629db61dc7",
+                "sha256:76ffebb907bec09ff511bb3acc077695e2c32bc2142819491579a695f77ffd4d",
+                "sha256:7bbff90b63328013e1e8cb50650ae0b9bac54ffb4be6104378490193cd60f85a",
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+                "sha256:854c33dad5ba0fbd6ab69185fec8dab89e13cda6b7d191ba111987df74f38761",
+                "sha256:85f7912459c67eaab2fb854ed2bc1cc25772b300545fe7ed2dc03954da638649",
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+                "sha256:b83bb06a0192cccf1eb8d0a28672a1b79c74c3a8a5f2619625aeb6f28b3a82bb",
+                "sha256:ba72d37e2a924717990f4d7482e8ac88e2ef43fb95491eb6e0d124d77d2a150d",
+                "sha256:c2415d9d082152460f2bd4e382a1e85aed233abc92db5a3880da2257dc7daf7b",
+                "sha256:c83aa123d56f2e060644427a882a36b3c12db93727ad7a7b9efd7d7f3e9cc2c4",
+                "sha256:c8e521a0ce7cf690ca84b8cc2272ddaf9d8a50294fd086da67e517439614c755",
+                "sha256:cab1b5964b39607a66adbba01f1c12df2e55ac36c81ec6ed44f2fca44178bf1a",
+                "sha256:cb02ed34557afde2d2da68194d12f5719ee96cfb2eacc886352cb73e3808fc5d",
+                "sha256:cc0283a406774f465fb45ec7efb66857c09ffefbe49ec20b7882eff6d3c86d3a",
+                "sha256:cfc391f4429ee0a9370aa93d812a52e1fee0f37a81861f4fdd1f4fb28e8547c3",
+                "sha256:db844eb158a87ccab83e868a762ea8024ae27337fc7ddcbfcddd157f841fdfe7",
+                "sha256:defed7ea5f218a9f2336301e6fd379f55c655bea65ba2476346340a0ce6f74a1",
+                "sha256:e16eb9541f3dd1a3e92b89005e37b1257b157b7256df0e36bd7b33b50be73bcb",
+                "sha256:e1abbeef02962596548382e393f56e4c94acd286bd0c5afba756cffc33670e8a",
+                "sha256:e23281b9a08ec338469268f98f194658abfb13658ee98e2b7f85ee9dd06caa91",
+                "sha256:e2d9e1cbc1b25e22000328702b014227737756f4b5bf5c485ac1d8091ada078b",
+                "sha256:e48f4234f2469ed012a98f4b7874e7f7e173c167bed4934912a29e03167cf6b1",
+                "sha256:e4c4e92c14a57c9bd4cb4be678c25369bf7a092d55fd0866f759e425b9660806",
+                "sha256:ec1947eabbaf8e0531e8e899fc1d9876c179fc518989461f5d24e2223395a9e3",
+                "sha256:f909bbbc433048b499cb9db9e713b5d8d949e8c109a2a548502fb9aa8630f0b1"
+            ],
+            "markers": "platform_python_implementation == 'CPython'",
+            "version": "==1.0.9"
+        },
         "cachetools": {
             "hashes": [
                 "sha256:95ef631eeaea14ba2e36f06437f36463aac3a096799e876ee55e5cdccb102590",
@@ -429,11 +517,11 @@
         },
         "dataclasses-json": {
             "hashes": [
-                "sha256:6572ac08ad9340abcb74fd8c4c8e9752db2a182a402c8e871d0a8aa119e3804e",
-                "sha256:65b167c15fdf9bde27569c09ac18dd39bf1cc5b7998525024cb4678d2653946c"
+                "sha256:1280542631df1c375b7bc92e5b86d39e06c44760d7e3571a537b3b8acabf2f0c",
+                "sha256:e9ac87b73edc0141aafbce02b44e93553c3123ad574958f0fe52a534b6707e8e"
             ],
             "markers": "python_version >= '3.6'",
-            "version": "==0.5.8"
+            "version": "==0.5.9"
