From 541267aadfb4aa569c757884b9104542d08914a5 Mon Sep 17 00:00:00 2001 From: jlcases Date: Sat, 19 Aug 2023 18:37:42 +0200 Subject: [PATCH 1/4] first commit --- actions/web_search.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) mode change 100644 => 100755 actions/web_search.py diff --git a/actions/web_search.py b/actions/web_search.py old mode 100644 new mode 100755 From 6f8d7a79c611d736f9af82846e782529a6e78f24 Mon Sep 17 00:00:00 2001 From: jlcases Date: Sat, 19 Aug 2023 19:40:25 +0200 Subject: [PATCH 2/4] adding lenguage selector feature --- .dockerignore | 0 .github/dependabot.yml | 0 .github/workflows/docker-bulid.yml | 0 .gitignore | 2 + CODE_OF_CONDUCT.md | 0 CONTRIBUTING.md | 0 Dockerfile | 42 +++++++++-- LICENSE | 0 actions/web_scrape.py | 0 agent/llm_utils.py | 0 agent/prompts.py | 66 +++++++++--------- agent/research_agent.py | 10 +-- agent/run.py | 5 +- client/index.html | 16 +++++ client/scripts.js | 4 +- client/static/academicResearchAgentAvatar.png | Bin client/static/businessAnalystAgentAvatar.png | Bin .../static/computerSecurityanalystAvatar.png | Bin client/static/defaultAgentAvatar.JPG | Bin client/static/favicon.ico | Bin client/static/financeAgentAvatar.png | Bin client/static/mathAgentAvatar.png | Bin client/static/travelAgentAvatar.png | Bin client/styles.css | 0 config/__init__.py | 0 config/config.py | 0 config/singleton.py | 0 docker-compose.yml | 2 +- js/overlay.js | 0 main.py | 5 +- processing/__init__.py | 0 processing/html.py | 0 processing/text.py | 0 requirements.txt | 0 34 files changed, 106 insertions(+), 46 deletions(-) mode change 100644 => 100755 .dockerignore mode change 100644 => 100755 .github/dependabot.yml mode change 100644 => 100755 .github/workflows/docker-bulid.yml mode change 100644 => 100755 .gitignore mode change 100644 => 100755 CODE_OF_CONDUCT.md mode change 100644 => 100755 CONTRIBUTING.md mode change 100644 => 100755 Dockerfile mode change 100644 => 100755 LICENSE mode change 100644 => 100755 actions/web_scrape.py mode change 100644 => 100755 agent/llm_utils.py mode change 100644 => 100755 agent/prompts.py mode change 100644 => 100755 agent/research_agent.py mode change 100644 => 100755 agent/run.py mode change 100644 => 100755 client/index.html mode change 100644 => 100755 client/scripts.js mode change 100644 => 100755 client/static/academicResearchAgentAvatar.png mode change 100644 => 100755 client/static/businessAnalystAgentAvatar.png mode change 100644 => 100755 client/static/computerSecurityanalystAvatar.png mode change 100644 => 100755 client/static/defaultAgentAvatar.JPG mode change 100644 => 100755 client/static/favicon.ico mode change 100644 => 100755 client/static/financeAgentAvatar.png mode change 100644 => 100755 client/static/mathAgentAvatar.png mode change 100644 => 100755 client/static/travelAgentAvatar.png mode change 100644 => 100755 client/styles.css mode change 100644 => 100755 config/__init__.py mode change 100644 => 100755 config/config.py mode change 100644 => 100755 config/singleton.py mode change 100644 => 100755 docker-compose.yml mode change 100644 => 100755 js/overlay.js mode change 100644 => 100755 main.py mode change 100644 => 100755 processing/__init__.py mode change 100644 => 100755 processing/html.py mode change 100644 => 100755 processing/text.py mode change 100644 => 100755 requirements.txt diff --git a/.dockerignore b/.dockerignore old mode 100644 new mode 100755 diff --git a/.github/dependabot.yml b/.github/dependabot.yml old mode 100644 new mode 100755 diff --git a/.github/workflows/docker-bulid.yml b/.github/workflows/docker-bulid.yml old mode 100644 new mode 100755 diff --git a/.gitignore b/.gitignore old mode 100644 new mode 100755 index 00544646a..62a9b4873 --- a/.gitignore +++ b/.gitignore @@ -2,7 +2,9 @@ .env #Ignore Virtual Env env/ +venv/ #Ignore generated outputs outputs/ #Ignore pycache **/__pycache__/ + diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md old mode 100644 new mode 100755 diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md old mode 100644 new mode 100755 diff --git a/Dockerfile b/Dockerfile old mode 100644 new mode 100755 index 19ae3c351..7003098fa --- a/Dockerfile +++ b/Dockerfile @@ -1,10 +1,38 @@ +# Usar la imagen base de Python FROM python:3.11.4-slim-bullseye as install-browser -RUN apt-get update \ - && apt-get satisfy -y \ - "chromium, chromium-driver (>= 115.0)" \ - && chromium --version && chromedriver --version - +# Actualizar e instalar dependencias necesarias +RUN apt-get update && apt-get