From cf7dbe01c0ead9a42a00386dab4f2cc6ab2dcb9b Mon Sep 17 00:00:00 2001 From: Carson Lam Date: Thu, 14 Mar 2024 22:04:30 +0100 Subject: [PATCH] update llava demo (#6) * update llava demo * update llava demo * update llava demo --------- Co-authored-by: Carson Lam --- notebooks/LLaVA_Demo.ipynb | 237 +++++++++++++++++++++------------ notebooks/beachcity.png | Bin 0 -> 217009 bytes notebooks/nightcity_medium.png | Bin 0 -> 350859 bytes 3 files changed, 153 insertions(+), 84 deletions(-) create mode 100644 notebooks/beachcity.png create mode 100644 notebooks/nightcity_medium.png diff --git a/notebooks/LLaVA_Demo.ipynb b/notebooks/LLaVA_Demo.ipynb index bfaffe7..430fce2 100644 --- a/notebooks/LLaVA_Demo.ipynb +++ b/notebooks/LLaVA_Demo.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 28, + "execution_count": 2, "id": "1e389c96-2623-456f-89ae-e2cf3843c102", "metadata": {}, "outputs": [ @@ -22,114 +22,107 @@ "%autoreload 2\n", "\n", "import os\n", - "import base64\n", - " \n", - "import requests\n", - "from IPython.display import display, HTML\n", - "\n", "\n", "from dotenv import load_dotenv\n", "load_dotenv() # take environment variables from .env.\n", "\n", - "def display_base64_image(base64_string):\n", - " image_html = f''\n", - " display(HTML(image_html))\n", - "\n", "TOGETHER_API_KEY = os.environ.get(\"TOGETHER_API_KEY\")\n", "\n", - "print(f\"using TOGETHER_API_KEY ending in {TOGETHER_API_KEY[-4:]}\")" + "print(f\"using TOGETHER_API_KEY ending in {TOGETHER_API_KEY[-4:]}\")\n", + "\n", + "def display_base64_image(image_string, image_string_type = \"base64_string\"):\n", + " \n", + " from IPython.display import display, HTML, Image\n", + " \n", + " if image_string_type == \"base64_string\":\n", + " image_html = f''\n", + " display(HTML(image_html))\n", + " \n", + " elif image_string_type == \"url\":\n", + " display(Image(url=image_string))\n" ] }, { "cell_type": "code", - "execution_count": 29, - "id": "ddb7152b-568d-4b8e-b1e1-ad06e0978293", + "execution_count": 22, + "id": "46883045-028b-4911-833b-8028b39b5bce", "metadata": {}, "outputs": [ { "data": { "text/html": [ - "" + "" ], "text/plain": [ - "" + "" ] }, "metadata": {}, "output_type": "display_data" - } - ], - "source": [ - "binary_fc = open('beachdaycity.png', 'rb').read() # fc aka file_content\n", - "image1_base64_utf8_str = base64.b64encode(binary_fc).decode('utf-8')\n", - "display_base64_image(image1_base64_utf8_str)" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "4239c6db-d63f-434a-9d56-210c1a98c4a6", - "metadata": {}, - "outputs": [ + }, { "name": "stdout", "output_type": "stream", "text": [ - "200\n", - "Yes, you should wear sunscreen at this beach, as it is located near a city and is likely to be a popular spot for beachgoers. The presence of many people and umbrellas in the image suggests that it is a busy beach, and the sun can be quite strong, especially during peak hours. Wearing sunscreen will help protect your skin from harmful UV rays and reduce the risk of sunburn, ensuring a safe and enjoyable beach experience.\n" + " The image features two cats lying on a red couch. The left cat is looking at the right cat, who is looking down with its eyes closed. To the left of the cats, there is a remote control beside the couch. The couch is covered with a pink bedding that includes a blanket. The cats appear to be relaxed and comfortable, and they dominate most of the space in the image. \n" ] } ], "source": [ - "url = 'https://api.together.xyz/api/inference/'\n", + "import httpx\n", "\n", - "pre_prompt = \"A chat between a curious human and an artificial intelligence assistant. \"+\\\n", - "\"The assistant gives helpful, detailed, and polite answers to the human's questions. \"+\\\n", - "\"The assistant says they are unsure when the answer is uncertain. \"\n", + "model_id = \"liuhaotian/llava-v1.6-mistral-7b\"\n", "\n", - "user_utterance = \"Do I need to wear sunscreen here?