         },
         "decorator": {
             "hashes": [
@@ -467,13 +555,44 @@
             "markers": "python_version >= '3.6'",
             "version": "==1.1.0"
         },
+        "faiss-cpu": {
+            "hashes": [
+                "sha256:0c2e5b9d8c28c99f990e87379d5bbcc6c914da91ebb4250166864fd12db5755b",
+                "sha256:102b1bd763e9b0c281ac312590af3eaf1c8b663ccbc1145821fe6a9f92b8eaaf",
+                "sha256:12d45e0157024eb3249842163162983a1ac8b458f1a8b17bbf86f01be4585a99",
+                "sha256:17b7fa7194a228a84929d9e6619d0e7dbf00cc0f717e3462253766f5e3d07de8",
+                "sha256:265dc31b0c079bf4433303bf6010f73922490adff9188b915e2d3f5e9c82dd0a",
+                "sha256:2f0eab359e066d32c874f51a7d4bf6440edeec068b7fe47e6d803c73605a8b4c",
+                "sha256:2ff7f57889ea31d945e3b87275be3cad5d55b6261a4e3f51c7aba304d76b81fb",
+                "sha256:31bfb7b9cffc36897ae02a983e04c09fe3b8c053110a287134751a115334a1df",
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+            "version": "==1.7.4"
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-            "version": "==0.98.0"
+            "version": "==0.99.0"
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@@ -628,11 +747,11 @@
         },
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@@ -644,19 +763,19 @@
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@@ -923,6 +1042,14 @@
             "markers": "python_version >= '3.7'",
             "version": "==6.0.4"
         },
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@@ -1249,47 +1376,85 @@
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@@ -1299,6 +1464,14 @@
             "markers": "python_version >= '3.7'",
             "version": "==0.8.1b0"
         },
+        "pydub": {
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@@ -1762,19 +1935,19 @@
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             ],
             "markers": "python_version >= '3.7'",
-            "version": "==4.6.3"
+            "version": "==4.7.0"
         },
         "typing-inspect": {
             "hashes": [
@@ -1801,11 +1974,11 @@
         },
         "unstructured": {
             "hashes": [
-                "sha256:53afd4b38fd490246dd1ef61fd590140aff80e43ea3771bc70610e1bbf1c0919",
-                "sha256:c56a0832b8d876a8d89b159b3591207cc468852eb5254069552870771ac7451b"
+                "sha256:3dcddea34f52e1070f38fd10063b3b0f64bc4cbe5b778d6b86b5d33262d625cd",
+                "sha256:6dec4f23574e213f30bccb680a4fb84c95617092ce4abf5d8955cc71af402fef"
             ],
             "index": "pypi",
-            "version": "==0.7.9"
+            "version": "==0.7.12"
         },
         "urllib3": {
             "hashes": [
@@ -1863,6 +2036,82 @@
             "index": "pypi",
             "version": "==3.0.0"
         },
+        "websockets": {
+            "hashes": [
+                "sha256:01f5567d9cf6f502d655151645d4e8b72b453413d3819d2b6f1185abc23e82dd",
+                "sha256:03aae4edc0b1c68498f41a6772d80ac7c1e33c06c6ffa2ac1c27a07653e79d6f",