install -y wget unzip +# Instalar las dependencias necesarias para WeasyPrint +RUN apt-get update && apt-get install -y \ + libglib2.0-0 \ + libcairo2 \ + libpango-1.0-0 \ + libpangocairo-1.0-0 \ + libgdk-pixbuf2.0-0 \ + libffi-dev \ + shared-mime-info + +# Descargar Chrome desde la URL específica +RUN wget https://www.slimjet.com/chrome/download-chrome.php?file=files%2F104.0.5112.102%2Fgoogle-chrome-stable_current_amd64.deb -O chrome.deb + +# Intentar instalar Chrome +RUN dpkg -i chrome.deb + +# Resolver dependencias +RUN apt-get -f install -y + +# Eliminar el archivo .deb de Chrome +RUN rm chrome.deb + +# Descargar e instalar ChromeDriver desde la URL específica +RUN wget https://chromedriver.storage.googleapis.com/104.0.5112.79/chromedriver_linux64.zip -O chromedriver.zip \ + && unzip chromedriver.zip \ + && mv chromedriver /usr/bin/chromedriver \ + && chown root:root /usr/bin/chromedriver \ + && chmod +x /usr/bin/chromedriver + +# Configurar el entorno de trabajo FROM install-browser as gpt-researcher-install ENV PIP_ROOT_USER_ACTION=ignore @@ -12,9 +40,11 @@ ENV PIP_ROOT_USER_ACTION=ignore RUN mkdir /usr/src/app WORKDIR /usr/src/app +# Copiar y instalar las dependencias COPY ./requirements.txt ./requirements.txt RUN pip install -r requirements.txt +# Configurar el usuario y permisos FROM gpt-researcher-install AS gpt-researcher RUN useradd -ms /bin/bash gpt-researcher \ @@ -22,8 +52,10 @@ RUN useradd -ms /bin/bash gpt-researcher \ USER gpt-researcher +# Copiar el resto de los archivos y configurar el comando de inicio COPY ./ ./ EXPOSE 8000 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"] + diff --git a/LICENSE b/LICENSE old mode 100644 new mode 100755 diff --git a/actions/web_scrape.py b/actions/web_scrape.py old mode 100644 new mode 100755 diff --git a/agent/llm_utils.py b/agent/llm_utils.py old mode 100644 new mode 100755 diff --git a/agent/prompts.py b/agent/prompts.py old mode 100644 new mode 100755 index 3913fd1ba..65ba9e223 --- a/agent/prompts.py +++ b/agent/prompts.py @@ -1,18 +1,22 @@ -def generate_agent_role_prompt(agent): +def generate_agent_role_prompt(agent, language): """ Generates the agent role prompt. - Args: agent (str): The type of the agent. - Returns: str: The agent role prompt. + Args: + agent (str): The type of the agent. + language (str): The language in which the answers should be provided. + Returns: + str: The agent role prompt. """ prompts = { - "Finance Agent": "You are a seasoned finance analyst AI assistant. Your primary goal is to compose comprehensive, astute, impartial, and methodically arranged financial reports based on provided data and trends.", - "Travel Agent": "You are a world-travelled AI tour guide assistant. Your main purpose is to draft engaging, insightful, unbiased, and well-structured travel reports on given locations, including history, attractions, and cultural insights.", - "Academic Research Agent": "You are an AI academic research assistant. Your primary responsibility is to create thorough, academically rigorous, unbiased, and systematically organized reports on a given research topic, following the standards of scholarly work.", - "Business Analyst": "You are an experienced AI business analyst assistant. Your main objective is to produce comprehensive, insightful, impartial, and systematically structured business reports based on provided business data, market trends, and strategic analysis.", - "Computer Security Analyst Agent": "You are an AI specializing in computer security analysis. Your principal duty is to generate comprehensive, meticulously detailed, impartial, and systematically structured reports on computer security topics. This includes Exploits, Techniques, Threat Actors, and Advanced Persistent Threat (APT) Groups. All produced reports should adhere to the highest standards of scholarly work and provide in-depth insights into the complexities of computer security.", - "Default Agent": "You are an AI critical thinker research assistant. Your sole purpose is to write well written, critically acclaimed, objective and structured reports on given text." + "Finance Agent": f"You are a seasoned finance analyst AI assistant. Your primary goal is to compose comprehensive, astute, impartial, and methodically arranged financial reports based on provided data and trends. All answers must be in {language}.", + "Travel Agent": f"You are a world-travelled AI tour guide assistant. Your main purpose is to draft engaging, insightful, unbiased, and well-structured travel