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Browse files- README.md +6 -12
- config/__init__.py +0 -0
- config/__pycache__/__init__.cpython-310.pyc +0 -0
- config/__pycache__/config.cpython-310.pyc +0 -0
- config/config.py +18 -0
- conversation.py +38 -0
- gradio-ui.py +41 -0
- indexes.py +52 -0
- requirements.txt +142 -0
README.md
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emoji: 🔥
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colorFrom: purple
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colorTo: red
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sdk: gradio
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sdk_version: 3.38.0
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app_file: app.py
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pinned: false
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license: mit
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---
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# Question Answer over a PDF document
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This is a repository for my [YouTube channel](https://www.youtube.com/channel/UCOT01XvBSj12xQsANtTeAcQ), you can build a
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#### YouTube video
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I have created a video explaining this repository, you can watch it [here](https://youtu.be/fNfcEvhwTMA).
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It have Gradio UI as well, [here](https://youtu.be/XRfHDoROopY) is a video explaining it.
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config/__init__.py
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config/__pycache__/__init__.cpython-310.pyc
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Binary file (145 Bytes). View file
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config/__pycache__/config.cpython-310.pyc
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Binary file (499 Bytes). View file
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config/config.py
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import os
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import tempfile
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from dotenv import load_dotenv, find_dotenv
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load_dotenv(find_dotenv())
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PINECONE_API_KEY = os.getenv('PINECONE_API_KEY')
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PINECONE_ENVIRONMENT = os.getenv('PINECONE_ENVIRONMENT')
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OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')
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OUTPUT_DIR = os.path.join(
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tempfile.gettempdir(),
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'rkk-document-gpt',
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'output'
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)
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os.makedirs(OUTPUT_DIR, exist_ok=True)
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conversation.py
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from langchain.chains import ConversationalRetrievalChain
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from langchain.chat_models import ChatOpenAI
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from langchain.vectorstores import Pinecone
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from langchain.embeddings.openai import OpenAIEmbeddings
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from langchain.memory import ConversationBufferMemory
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import pinecone
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def create_conversation(query: str, chat_history: list, pinecone_api_key: str, pinecone_environment: str, pinecone_index_name: str, openai_api_key: str) -> tuple:
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try:
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pinecone.init(
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api_key=pinecone_api_key,
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environment=pinecone_environment,
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)
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embeddings = OpenAIEmbeddings(
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openai_api_key=openai_api_key
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)
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db = Pinecone.from_existing_index(
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index_name=pinecone_index_name,
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embedding=embeddings
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)
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memory = ConversationBufferMemory(
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memory_key='chat_history',
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return_messages=False
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)
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cqa = ConversationalRetrievalChain.from_llm(
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llm=ChatOpenAI(temperature=0.0,
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openai_api_key=openai_api_key),
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retriever=db.as_retriever(),
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memory=memory,
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get_chat_history=lambda h: h,
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)
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result = cqa({'question': query, 'chat_history': chat_history})
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chat_history.append((query, result['answer']))
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return '', chat_history
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except Exception as e:
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chat_history.append((query, e))
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return '', chat_history
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gradio-ui.py
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import gradio as gr
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from indexes import create_indexes, clear_indexes
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from conversation import create_conversation
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with gr.Blocks() as demo:
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with gr.Row():
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pinecone_api_key = gr.components.Textbox(
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label='Pinecone API key', type='password')
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pinecone_environment = gr.components.Textbox(
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label='Pinecone environment')
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pinecone_index_name = gr.components.Textbox(
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label='Pinecone index name')
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openai_api_key = gr.components.Textbox(
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label='Openai API key', type='password')
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with gr.Row():
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with gr.Column():
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file = gr.components.File(
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label='Upload your pdf file',
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file_count='single',
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file_types=['.pdf'])
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with gr.Row():
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upload = gr.components.Button(
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value='Upload', variant='primary')
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index_clear_btn = gr.components.Button(
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value='Clear', variant='stop')
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label = gr.components.Textbox(label='Status of uploaded file')
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chatbot = gr.Chatbot(label='Talk to the Document')
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msg = gr.Textbox(label='Ask a question')