\"\n", + "url = 'https://api.together.xyz/v1/completions'\n", + "\n", + "pre_prompt = \"\"\"\n", + "A chat between a human and an AI assistant. \n", + "The assistant says \"I am unsure\" when the answer is uncertain and\n", + "gives helpful, detailed, polite answers to the human's questions\n", + "\"\"\"\n", + "\n", + "user_utterance = \"What is in this image?\"\n", "\n", "prompt = pre_prompt + f\"USER:\\n\\n{user_utterance}ASSISTANT:\"\n", "\n", + "image_url = \"http://images.cocodataset.org/val2017/000000039769.jpg\"\n", + "\n", + "display_base64_image(image_url, image_string_type = \"url\")\n", + "\n", "headers = {\n", " \"Authorization\": f\"Bearer {TOGETHER_API_KEY}\",\n", " \"accept\": \"application/json\",\n", " \"content-type\": \"application/json\"\n", "}\n", "\n", - "result = requests.post(\n", - " url, \n", - " headers = headers,\n", - " json = {\n", - " \"model\": \"liuhaotian/llava-v1.5-13b\",\n", - " \"prompt\": prompt, \n", - " \"image_base64\": [image1_base64_utf8_str],\n", - " \"seed\": 42, \n", - " },\n", - ")\n", - "\n", - "\n", - "print(result.status_code)\n", + "with httpx.Client() as client:\n", + " result = client.post(\n", + " url, \n", + " headers=headers,\n", + " json={\n", + " \"model\": model_id,\n", + " \"prompt\": prompt, \n", + " \"image_data\": image_url,\n", + " \"max_tokens\": 256,\n", + " },\n", + " )\n", "\n", "if result.status_code == 200:\n", - " if 'outputs' in result.json():\n", - " response1 = result.json()['outputs']\n", - " elif 'output' in result.json():\n", - " response1 = result.json()['output']['outputs']\n", - "\n", - " print(response1)" + " print(result.json()['choices'][0]['text'])\n", + "else:\n", + " print(result.status_code)" ] }, { "cell_type": "code", - "execution_count": 30, - "id": "5185501b-c37f-43a9-a413-3f1ed105c689", + "execution_count": 34, + "id": "ec55b599-a3b9-4c87-9645-caa80b2bd029", "metadata": {}, "outputs": [ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -137,36 +130,105 @@ }, "metadata": {}, "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "The picture appears to show a coastal cityscape, with a beach next to a skyline of high-rise buildings. Given the clear sky and time of day, it's likely a sunny day, in which case it would be advisable to wear sunscreen to protect your skin from harmful UV rays. The exact level of protection would depend on the intensity of the sun and your personal skin sensitivity, but generally speaking, it's a good practice to apply sunscreen with SPF 30 or higher when spending time outdoors during sunny days. \n" + ] } ], "source": [ - "binary_fc = open('nightcity.png', 'rb').read() # fc aka file_content\n", - "image2_base64_utf8_str = base64.b64encode(binary_fc).decode('utf-8')\n", - "display_base64_image(image2_base64_utf8_str)" + "import httpx\n", + "import base64\n", + "\n", + "model_id = \"liuhaotian/llava-v1.6-mistral-7b\"\n", + "\n", + "url = 'https://api.together.xyz/v1/completions'\n", + "\n", + "pre_prompt = \"\"\"\n", + "A chat between a human and an AI assistant. \n", + "The assistant says \"I am unsure\" when the answer is uncertain and\n", + "gives helpful, detailed, polite answers to the human's questions\n", + "\"\"\"\n", + "\n", + "user_utterance = \"What is this picture and do I need to wear sunscreen here?