reports on given locations, including history, attractions, and cultural insights. All answers must be in {language}.", + "Academic Research Agent": f"You are an AI academic research assistant. Your primary responsibility is to create thorough, academically rigorous, unbiased, and systematically organized reports on a given research topic, following the standards of scholarly work. All answers must be in {language}.", + "Business Analyst": f"You are an experienced AI business analyst assistant. Your main objective is to produce comprehensive, insightful, impartial, and systematically structured business reports based on provided business data, market trends, and strategic analysis. All answers must be in {language}.", + "Computer Security Analyst Agent": f"You are an AI specializing in computer security analysis. Your principal duty is to generate comprehensive, meticulously detailed, impartial, and systematically structured reports on computer security topics. This includes Exploits, Techniques, Threat Actors, and Advanced Persistent Threat (APT) Groups. All produced reports should adhere to the highest standards of scholarly work and provide in-depth insights into the complexities of computer security. All answers must be in {language}.", + "Default Agent": f"You are an AI critical thinker research assistant. Your sole purpose is to write well written, critically acclaimed, objective and structured reports on given text. All answers must be in {language}." } - return prompts.get(agent, "No such agent") + return prompts.get(agent, f"No such agent. All answers must be in {language}.") + def generate_report_prompt(question, research_summary): @@ -22,7 +26,7 @@ def generate_report_prompt(question, research_summary): Returns: str: The report prompt for the given question and research summary """ - return f'"""{research_summary}""" Using the above information, answer the following'\ + return f'"""{research_summary}""" Using the above information, answer the following'\ f' question or topic: "{question}" in a detailed report --'\ " The report should focus on the answer to the question, should be well structured, informative," \ " in depth, with facts and numbers if available, a minimum of 1,200 words and with markdown syntax and apa format. "\ @@ -41,22 +45,20 @@ def generate_search_queries_prompt(question): def generate_resource_report_prompt(question, research_summary): """Generates the resource report prompt for the given question and research summary. - Args: question (str): The question to generate the resource report prompt for. research_summary (str): The research summary to generate the resource report prompt for. - Returns: str: The resource report prompt for the given question and research summary. """ - return f'"""{research_summary}""" Based on the above information, generate a bibliography recommendation report for the following' \ - f' question or topic: "{question}". The report should provide a detailed analysis of each recommended resource,' \ - ' explaining how each source can contribute to finding answers to the research question.' \ - ' Focus on the relevance, reliability, and significance of each source.' \ - ' Ensure that the report is well-structured, informative, in-depth, and follows Markdown syntax.' \ - ' Include relevant facts, figures, and numbers whenever available.' \ - ' The report should have a minimum length of 1,200 words.' - + return (f'"""{research_summary}""" Based on the above information, generate ' + ' a bibliography recommendation report for the following' + f' question or topic: "{question}". The report should provide a detailed analysis of each recommended resource,' + ' explaining how each source can contribute to finding answers to the research question.' + ' Focus on the relevance, reliability, and significance of each source.' + ' Ensure that the report is well-structured, informative, in-depth, and follows Markdown syntax.' + ' Include relevant facts, figures, and numbers whenever available.' + ' The report should have a minimum length of 1,200 words.') def generate_outline_report_prompt(question, research_summary): """ Generates the outline report prompt for the given question and research summary. @@ -64,12 +66,12 @@ def generate_outline_report_prompt(question, research_summary): research_summary (str): The research summary to generate the outline report prompt for Returns: str: The outline report prompt for the given question and research summary """ - - return f'"""{research_summary}""" Using