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clear = gr.ClearButton([msg, chatbot])
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upload.click(create_indexes, [
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file, pinecone_api_key, pinecone_environment, pinecone_index_name, openai_api_key], [label])
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index_clear_btn.click(clear_indexes, [
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pinecone_api_key, pinecone_environment, pinecone_index_name], [label, file])
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msg.submit(create_conversation, [msg, chatbot, pinecone_api_key,
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pinecone_environment, pinecone_index_name, openai_api_key], [msg, chatbot])
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if __name__ == '__main__':
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demo.launch()
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indexes.py
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import tempfile
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import os
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from langchain.document_loaders import PyPDFLoader
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from langchain.embeddings.openai import OpenAIEmbeddings
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain.document_loaders import DirectoryLoader, TextLoader
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from langchain.vectorstores import Pinecone
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from PyPDF2 import PdfReader
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import pinecone
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from config import config
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def create_indexes(file: tempfile, pinecone_api_key: str, pinecone_environment: str, pinecone_index_name: str, openai_api_key: str) -> str:
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try:
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file_path = file.name
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reader = PyPDFLoader(file_path)
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documents = reader.load_and_split()
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embeddings = OpenAIEmbeddings(
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openai_api_key=openai_api_key
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)
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pinecone.init(
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api_key=pinecone_api_key,
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environment=pinecone_environment
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)
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indexes_list = pinecone.list_indexes()
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if pinecone_index_name not in indexes_list:
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pinecone.create_index(
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name=pinecone_index_name,
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dimension=1536
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)
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Pinecone.from_documents(
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documents=documents,
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embedding=embeddings,
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index_name=pinecone_index_name
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)
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return 'Document uploaded and index created successfully. You can chat now.'
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except Exception as e:
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return e
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def clear_indexes(pinecone_api_key: str, pinecone_environment: str, pinecone_index_name: str) -> str:
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try:
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pinecone.init(
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api_key=pinecone_api_key,
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environment=pinecone_environment
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)
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indexes_list = pinecone.list_indexes()
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if pinecone_index_name in indexes_list:
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pinecone.delete_index(name=pinecone_index_name)
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return 'Indexes cleared.', None
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except Exception as e:
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return e, None
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requirements.txt
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aiofiles==23.1.0
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aiohttp==3.8.4
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aiosignal==1.3.1
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4 |
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altair==5.0.1
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5 |
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anyio==3.7.1
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6 |
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asttokens==2.2.1
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7 |
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async-timeout==4.0.2
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8 |
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attrs==23.1.0
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autopep8==2.0.2
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backcall==0.2.0
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backoff==2.2.1
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certifi==2023.5.7
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charset-normalizer==3.2.0
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14 |
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click==8.1.4
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15 |
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clickhouse-connect==0.6.6
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16 |
+
coloredlogs==15.0.1
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comm==0.1.3
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contourpy==1.1.0
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19 |
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cycler==0.11.0
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dataclasses-json==0.5.9
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debugpy==1.6.7
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decorator==5.1.1
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dnspython==2.3.0
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duckdb==0.8.1
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exceptiongroup==1.1.2
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executing==1.2.0
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27 |
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fastapi==0.100.0
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28 |
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ffmpy==0.3.0
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29 |
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filelock==3.12.2
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30 |
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flatbuffers==23.5.26
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31 |
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fonttools==4.40.0
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32 |
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frozenlist==1.3.3
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33 |
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fsspec==2023.6.0
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gradio==3.36.1
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gradio_client==0.2.7
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36 |
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greenlet==2.0.2
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37 |
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h11==0.14.0
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38 |
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hnswlib==0.7.0