+                "sha256:0ac56b661e60edd453585f4bd68eb6a29ae25b5184fd5ba51e97652580458998",
+                "sha256:0ee68fe502f9031f19d495dae2c268830df2760c0524cbac5d759921ba8c8e82",
+                "sha256:1553cb82942b2a74dd9b15a018dce645d4e68674de2ca31ff13ebc2d9f283788",
+                "sha256:1a073fc9ab1c8aff37c99f11f1641e16da517770e31a37265d2755282a5d28aa",
+                "sha256:1d2256283fa4b7f4c7d7d3e84dc2ece74d341bce57d5b9bf385df109c2a1a82f",
+                "sha256:1d5023a4b6a5b183dc838808087033ec5df77580485fc533e7dab2567851b0a4",
+                "sha256:1fdf26fa8a6a592f8f9235285b8affa72748dc12e964a5518c6c5e8f916716f7",
+                "sha256:2529338a6ff0eb0b50c7be33dc3d0e456381157a31eefc561771ee431134a97f",
+                "sha256:279e5de4671e79a9ac877427f4ac4ce93751b8823f276b681d04b2156713b9dd",
+                "sha256:2d903ad4419f5b472de90cd2d40384573b25da71e33519a67797de17ef849b69",
+                "sha256:332d126167ddddec94597c2365537baf9ff62dfcc9db4266f263d455f2f031cb",
+                "sha256:34fd59a4ac42dff6d4681d8843217137f6bc85ed29722f2f7222bd619d15e95b",
+                "sha256:3580dd9c1ad0701169e4d6fc41e878ffe05e6bdcaf3c412f9d559389d0c9e016",
+                "sha256:3ccc8a0c387629aec40f2fc9fdcb4b9d5431954f934da3eaf16cdc94f67dbfac",
+                "sha256:41f696ba95cd92dc047e46b41b26dd24518384749ed0d99bea0a941ca87404c4",
+                "sha256:42cc5452a54a8e46a032521d7365da775823e21bfba2895fb7b77633cce031bb",
+                "sha256:4841ed00f1026dfbced6fca7d963c4e7043aa832648671b5138008dc5a8f6d99",
+                "sha256:4b253869ea05a5a073ebfdcb5cb3b0266a57c3764cf6fe114e4cd90f4bfa5f5e",
+                "sha256:54c6e5b3d3a8936a4ab6870d46bdd6ec500ad62bde9e44462c32d18f1e9a8e54",
+                "sha256:619d9f06372b3a42bc29d0cd0354c9bb9fb39c2cbc1a9c5025b4538738dbffaf",
+                "sha256:6505c1b31274723ccaf5f515c1824a4ad2f0d191cec942666b3d0f3aa4cb4007",
+                "sha256:660e2d9068d2bedc0912af508f30bbeb505bbbf9774d98def45f68278cea20d3",
+                "sha256:6681ba9e7f8f3b19440921e99efbb40fc89f26cd71bf539e45d8c8a25c976dc6",
+                "sha256:68b977f21ce443d6d378dbd5ca38621755f2063d6fdb3335bda981d552cfff86",
+                "sha256:69269f3a0b472e91125b503d3c0b3566bda26da0a3261c49f0027eb6075086d1",
+                "sha256:6f1a3f10f836fab6ca6efa97bb952300b20ae56b409414ca85bff2ad241d2a61",
+                "sha256:7622a89d696fc87af8e8d280d9b421db5133ef5b29d3f7a1ce9f1a7bf7fcfa11",
+                "sha256:777354ee16f02f643a4c7f2b3eff8027a33c9861edc691a2003531f5da4f6bc8",
+                "sha256:84d27a4832cc1a0ee07cdcf2b0629a8a72db73f4cf6de6f0904f6661227f256f",
+                "sha256:8531fdcad636d82c517b26a448dcfe62f720e1922b33c81ce695d0edb91eb931",
+                "sha256:86d2a77fd490ae3ff6fae1c6ceaecad063d3cc2320b44377efdde79880e11526",
+                "sha256:88fc51d9a26b10fc331be344f1781224a375b78488fc343620184e95a4b27016",
+                "sha256:8a34e13a62a59c871064dfd8ffb150867e54291e46d4a7cf11d02c94a5275bae",
+                "sha256:8c82f11964f010053e13daafdc7154ce7385ecc538989a354ccc7067fd7028fd",