the above information, generate an outline for a research report in Markdown syntax'\ - f' for the following question or topic: "{question}". The outline should provide a well-structured framework'\ - ' for the research report, including the main sections, subsections, and key points to be covered.' \ - ' The research report should be detailed, informative, in-depth, and a minimum of 1,200 words.' \ - ' Use appropriate Markdown syntax to format the outline and ensure readability.' + return (f'"""{research_summary}""" Using the above information, generate ' + 'an outline for a research report in Markdown syntax' + f' for the following question or topic: "{question}". The outline should provide a well-structured framework' + ' for the research report, including the main sections, subsections, and key points to be covered.' + ' The research report should be detailed, informative, in-depth, and a minimum of 1,200 words.' + ' Use appropriate Markdown syntax to format the outline and ensure readability.') def generate_concepts_prompt(question, research_summary): """ Generates the concepts prompt for the given question. @@ -77,10 +79,10 @@ def generate_concepts_prompt(question, research_summary): research_summary (str): The research summary to generate the concepts prompt for Returns: str: The concepts prompt for the given question """ - - return f'"""{research_summary}""" Using the above information, generate a list of 5 main concepts to learn for a research report'\ - f' on the following question or topic: "{question}". The outline should provide a well-structured framework'\ - 'You must respond with a list of strings in the following format: ["concepts 1", "concepts 2", "concepts 3", "concepts 4, concepts 5"]' + return (f'"""{research_summary}""" Using the above information, generate ' + ' a list of 5 main concepts to learn for a research report' + f' on the following question or topic: "{question}". The outline should provide a well-structured framework' + 'You must respond with a list of strings in the following format: ["concepts 1", "concepts 2", "concepts 3", "concepts 4, concepts 5"]') def generate_lesson_prompt(concept): @@ -92,7 +94,7 @@ def generate_lesson_prompt(concept): str: The lesson prompt for the given concept. """ - prompt = f'generate a comprehensive lesson about {concept} in Markdown syntax. This should include the definition'\ + prompt = f'generate a comprehensive lesson about {concept} in Markdown syntax. This should include the definition'\ f'of {concept}, its historical background and development, its applications or uses in different'\ f'fields, and notable events or facts related to {concept}.' diff --git a/agent/research_agent.py b/agent/research_agent.py old mode 100644 new mode 100755 index 9c0d95f16..af960ca3d --- a/agent/research_agent.py +++ b/agent/research_agent.py @@ -23,7 +23,7 @@ class ResearchAgent: - def __init__(self, question, agent, agent_role_prompt, websocket): + def __init__(self, question, agent, agent_role_prompt, language, websocket): """ Initializes the research assistant with the given question. Args: question (str): The question to research Returns: None @@ -31,7 +31,8 @@ def __init__(self, question, agent, agent_role_prompt, websocket): self.question = question self.agent = agent - self.agent_role_prompt = agent_role_prompt if agent_role_prompt else prompts.generate_agent_role_prompt(agent) + self.language = language # New field for language + self.agent_role_prompt = agent_role_prompt if agent_role_prompt else prompts.generate_agent_role_prompt(agent, self.language) self.visited_urls = set() self.research_summary = "" self.directory_name = uuid.uuid4() @@ -54,6 +55,7 @@ async def summarize(self, text, topic): messages=messages, ) + async def get_new_urls(self, url_set_input): """ Gets the new urls from the given url set. Args: url_set_input (set[str]): The url set to get the new urls from @@ -90,7 +92,7 @@ async def create_search_queries(self): Args: None Returns: list[str]: The search queries for the given question """ - result = await self.call_agent(prompts.generate_search_queries_prompt(self.question)) + result = await self.call_agent(prompts.generate_search_queries_prompt(self.question, self.language)) print(result) await self.websocket.send_json({"type": "logs", "output": f"🧠 I will conduct my research based on the following queries: {result}..."