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Commit ·
ee8f394
1
Parent(s): 8ac93b8
Deployed RAG based IMDB Movie Chat bot
Browse files- Added requirements.txt and chainlit application
- Move vector databased on LFS
- Update permissions for app
- Added gradio_client to fix Exception in ASGI application
- Updated welcome screen and added support for generic questions for chat
- .gitattributes +2 -0
- Dockerfile +20 -0
- app/app.py +36 -0
- app/chainlit.md +17 -0
- app/faiss_index/index.faiss +3 -0
- app/faiss_index/index.pkl +3 -0
- requirements.txt +8 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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app/faiss_index/index.faiss filter=lfs diff=lfs merge=lfs -text
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app/faiss_index/index.pkl filter=lfs diff=lfs merge=lfs -text
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Dockerfile
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FROM python:3.9
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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RUN useradd -m -u 1000 user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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WORKDIR $HOME/app
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RUN chown -R user:user $HOME/app
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ADD app $HOME/app
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CMD ["chainlit", "run", "app.py", "--host", "0.0.0.0", "--port", "7860"]
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app/app.py
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from langchain_openai import ChatOpenAI
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from langchain.prompts import PromptTemplate
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from langchain.schema import StrOutputParser
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from langchain.schema.runnable import Runnable
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from langchain.schema.runnable.config import RunnableConfig
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from langchain_community.vectorstores import FAISS
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from langchain_openai import OpenAIEmbeddings
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import chainlit as cl
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@cl.on_chat_start
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async def on_chat_start():
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embedding_model = OpenAIEmbeddings(model="text-embedding-3-small")
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vector_store = FAISS.load_local("/home/user/app/faiss_index", embedding_model, allow_dangerous_deserialization=True)
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retriever = vector_store.as_retriever()
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prompt_template = PromptTemplate.from_template("{question}")
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chat_model = ChatOpenAI(streaming=True)
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runnable = retriever | prompt_template | chat_model | StrOutputParser()
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cl.user_session.set("runnable", runnable)
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@cl.on_message
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async def on_message(message: cl.Message):
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runnable = cl.user_session.get("runnable") # type: Runnable
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msg = cl.Message(content="")
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async for chunk in runnable.astream(
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message.content,
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config=RunnableConfig(callbacks=[cl.LangchainCallbackHandler()]),
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):
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await msg.stream_token(chunk)
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await msg.send()
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app/chainlit.md
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# Welcome to IMDB Movie Bot Chat!
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Welcome to IMDB Movie Bot Chat, where you can explore the fascinating world of movies and television! Whether you're a casual movie enthusiast or a dedicated film buff, this is the perfect place to discover new favorites, discuss classics, and delve into the latest releases.
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## What Can You Do Here?
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- **Search Movies**: Looking for information about a specific movie? Just type its title, and IMDB Movie Bot will provide you with details such as cast, plot summary, ratings, and more!
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- **Discover Recommendations**: Need some recommendations for what to watch next? Tell us your preferences, and we'll suggest movies tailored just for you.
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- **Discuss Favorites**: Have a favorite movie you can't stop talking about? Share it with the community and engage in lively discussions about what makes it special.
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## How to Get Started?
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Getting started is easy! Simply type your query or command in the chatbox, and IMDB Movie Bot will do the rest. Whether you're here to search for a specific movie, chat with fellow movie buffs, or simply explore, we're excited to have you join us.
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So, sit back, grab some popcorn, and let's embark on a cinematic journey together at IMDB Movie Bot Chat! 🍿🎬
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app/faiss_index/index.faiss
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d877e002b0a0d0f693a198c213d6b6a8f968d9f673e25e56ad769f7e91d8077
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size 117209133
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app/faiss_index/index.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:24fef3b32957ca271046114ed5d122ac3d0ba37cf05830cfddb3e1a363f026d2
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size 13356445
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requirements.txt
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chainlit==1.1.101
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datasets==2.19.1
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faiss-cpu==1.8.0
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langchain==0.2.0
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langchain-community==0.2.0
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langchain-openai==0.1.7
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tiktoken==0.7.0
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gradio_client
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