+                "sha256:92b2065d642bf8c0a82d59e59053dd2fdde64d4ed44efe4870fa816c1232647b",
+                "sha256:97b52894d948d2f6ea480171a27122d77af14ced35f62e5c892ca2fae9344311",
+                "sha256:9d9acd80072abcc98bd2c86c3c9cd4ac2347b5a5a0cae7ed5c0ee5675f86d9af",
+                "sha256:9f59a3c656fef341a99e3d63189852be7084c0e54b75734cde571182c087b152",
+                "sha256:aa5003845cdd21ac0dc6c9bf661c5beddd01116f6eb9eb3c8e272353d45b3288",
+                "sha256:b16fff62b45eccb9c7abb18e60e7e446998093cdcb50fed33134b9b6878836de",
+                "sha256:b30c6590146e53149f04e85a6e4fcae068df4289e31e4aee1fdf56a0dead8f97",
+                "sha256:b58cbf0697721120866820b89f93659abc31c1e876bf20d0b3d03cef14faf84d",
+                "sha256:b67c6f5e5a401fc56394f191f00f9b3811fe843ee93f4a70df3c389d1adf857d",
+                "sha256:bceab846bac555aff6427d060f2fcfff71042dba6f5fca7dc4f75cac815e57ca",
+                "sha256:bee9fcb41db2a23bed96c6b6ead6489702c12334ea20a297aa095ce6d31370d0",
+                "sha256:c114e8da9b475739dde229fd3bc6b05a6537a88a578358bc8eb29b4030fac9c9",
+                "sha256:c1f0524f203e3bd35149f12157438f406eff2e4fb30f71221c8a5eceb3617b6b",
+                "sha256:c792ea4eabc0159535608fc5658a74d1a81020eb35195dd63214dcf07556f67e",
+                "sha256:c7f3cb904cce8e1be667c7e6fef4516b98d1a6a0635a58a57528d577ac18a128",
+                "sha256:d67ac60a307f760c6e65dad586f556dde58e683fab03323221a4e530ead6f74d",
+                "sha256:dcacf2c7a6c3a84e720d1bb2b543c675bf6c40e460300b628bab1b1efc7c034c",
+                "sha256:de36fe9c02995c7e6ae6efe2e205816f5f00c22fd1fbf343d4d18c3d5ceac2f5",
+                "sha256:def07915168ac8f7853812cc593c71185a16216e9e4fa886358a17ed0fd9fcf6",
+                "sha256:df41b9bc27c2c25b486bae7cf42fccdc52ff181c8c387bfd026624a491c2671b",
+                "sha256:e052b8467dd07d4943936009f46ae5ce7b908ddcac3fda581656b1b19c083d9b",
+                "sha256:e063b1865974611313a3849d43f2c3f5368093691349cf3c7c8f8f75ad7cb280",
+                "sha256:e1459677e5d12be8bbc7584c35b992eea142911a6236a3278b9b5ce3326f282c",
+                "sha256:e1a99a7a71631f0efe727c10edfba09ea6bee4166a6f9c19aafb6c0b5917d09c",
+                "sha256:e590228200fcfc7e9109509e4d9125eace2042fd52b595dd22bbc34bb282307f",
+                "sha256:e6316827e3e79b7b8e7d8e3b08f4e331af91a48e794d5d8b099928b6f0b85f20",
+                "sha256:e7837cb169eca3b3ae94cc5787c4fed99eef74c0ab9506756eea335e0d6f3ed8",
+                "sha256:e848f46a58b9fcf3d06061d17be388caf70ea5b8cc3466251963c8345e13f7eb",
+                "sha256:ed058398f55163a79bb9f06a90ef9ccc063b204bb346c4de78efc5d15abfe602",
+                "sha256:f2e58f2c36cc52d41f2659e4c0cbf7353e28c8c9e63e30d8c6d3494dc9fdedcf",
+                "sha256:f467ba0050b7de85016b43f5a22b46383ef004c4f672148a8abf32bc999a87f0",
+                "sha256:f61bdb1df43dc9c131791fbc2355535f9024b9a04398d3bd0684fc16ab07df74",
+                "sha256:fb06eea71a00a7af0ae6aefbb932fb8a7df3cb390cc217d51a9ad7343de1b8d0",
+                "sha256:ffd7dcaf744f25f82190856bc26ed81721508fc5cbf2a330751e135ff1283564"