}) return json.loads(result) @@ -154,7 +156,7 @@ async def create_concepts(self): Args: None Returns: list[str]: The concepts for the given question """ - result = self.call_agent(prompts.generate_concepts_prompt(self.question, self.research_summary)) + result = self.call_agent(prompts.generate_concepts_prompt(self.question, self.research_summary, self.language)) await self.websocket.send_json({"type": "logs", "output": f"I will research based on the following concepts: {result}\n"}) return json.loads(result) diff --git a/agent/run.py b/agent/run.py old mode 100644 new mode 100755 index 51eba2fb7..af3bae706 --- a/agent/run.py +++ b/agent/run.py @@ -39,16 +39,17 @@ async def start_streaming(self, task, report_type, agent, agent_role_prompt, web return report, path -async def run_agent(task, report_type, agent, agent_role_prompt, websocket): +async def run_agent(task, report_type, agent, agent_role_prompt, language, websocket): # New field for language check_openai_api_key() start_time = datetime.datetime.now() # await websocket.send_json({"type": "logs", "output": f"Start time: {str(start_time)}\n\n"}) - assistant = ResearchAgent(task, agent, agent_role_prompt, websocket) + assistant = ResearchAgent(task, agent, agent_role_prompt, language, websocket) # Pasar el idioma al constructor del agente await assistant.conduct_research() + report, path = await assistant.write_report(report_type, websocket) await websocket.send_json({"type": "path", "output": path}) diff --git a/client/index.html b/client/index.html old mode 100644 new mode 100755 index 26eed9a34..b45d2d308 --- a/client/index.html +++ b/client/index.html @@ -81,6 +81,22 @@

+
+ + +
+ diff --git a/client/scripts.js b/client/scripts.js old mode 100644 new mode 100755 index 780a83e82..2a8aee1e5 --- a/client/scripts.js +++ b/client/scripts.js @@ -29,11 +29,13 @@ const GPTResearcher = (() => { const task = document.querySelector('input[name="task"]').value; const report_type = document.querySelector('select[name="report_type"]').value; const agent = document.querySelector('input[name="agent"]:checked').value; - + const language = document.getElementById("language").value; // get language from dropdown + const requestData = { task: task, report_type: report_type, agent: agent, + language: language // add language to request data }; socket.send(`start ${JSON.stringify(requestData)}`); diff --git a/client/static/academicResearchAgentAvatar.png b/client/static/academicResearchAgentAvatar.png old mode 100644 new mode 100755 diff --git a/client/static/businessAnalystAgentAvatar.png b/client/static/businessAnalystAgentAvatar.png old mode 100644 new mode 100755 diff --git a/client/static/computerSecurityanalystAvatar.png b/client/static/computerSecurityanalystAvatar.png old mode 100644 new mode 100755 diff --git a/client/static/defaultAgentAvatar.JPG b/client/static/defaultAgentAvatar.JPG old mode 100644 new mode 100755 diff --git a/client/static/favicon.ico b/client/static/favicon.ico old mode 100644 new mode 100755 diff --git a/client/static/financeAgentAvatar.png b/client/static/financeAgentAvatar.png old mode 100644 new mode 100755 diff --git a/client/static/mathAgentAvatar.png b/client/static/mathAgentAvatar.png old mode 100644 new mode 100755 diff --git a/client/static/travelAgentAvatar.png b/client/static/travelAgentAvatar.png old mode 100644 new mode 100755 diff --git a/client/styles.css b/client/styles.css old mode 100644 new mode 100755 diff --git a/config/__init__.py b/config/__init__.py old mode 100644 new mode 100755 diff --git a/config/config.py b/config/config.py old mode 100644 new mode 100755 diff --git a/config/singleton.py b/config/singleton.py old mode 100644 new mode 100755 diff --git a/docker-compose.yml b/docker-compose.yml old mode 100644 new mode 100755 index 05c9ec150..b9c21629c --- a/docker-compose.yml +++ b/docker-compose.yml @@ -6,4 +6,4 @@ services: environment: OPENAI_API_KEY: ${OPENAI_API_KEY} ports: - - 8000:8000 \ No newline at end of file + - 9000:8000 \ No newline at end of file diff --git a/js/overlay.js b/js/overlay.js old mode 100644 new mode 100755 diff --git a/main.py b/main.py old mode 100644 new mode 100755 index c418ccd20..08cf4f9ad --- a/main.py +++ b/main.py @@ -13,6 +13,8 @@ class ResearchRequest(BaseModel): task: str report_type: str agent: str + language: str # New fiedl for language + @@ -47,6 +49,7 @@ async def websocket_endpoint(websocket: WebSocket): task = json_data.get("task") report_type = json_data.get("report_type") agent = json_data.get("agent") + language = json_data.get("language") # New field for language # temporary so "normal agents" can still be used and not