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39 |
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httpcore==0.17.3
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40 |
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httptools==0.6.0
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41 |
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httpx==0.24.1
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42 |
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huggingface-hub==0.16.4
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43 |
+
humanfriendly==10.0
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44 |
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idna==3.4
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45 |
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importlib-metadata==6.8.0
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46 |
+
importlib-resources==6.0.0
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47 |
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ipykernel==6.24.0
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48 |
+
ipython==8.14.0
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49 |
+
ipywidgets==8.0.7
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50 |
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jedi==0.18.2
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51 |
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Jinja2==3.1.2
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52 |
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jsonschema==4.18.0
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53 |
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jsonschema-specifications==2023.6.1
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54 |
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jupyter_client==8.3.0
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55 |
+
jupyter_core==5.3.1
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56 |
+
jupyterlab-widgets==3.0.8
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57 |
+
kiwisolver==1.4.4
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58 |
+
langchain==0.0.228
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59 |
+
langchainplus-sdk==0.0.20
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60 |
+
linkify-it-py==2.0.2
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61 |
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loguru==0.7.0
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62 |
+
lz4==4.3.2
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63 |
+
markdown-it-py==2.2.0
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64 |
+
MarkupSafe==2.1.3
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65 |
+
marshmallow==3.19.0
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66 |
+
marshmallow-enum==1.5.1
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67 |
+
matplotlib==3.7.2
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68 |
+
matplotlib-inline==0.1.6
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69 |
+
mdit-py-plugins==0.3.3
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70 |
+
mdurl==0.1.2
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71 |
+
monotonic==1.6
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72 |
+
mpmath==1.3.0
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73 |
+
multidict==6.0.4
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74 |
+
mypy-extensions==1.0.0
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75 |
+
nest-asyncio==1.5.6
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76 |
+
numexpr==2.8.4
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77 |
+
numpy==1.25.1
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78 |
+
onnxruntime==1.15.1
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79 |
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openai==0.27.8
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80 |
+
openapi-schema-pydantic==1.2.4
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81 |
+
orjson==3.9.2
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82 |
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overrides==7.3.1
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83 |
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packaging==23.1
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84 |
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pandas==2.0.3
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85 |
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parso==0.8.3
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86 |
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pexpect==4.8.0
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87 |
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pickleshare==0.7.5
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88 |
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Pillow==10.0.0
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89 |
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pinecone-client==2.2.2
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90 |
+
platformdirs==3.8.1
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91 |
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posthog==3.0.1
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92 |
+
prompt-toolkit==3.0.39
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93 |
+
protobuf==4.23.4
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94 |
+
psutil==5.9.5
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95 |
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ptyprocess==0.7.0
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96 |
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pulsar-client==3.2.0
|
97 |
+
pure-eval==0.2.2
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98 |
+
pycodestyle==2.10.0
|
99 |
+
pydantic==1.10.11
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100 |
+
pydub==0.25.1
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101 |
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Pygments==2.15.1
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102 |
+
pyparsing==3.0.9
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103 |
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PyPDF2==3.0.1
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104 |
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python-dateutil==2.8.2
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105 |
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python-dotenv==1.0.0
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106 |
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python-multipart==0.0.6
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107 |
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pytz==2023.3
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108 |
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PyYAML==6.0
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109 |
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pyzmq==25.1.0
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110 |
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referencing==0.29.1
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111 |
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regex==2023.6.3
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112 |
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requests==2.31.0
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113 |
+
rpds-py==0.8.10
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114 |
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semantic-version==2.10.0
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115 |
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six==1.16.0
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116 |
+
sniffio==1.3.0
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117 |
+
SQLAlchemy==2.0.18
|
118 |
+
stack-data==0.6.2
|
119 |
+
starlette==0.27.0
|
120 |
+
sympy==1.12
|
121 |
+
tenacity==8.2.2
|
122 |
+
tiktoken==0.4.0
|
123 |
+
tokenizers==0.13.3
|
124 |
+
tomli==2.0.1
|
125 |
+
toolz==0.12.0
|
126 |
+
tornado==6.3.2
|
127 |
+
tqdm==4.65.0
|
128 |
+
traitlets==5.9.0
|
129 |
+
typing-inspect==0.9.0
|
130 |
+
typing_extensions==4.7.1
|
131 |
+
tzdata==2023.3
|
132 |
+
uc-micro-py==1.0.2
|
133 |
+
urllib3==2.0.3
|
134 |
+
uvicorn==0.22.0
|
135 |
+
watchfiles==0.19.0
|
136 |
+
wcwidth==0.2.6
|
137 |
+
websockets==11.0.3
|
138 |
+
widgetsnbextension==4.0.8
|
139 |
+
yarl==1.9.2
|
140 |
+
zipp==3.16.0
|
141 |
+
zstandard==0.21.0
|
142 |
+
pypdf==3.12.2
|