+            ],
+            "markers": "python_version >= '3.7'",
+            "version": "==11.0.3"
+        },
         "wrapt": {
             "hashes": [
                 "sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3",
@@ -2029,6 +2278,22 @@
             "markers": "python_version >= '3.7'",
             "version": "==1.9.2"
         },
+        "youtube-dl": {
+            "hashes": [
+                "sha256:bc59e86c5d15d887ac590454511f08ce2c47698d5a82c27bfe27b5d814bbaed2",
+                "sha256:f1336d5de68647e0364a47b3c0712578e59ec76f02048ff5c50ef1c69d79cd55"
+            ],
+            "index": "pypi",
+            "version": "==2021.12.17"
+        },
+        "yt-dlp": {
+            "hashes": [
+                "sha256:c559885322f7f492c1e7fc8f5a59e2a72e47719b59575599cf8b0e69ea70d0a8",
+                "sha256:ed6a8b8e0ad08a4540d4afa0fd08a7f980022c79b9081bd9e63ddc00aeeee5a8"
+            ],
+            "index": "pypi",
+            "version": "==2023.6.22"
+        },
         "zipp": {
             "hashes": [
                 "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b",
diff --git a/modules/__init__.py b/modules/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/modules/youtubeloader.py b/modules/youtubeloader.py
new file mode 100644
index 0000000..c600a1d
--- /dev/null
+++ b/modules/youtubeloader.py
@@ -0,0 +1,52 @@
+import os
+from langchain.document_loaders.generic import GenericLoader
+from langchain.document_loaders.parsers import OpenAIWhisperParser
+from langchain.document_loaders.blob_loaders.youtube_audio import YoutubeAudioLoader
+
+from langchain.chains import RetrievalQA
+from langchain.vectorstores import FAISS
+from langchain.chat_models import ChatOpenAI
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+
+OPENAI_API_KEY=os.environ["OPENAI_API_KEY"]
+
+# Two Karpathy lecture videos
+#urls = ["https://youtu.be/kCc8FmEb1nY", "https://youtu.be/VMj-3S1tku0"]
+urls = ["https://youtu.be/kCc8FmEb1nY"]
+
+
+# Directory to save audio files
+save_dir = "/Users/maximeberthelot/Downloads/YouTube"
+
+# Transcribe the videos to text
+loader = GenericLoader(YoutubeAudioLoader(urls, save_dir), OpenAIWhisperParser())
+docs = loader.load()
+#print(docs)  # Add this line to check if the docs list is empty
+
+# Returns a list of Documents, which can be easily viewed or parsed
+docs[0].page_content[0:500]
+
+# Combine doc
+combined_docs = [doc.page_content for doc in docs]
+text = " ".join(combined_docs)
+
+# Split them
+text_splitter = RecursiveCharacterTextSplitter(chunk_size=1500, chunk_overlap=150)
+splits = text_splitter.split_text(text)
+
+# Build an index
+embeddings = OpenAIEmbeddings()
+vectordb = FAISS.from_texts(splits, embeddings)
+
+# Build a QA chain
+qa_chain = RetrievalQA.from_chain_type(
+    llm=ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0),
+    chain_type="stuff",
+    retriever=vectordb.as_retriever(),
+)
+
+# Ask a question!
+query = "Why do we need to zero out the gradient before backprop at each step?"
+answer = qa_chain.run(query)
+print(answer)