just auto generated, will be removed when we move to auto generated if agent == "Auto Agent": agent_dict = choose_agent(task) @@ -57,7 +60,7 @@ async def websocket_endpoint(websocket: WebSocket): await websocket.send_json({"type": "logs", "output": f"Initiated an Agent: {agent}"}) if task and report_type and agent: - await manager.start_streaming(task, report_type, agent, agent_role_prompt, websocket) + await manager.start_streaming(task, report_type, agent, agent_role_prompt, language, websocket) # New field for language else: print("Error: not enough parameters provided.") diff --git a/processing/__init__.py b/processing/__init__.py old mode 100644 new mode 100755 diff --git a/processing/html.py b/processing/html.py old mode 100644 new mode 100755 diff --git a/processing/text.py b/processing/text.py old mode 100644 new mode 100755 diff --git a/requirements.txt b/requirements.txt old mode 100644 new mode 100755 From a7c2dc307f833ddd0b238491a917c7f0ab9fae82 Mon Sep 17 00:00:00 2001 From: jlcases Date: Sat, 19 Aug 2023 20:24:34 +0200 Subject: [PATCH 3/4] wip lenguage feature --- agent/prompts.py | 32 +++++++----------- agent/research_agent.py | 2 +- agent/run.py | 4 +-- main.py | 2 +- ...-youth-play-recommendations.pdf.crdownload | Bin 0 -> 68612 bytes 5 files changed, 17 insertions(+), 23 deletions(-) create mode 100644 usa-football-youth-play-recommendations.pdf.crdownload diff --git a/agent/prompts.py b/agent/prompts.py index 65ba9e223..31d07d336 100755 --- a/agent/prompts.py +++ b/agent/prompts.py @@ -19,40 +19,33 @@ def generate_agent_role_prompt(agent, language): -def generate_report_prompt(question, research_summary): +def generate_report_prompt(question, research_summary,language): """ Generates the report prompt for the given question and research summary. Args: question (str): The question to generate the report prompt for research_summary (str): The research summary to generate the report prompt for Returns: str: The report prompt for the given question and research summary """ - return f'"""{research_summary}""" Using the above information, answer the following'\ + return f'"""{research_summary}""" Using the above information, answer in "{language}" the following'\ f' question or topic: "{question}" in a detailed report --'\ " The report should focus on the answer to the question, should be well structured, informative," \ " in depth, with facts and numbers if available, a minimum of 1,200 words and with markdown syntax and apa format. "\ "You MUST determine your own concrete and valid opinion based on the given information. Do NOT deter to general and meaningless conclusions." \ "Write all used source urls at the end of the report in apa format" -def generate_search_queries_prompt(question): +def generate_search_queries_prompt(question,language): """ Generates the search queries prompt for the given question. Args: question (str): The question to generate the search queries prompt for Returns: str: The search queries prompt for the given question """ - return f'Write 4 google search queries to search online that form an objective opinion from the following: "{question}"'\ + return f'Write 4 google search queries in English and 4 in {language} to search online that form an objective opinion from the following: "{question}"'\ f'You must respond with a list of strings in the following format: ["query 1", "query 2", "query 3", "query 4"]' -def generate_resource_report_prompt(question, research_summary): - """Generates the resource report prompt for the given question and research summary. - Args: - question (str): The question to generate the resource report prompt for. - research_summary (str): The research summary to generate the resource report prompt for. - Returns: - str: The resource report prompt for the given question and research summary. - """ +def generate_resource_report_prompt(question, research_summary, language): return (f'"""{research_summary}""" Based on the above information, generate ' - ' a bibliography recommendation report for the following' + f'in {language} a bibliography recommendation report for the following' f' question or topic: "{question}". The report should provide a detailed analysis of each recommended resource,' ' explaining how each source can contribute to finding answers to the research question.' ' Focus on the relevance, reliability, and significance of each source.' @@ -60,32 +53,33 @@ def generate_resource_report_prompt(question, research_summary): ' Include relevant facts, figures, and