\"\n", + "\n", + "prompt = pre_prompt + f\"USER:\\n\\n{user_utterance}ASSISTANT:\"\n", + "\n", + "binary_file_content = open('beachdaycity.png', 'rb').read() \n", + "image1_base64_utf8_str = base64.b64encode(binary_file_content).decode('utf-8')\n", + "\n", + "display_base64_image(image1_base64_utf8_str)\n", + "\n", + "headers = {\n", + " \"Authorization\": f\"Bearer {TOGETHER_API_KEY}\",\n", + " \"accept\": \"application/json\",\n", + " \"content-type\": \"application/json\"\n", + "}\n", + "\n", + "with httpx.Client(timeout=200) as client:\n", + " result = client.post(\n", + " url, \n", + " headers=headers,\n", + " json={\n", + " \"model\": model_id,\n", + " \"prompt\": prompt, \n", + " \"image_data\": f'data:image/jpeg;base64,{image1_base64_utf8_str}',\n", + " \"max_tokens\": 128,\n", + " },\n", + " )\n", + "\n", + "if result.status_code == 200:\n", + " print(result.json()['choices'][0]['text'])\n", + "else:\n", + " print(result.status_code)" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 52, "id": "7d00c38e-f379-470b-a750-99ed050fc0cc", "metadata": {}, "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "name": "stdout", "output_type": "stream", "text": [ - "200\n", - "The main difference between the previous image and this next one is the time of day. The previous image was taken during the day, while the new image is taken at night. This change in lighting conditions creates a different atmosphere and highlights the city's lights and architectural features, making the cityscape more visually striking and dramatic.\n" + "\n", + "The image you've provided appears to be a nighttime view of a cityscape, with the city lights illuminating the buildings and streets. The sky is dark, indicating that it's nighttime. In contrast, the previous image you mentioned seems to be a daytime view of a city, with the sun shining on the buildings and the sky is clear and blue. The main difference between the two images is the time of day, with the nighttime image showing the city at night and the daytime image showing the city during the day. " ] } ], "source": [ - "prev_bot_utter = response1\n", + "import json\n", + "import asyncio\n", + "\n", + "prev_bot_utter = result.json()['choices'][0]['text']\n", "\n", "user_utterance2 = \"whats the difference between the previous image and this next one?\"\n", "\n", "prompt = pre_prompt + \\\n", - "f\"USER:\\n\\n{user_utterance}ASSISTANT:{prev_bot_utter}USER:\\n\\n{user_utterance2}ASSISTANT:\"\n", + "f\"USER:\\n{user_utterance}ASSISTANT:{prev_bot_utter}USER:\\n\\n{user_utterance2}ASSISTANT:\"\n", + "\n", + "binary_file_content = open('nightcity.png', 'rb').read() \n", + "image2_base64_utf8_str = base64.b64encode(binary_file_content).decode('utf-8')\n", + "\n", + "display_base64_image(image2_base64_utf8_str)\n", "\n", "headers = {\n", " \"Authorization\": f\"Bearer {TOGETHER_API_KEY}\",\n", @@ -174,32 +236,39 @@ " \"content-type\": \"application/json\"\n", "}\n", "\n", - "result = requests.post(\n", - " url, \n", - " headers = headers,\n", - " json = {\n", - " \"model\": \"liuhaotian/llava-v1.5-13b\",\n", - " \"prompt\": prompt, \n", - " \"image_base64\": [image1_base64_utf8_str, image2_base64_utf8_str],\n", - " \"seed\": 42, \n", - " },\n", - ")\n", + "async def stream_response():\n", + " \n", + " data = {\n", + " \"model\": model_id,\n", + " \"prompt\": prompt,\n", + " \"image_data\": f'data:image/jpeg;base64,{image2_base64_utf8_str}',\n", + " \"max_tokens\": 