From a7c976cd30de673b4e5419729e5de7fe617395d1 Mon Sep 17 00:00:00 2001
From: Maxime Berthelot <maxime@buffer.com>
Date: Tue, 4 Jul 2023 12:49:26 +0200
Subject: [PATCH 11/12] added youtubeloarder.py

---
 Pipfile                  |  1 +
 Pipfile.lock             | 10 +++++++-
 backend/core.py          |  4 ++-
 ingestion.py             |  4 +++
 main.py                  | 54 +++++++++++++++++++++++-----------------
 modules/youtubeloader.py | 31 +++++++++++++++--------
 6 files changed, 68 insertions(+), 36 deletions(-)

diff --git a/Pipfile b/Pipfile
index 8364a56..e2ab811 100644
--- a/Pipfile
+++ b/Pipfile
@@ -23,6 +23,7 @@ yt-dlp = "*"
 youtube-dl = "*"
 pydub = "*"
 faiss-cpu = "*"
+python-dotenv = "*"
 
 [dev-packages]
 
diff --git a/Pipfile.lock b/Pipfile.lock
index 68fdbfb..52b49c8 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "b8094e7f037b3703cf8f8004192ee30029aacedb9b8524b39f6db6c6f3b2c5e3"
+            "sha256": "edb4ca8413b843efead4b844515d0d3aa0ed91e440367f824671abc77186c639"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -1543,6 +1543,14 @@
             ],
             "version": "==0.8.11"
         },
+        "python-dotenv": {
+            "hashes": [
+                "sha256:a8df96034aae6d2d50a4ebe8216326c61c3eb64836776504fcca410e5937a3ba",
+                "sha256:f5971a9226b701070a4bf2c38c89e5a3f0d64de8debda981d1db98583009122a"
+            ],
+            "index": "pypi",
+            "version": "==1.0.0"
+        },
         "python-magic": {
             "hashes": [
                 "sha256:c1ba14b08e4a5f5c31a302b7721239695b2f0f058d125bd5ce1ee36b9d9d3c3b",
diff --git a/backend/core.py b/backend/core.py
index f3f33e6..720d7ca 100644
--- a/backend/core.py
+++ b/backend/core.py
@@ -1,3 +1,4 @@
+from dotenv import load_dotenv
 import os
 from langchain.embeddings import OpenAIEmbeddings
 from langchain.chat_models import ChatOpenAI
@@ -8,11 +9,12 @@
 
 from consts import INDEX_NAME
 
+load_dotenv()
 pinecone.init(
     api_key=os.environ["PINECONE_API_KEY"],
     environment=os.environ["PINECONE_ENVIRONMENT_REGION"],
 )
-
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 
 def run_llm(query: str, chat_history: List[Dict[str, Any]] = []):
     embeddings = OpenAIEmbeddings()
diff --git a/ingestion.py b/ingestion.py
index dc00653..e5d15f2 100644
--- a/ingestion.py
+++ b/ingestion.py
@@ -37,3 +37,7 @@ def ingest_docs() -> None:
 
 if __name__ == "__main__":
     ingest_docs()
+
+
+
+
diff --git a/main.py b/main.py
index e87d0e2..ca9d808 100644
--- a/main.py
+++ b/main.py
@@ -4,19 +4,6 @@
 import streamlit as st
 from streamlit_chat import message
 
-st.header("Langchain Doc Bot Helper")
-
-prompt = st.text_input("Prompt", placeholder="Enter your question here:")
-
-if "user_prompt_history" not in st.session_state:
-    st.session_state["user_prompt_history"] = []
-
-if "chat_answers_history" not in st.session_state:
-    st.session_state["chat_answers_history"] = []
-
-if "chat_history" not in st.session_state:
-    st.session_state["chat_history"] = []
-
 
 def create_sources_string(source_urls: Set[str]) -> str:
     if not source_urls:
@@ -29,24 +16,45 @@ def create_sources_string(source_urls: Set[str]) -> str:
     return sources_string
 
 
+st.header("LangChain🦜🔗 Udemy Course- Helper Bot")
+if (
+    "chat_answers_history" not in st.session_state
+    and "user_prompt_history" not in st.session_state
+    and "chat_history" not in st.session_state
+):
+    st.session_state["chat_answers_history"] = []
+    st.session_state["user_prompt_history"] = []
+    st.session_state["chat_history"] = []
+
+
+prompt = st.text_input("Prompt", placeholder="Enter your message here...") or st.button(
+    "Submit"
+)
 
 if prompt:
-    with st.spinner("Thinking..."):
-        generated_response = run_llm(query=prompt, chat_history=st.session_state["chat_history"])
+    with st.spinner("Generating response..."):
+        generated_response = run_llm(
+            query=prompt, chat_history=st.session_state["chat_history"]
+        )
+
         sources = set(
             [doc.metadata["source"] for doc in generated_response["source_documents"]]
         )
-
-        formated_response = (
+        formatted_response = (
             f"{generated_response['answer']} \n\n {create_sources_string(sources)}"
         )
 