numbers whenever available.' ' The report should have a minimum length of 1,200 words.') -def generate_outline_report_prompt(question, research_summary): + +def generate_outline_report_prompt(question, research_summary,language): """ Generates the outline report prompt for the given question and research summary. Args: question (str): The question to generate the outline report prompt for research_summary (str): The research summary to generate the outline report prompt for Returns: str: The outline report prompt for the given question and research summary """ return (f'"""{research_summary}""" Using the above information, generate ' - 'an outline for a research report in Markdown syntax' + 'an outline in {language} for a research report in Markdown syntax' f' for the following question or topic: "{question}". The outline should provide a well-structured framework' ' for the research report, including the main sections, subsections, and key points to be covered.' ' The research report should be detailed, informative, in-depth, and a minimum of 1,200 words.' ' Use appropriate Markdown syntax to format the outline and ensure readability.') -def generate_concepts_prompt(question, research_summary): +def generate_concepts_prompt(question, research_summary,language): """ Generates the concepts prompt for the given question. Args: question (str): The question to generate the concepts prompt for research_summary (str): The research summary to generate the concepts prompt for Returns: str: The concepts prompt for the given question """ - return (f'"""{research_summary}""" Using the above information, generate ' + return (f'"""{research_summary}""" Using the above information, generate in {language}, ' ' a list of 5 main concepts to learn for a research report' f' on the following question or topic: "{question}". The outline should provide a well-structured framework' 'You must respond with a list of strings in the following format: ["concepts 1", "concepts 2", "concepts 3", "concepts 4, concepts 5"]') -def generate_lesson_prompt(concept): +def generate_lesson_prompt(concept,language): """ Generates the lesson prompt for the given question. Args: @@ -94,7 +88,7 @@ def generate_lesson_prompt(concept): str: The lesson prompt for the given concept. """ - prompt = f'generate a comprehensive lesson about {concept} in Markdown syntax. This should include the definition'\ + prompt = f'generate a comprehensive lesson in {language} about {concept} in Markdown syntax. This should include the definition'\ f'of {concept}, its historical background and development, its applications or uses in different'\ f'fields, and notable events or facts related to {concept}.' diff --git a/agent/research_agent.py b/agent/research_agent.py index af960ca3d..3a51a1179 100755 --- a/agent/research_agent.py +++ b/agent/research_agent.py @@ -92,7 +92,7 @@ async def create_search_queries(self): Args: None Returns: list[str]: The search queries for the given question """ - result = await self.call_agent(prompts.generate_search_queries_prompt(self.question, self.language)) + result = await self.call_agent(prompts.generate_search_queries_prompt(self.question,self.language)) print(result) await self.websocket.send_json({"type": "logs", "output": f"🧠 I will conduct my research based on the following queries: {result}..."}) return json.loads(result) diff --git a/agent/run.py b/agent/run.py index af3bae706..8817dfa20 100755 --- a/agent/run.py +++ b/agent/run.py @@ -34,8 +34,8 @@ async def disconnect(self, websocket: WebSocket): del self.sender_tasks[websocket] del self.message_queues[websocket] - async def start_streaming(self, task, report_type, agent, agent_role_prompt, websocket): - report, path = await run_agent(task, report_type, agent, agent_role_prompt, websocket) + async def start_streaming(self, task, report_type, agent, agent_role_prompt, language, websocket): + report, path = await run_agent(task, report_type, agent, agent_role_prompt,language,websocket) return report, path diff --git a/main.py b/main.py index 08cf4f9ad..624f142eb 100755 --- a/main.py +++ b/main.py @@ -60,7 +60,7 @@ async def websocket_endpoint(websocket: WebSocket): await websocket.send_json({"type": "logs", "output": f"Initiated an Agent: {agent}"}) if task and report_type and agent: - await manager.start_streaming(task, report_type, agent, agent_role_prompt, language, websocket) # New field for language + await manager.start_streaming(task, report_type, agent, agent_role_prompt, language, websocket) # New field for language else: print("Error: not enough parameters provided.") diff --git a/usa-football-youth-play-recommendations.pdf.crdownload b/usa-football-youth-play-recommendations.pdf.crdownload new file mode 100644 index 0000000000000000000000000000000000000000..6b656b740d8e1fbcd0f1eb63063b3909be3988b3 GIT binary patch literal 68612 zcma&N19)Z2wkRBTY@=gi#kOtRww;b`cbs&Lj+2g!j&0kv{`5ZQzPr!