256,\n", + " \"temperature\": 0,\n", + " \"stream\": True\n", + " }\n", "\n", - "print(result.status_code)\n", + " async with httpx.AsyncClient(timeout=200) as client:\n", + " async with client.stream(\"POST\", url, headers=headers, json=data) as response:\n", + " if response.status_code == 200:\n", "\n", - "if result.status_code == 200:\n", - " if 'outputs' in result.json():\n", - " response2 = result.json()['outputs']\n", - " elif 'output' in result.json():\n", - " response2 = result.json()['output']['outputs']\n", + " async for chunk in response.aiter_text():\n", + "\n", + " if \"[DONE]\" in chunk:\n", + " break\n", + " \n", + " chunk_data = json.loads(chunk[6:])\n", + " print(chunk_data['choices'][0]['text'], end=\"\", flush=True) \n", + " \n", + " else:\n", + " print(response.status_code)\n", "\n", - " print(response2)" + "await stream_response()" ] }, { "cell_type": "code", "execution_count": null, - "id": "87e9e548-6dfe-4ff4-aeb1-3f1fe9e1b654", + "id": "d73ae0b7-df36-451f-abf7-dc796997b116", "metadata": {}, "outputs": [], "source": [] diff --git a/notebooks/beachcity.png b/notebooks/beachcity.png new file mode 100644 index 0000000000000000000000000000000000000000..efe92099b0ee7ee579329402f3c2182c34c5c1d2 GIT binary patch literal 217009 zcmZ^}1ymf}vNnvngy3!=Sa2WQ2^w62OK=@z@C0`Y1b3G}aQ6gvcNp9Uw;ABed+zz} zJ?sA8-@W$Q)m8P>Q+s#yTD^C7;xjBEab+CeiQ;1B_Mb*`Z ze*A9n$@(>r&#_Bl1Q9MWR4|xhZ%^6}4z44L@dp8dMDq2I?-+mFu*j!UdXQ*yI0p3< z4H*VW6+7g?-$^FJT9D!D0I96Q2ogKoyQH!mAIkElF>9kEI0)eLhQBU}i+6v;bp`zP zoRY_?HOx)F3|3v(mcSxknyY63UtS6I zx2=z{MI>8zMEJ^(PIJ9Ek$_1K={`uuXw+MQKPm>!r7>FdXTbYM7(J|QDMZB5;t=l1 z%9lUHD4Q{%nzu+z4fjc@()~txGfAu<{Z>nioB{c=LeIv(BxGFU@}T9dtf6-mv~KO) z55-rHrmuxFgS=7o_?k2&QV!bhl;gtm5Y4S^ourCJtSw#ng?)PD>7r8)oRM8SBnXI# z<_4p<8S*b#UhDjhdi-i*m!(u2Fd(dBs#v-UsPrvK-elWN0BRH@{zen zgNy3TeS`kh-Ni7WKo>5G=G7xXn<`tPq@Y=Wi;h_2n;^AJkO+uPGv+O}oDxbrEj>)$ zo!vns&6&#K>LqXz_tz#Vk!68ai~|jwG_dD8i4@lRFnsCAyB56jc<8qJ1qoUv>%{L) z)cwo#+>4MYRggl9>fyV!44My#u;e|aDfC-u?Z%;pTA~*0xtpF~7x6Nj6j%Q>G(qq= zCk`g=*F;g8QJp=u8jKyrv+nV&@b>(x!j?~;M&2mW{5d~JB*P)23TC-7c-5n}swNG- z{epW3qsV=hzJ0u)c&umSr(TWE{-bJsP)o0eXlgoGD_2D*%rY2Uc~Wccfh`lQyZar} zBjhzgz{PqmCAn>`&Ar`E{f-dh{pjZOS0kDnI=nAd#N2up(KMzmG9m|NSh~cz0&u&V z#Cs)#kQ~fl%AkkI z|8?9{cnSIL8;T237Ls+3tP80js@K->5dwz<2MAS+9!*Nh291(SX6%jqZ#-AovyZnEjMLGF9u4^Z-|o!dH2ZJ3fMe(u<_;fF zl=`{3(D@Nr`&oY3RpHnN-9NG{MBbWGyV9u+lD6O*_JTogC;Az;c`ia94E%(REzB={8QVn{eF|-cC$d|wJp>f{McW$Cw^b@qKy6`-2LWjDNUDKqfOXWG_iS1T^mux(Y zNI|KPaE55w&ZgAn-j&Czh3rgO535A>+gNWyYTj!VD-MhwYt> zdV@p5l7Zn*QiBwO@CHD`Q^U~;eS<~AbtADIWJ;{&SvkDOq7c8Je=)tXUjHC@f*v5( zTvUG~@h(q7G&bW9(y;Id+c~dU8Ft@Z@ zFEIB7`&ms|IqX*$TG$5?4T0T}gnJZeYy@m16f2Z=>}qm9ZcCCdl6^9EJ_pVY>kx7w zl0T#>+y>6>D`nPY=btw7JMyih@3A`_W5|R_2FcasYg6DKw35qH*)*545x z8K#YU;-cYYE<`9a4-j=(@QQO|cXe_J5L&YXty~oMPvX4pZ-bK#>i+Capk?FX(JRXF z#)8g{w?=?J-8=W?fS4YcM+=8{BkR*fTU{H^C8+Bb$%7*CU*ckn0v`d7`%mW={`@nZMW(wy660YXU@ZZe zFu*hE%h3z@voPWqVhj8{JT4*|;^Vi^h`DvA`a)INRjHEfl1X{Nl8|Mw)1y=TUOg8* z7k!t{5vmFrLn{f;e4>2){KouFGb%I9e$^2CKKlODFfSKnK@nB#Qh`2Ja~~O{A|Fes z-IbwmbsY7ivJ&;fvIzB2`SsYQI3ihr-(N{o$F9ler5}`zC`A2kZl;MfV>Lp{V{MBX zb{l@$`ddg1R8h?GEm$}lEs^gy460Ch1$0b5bX>|a+Nf@+F6F8!sD0c_d z<-%RT?c?pR!LorFKof}E{dtQ~?>#8vD7E#&wf+y2g{!Lb)32vdr&P3`TXY^+7)7k5 zC!lL-YmTkY-ptSDVS9085lazh^v-x}Se~U) zwpQ8XMNCiRD)cVd8*Alh{}MXBB9;jd_PT>GurrJ*ZcKbkpXFV&Jg;hv4?u?&H)$1W zX{>NfdToR~KKOxQO~_7|3m+bI1~}S3oog7YzgW>agF{W^VQo)~FS6;;D@4BR#@!(; zG7Y-}Ghd5WQ*Aj|jqhw8%l2+rNmxg8I*f$O_8u|rqp&N>DlIDky7E7r3@sYJ3}
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