-        st.session_state["user_prompt_history"].append(prompt)
-        st.session_state["chat_answers_history"].append(formated_response)
-        st.session_state["chat_history"].append((prompt, generated_response["answer"]))
+        st.session_state.chat_history.append((prompt, generated_response["answer"]))
+        st.session_state.user_prompt_history.append(prompt)
+        st.session_state.chat_answers_history.append(formatted_response)
 
 if st.session_state["chat_answers_history"]:
-    for generated_response, user_query in zip(st.session_state["chat_answers_history"], st.session_state["user_prompt_history"]):
-        message(user_query, is_user="True")
+    for generated_response, user_query in zip(
+        st.session_state["chat_answers_history"],
+        st.session_state["user_prompt_history"],
+    ):
+        message(
+            user_query,
+            is_user=True,
+        )
         message(generated_response)
-        
diff --git a/modules/youtubeloader.py b/modules/youtubeloader.py
index c600a1d..65b9094 100644
--- a/modules/youtubeloader.py
+++ b/modules/youtubeloader.py
@@ -1,4 +1,6 @@
+from dotenv import load_dotenv
 import os
+
 from langchain.document_loaders.generic import GenericLoader
 from langchain.document_loaders.parsers import OpenAIWhisperParser
 from langchain.document_loaders.blob_loaders.youtube_audio import YoutubeAudioLoader
@@ -9,7 +11,8 @@
 from langchain.embeddings import OpenAIEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 
-OPENAI_API_KEY=os.environ["OPENAI_API_KEY"]
+load_dotenv()
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 
 # Two Karpathy lecture videos
 #urls = ["https://youtu.be/kCc8FmEb1nY", "https://youtu.be/VMj-3S1tku0"]
@@ -19,17 +22,23 @@
 # Directory to save audio files
 save_dir = "/Users/maximeberthelot/Downloads/YouTube"
 
-# Transcribe the videos to text
-loader = GenericLoader(YoutubeAudioLoader(urls, save_dir), OpenAIWhisperParser())
-docs = loader.load()
-#print(docs)  # Add this line to check if the docs list is empty
+# Check if transcript file exists
+if os.path.exists(os.path.join(save_dir, "transcript.txt")):
+    with open(os.path.join(save_dir, "transcript.txt"), "r") as f:
+        text = f.read()
+else:
+    # Transcribe the videos to text
+    loader = GenericLoader(YoutubeAudioLoader(urls, save_dir), OpenAIWhisperParser(api_key=OPENAI_API_KEY))
+    docs = loader.load()
+    #print(docs)  # Add this line to check if the docs list is empty
 
-# Returns a list of Documents, which can be easily viewed or parsed
-docs[0].page_content[0:500]
+    # Combine doc
+    combined_docs = [doc.page_content for doc in docs]
+    text = " ".join(combined_docs)
 
-# Combine doc
-combined_docs = [doc.page_content for doc in docs]
-text = " ".join(combined_docs)
+    # Save transcript to file
+    with open(os.path.join(save_dir, "transcript.txt"), "w") as f:
+        f.write(text)
 
 # Split them
 text_splitter = RecursiveCharacterTextSplitter(chunk_size=1500, chunk_overlap=150)
@@ -49,4 +58,4 @@
 # Ask a question!
 query = "Why do we need to zero out the gradient before backprop at each step?"
 answer = qa_chain.run(query)
-print(answer)
+print(answer)
\ No newline at end of file

From 4d1f88b93410c72f68b6755d8e0a7e058186b233 Mon Sep 17 00:00:00 2001
From: Maxime Berthelot <maxime@buffer.com>
Date: Tue, 4 Jul 2023 22:49:28 +0200
Subject: [PATCH 12/12] added

---
 main.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/main.py b/main.py
index ca9d808..055426f 100644
--- a/main.py
+++ b/main.py
@@ -16,6 +16,9 @@ def create_sources_string(source_urls: Set[str]) -> str:
     return sources_string
 
 
+if "chat_answers_history" not in st.session_state:
+    st.session_state.chat_answers_history = []
+
 st.header("LangChain🦜🔗 Udemy Course- Helper Bot")
 if (
     "chat_answers_history" not in st.session_state