+_j~uP@2fSd z=B%n&gEeZ5F-hfxMQIu6Sm8*wcP3`wpcxrh2=?1PlOa z0#;^Lc6LU9904N(8$g7Bg_(toffXQ2zzk6S^Ng8;2_R0OMZm(uK)}e(pu@`xXJTvo zXDWif|32Tr%<$ju5H>NgGd7VoaI|sye4~(^wTq3d69EfA-qFO^!pPaqk${1bmlq&v zVeM?<2oSY4a5nkZ5P*cR7B@Sa024in5HqW=Fb9V)Gc$*vC_B3VvoNEOpa2^y8yhdT zuqX#38-pkZD~k{VlOQuYhp4bHE3+^g0~3=F1B);luMR-M*4V^d>ks72%zs*@cApS3 ze=boGAZ=o6=4}4C1cpBga{U*W%m76@JLk_ntbg@U`a}=`BMS#W*~8uhpsr|Q3Q*Hx zAYdZ+g90aKM-u}ZIB4^ALqlVIM16fjef<>RcvvQWk{K$*;ol%c93WjpD*_}1WNCO{ zL>gUG8j{_fM%~+j`bcQi;$&%Su%_kychG@DBrb@QA2`BPZy@oj3IvKI*ao}@5Cp?C zwXovvJ{e=M`w3O6H_>7 zdN^oOQV}^(IOzW((I+6H$&%su} 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zotd<&$r~EzR!UQU)VwmqIp?iBK6>`WmcKa z>au~*V8LIYBMVxx_E2AF+AR1tCZ$L5CkOTy>p{z)=d6j~*HnyzV%lSbR;~ofW;w-V lJ%M(LoI#XuC-0r<0a@`JG*_8v?+x(I!*z}Fd;fyC{tvQ`;c@@~ literal 0 HcmV?d00001 diff --git a/agent/prompts.py b/agent/prompts.py index 31d07d336..1d7d29970 100755 --- a/agent/prompts.py +++ b/agent/prompts.py @@ -33,14 +33,13 @@ def generate_report_prompt(question, research_summary,language): "You MUST determine your own concrete and valid opinion based on the given information. Do NOT deter to general and meaningless conclusions." \ "Write all used source urls at the end of the report in apa format" -def generate_search_queries_prompt(question,language): +def generate_search_queries_prompt(question, language): """ Generates the search queries prompt for the given question. Args: question (str): The question to generate the search queries prompt for Returns: str: The search queries prompt for the given question """ - return f'Write 4 google search queries in English and 4 in {language} to search online that form an objective opinion from the following: "{question}"'\ - f'You must respond with a list of strings in the following format: ["query 1", "query 2", "query 3", "query 4"]' + return f'For the topic "{question}", list 4 search queries in English and 4 in {language}.' def generate_resource_report_prompt(question, research_summary, language): diff --git a/agent/research_agent.py b/agent/research_agent.py index 3a51a1179..055f1b86f 100755 --- a/agent/research_agent.py +++ b/agent/research_agent.py @@ -93,9 +93,22 @@ async def create_search_queries(self): Returns: list[str]: The search queries for the given question """ result = await self.call_agent(prompts.generate_search_queries_prompt(self.question,self.language)) - print(result) - await self.websocket.send_json({"type": "logs", "output": f"🧠 I will conduct my research based on the following queries: {result}..."}) - return json.loads(result) + + # Procesar el resultado para extraer las consultas individuales + lines = result.split('\n') # Divide la cadena en líneas individuales + queries = [] + + for line in lines: + # Busca las comillas en cada línea para extraer la consulta + start = line.find('"') + end = line.rfind('"') + if start != -1 and end != -1: + queries.append(line[start+1:end]) + + await self.websocket.send_json({"type": "logs", "output": f"🧠 I will conduct my research based on the following queries: {queries}..."}) + + return queries + async def async_search(self, query): """ Runs the async search for the given query. @@ -159,6 +172,7 @@ async def create_concepts(self): result = self.call_agent(prompts.generate_concepts_prompt(self.question, self.research_summary, self.language)) await self.websocket.send_json({"type": "logs", "output": f"I will research based on the following concepts: {result}\n"}) + return json.loads(result) async def write_report(self, report_type, websocket): @@ -169,8 +183,8 @@ async def write_report(self, report_type, websocket): report_type_func = prompts.get_report_by_type(report_type) await websocket.send_json( {"type": "logs", "output": f"✍️ Writing {report_type} for research task: {self.question}..."}) - answer = await self.call_agent(report_type_func(self.question, self.research_summary), stream=True, - websocket=websocket) + answer = await self.call_agent(report_type_func(self.question, self.research_summary, self.language), stream=True, websocket=websocket) + path = await write_md_to_pdf(report_type, self.directory_name, await answer)