niddijoris commited on
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Prepare for Hugging Face Spaces deployment

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  1. .gitignore +48 -0
  2. README.md +2 -2
  3. requirements.txt +10 -10
.gitignore ADDED
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+ # Python
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+ __pycache__/
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+ *.py[cod]
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+ *$py.class
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+ *.so
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+ .Python
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+ build/
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+ develop-eggs/
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+ dist/
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+ downloads/
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+ eggs/
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+ .eggs/
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+ lib/
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+ lib64/
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+ parts/
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+ sdist/
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+ var/
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+ wheels/
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+ *.egg-info/
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+ .installed.cfg
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+ *.egg
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+
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+ # Virtual Environment
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+ .venv/
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+ venv/
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+ ENV/
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+ env/
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+
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+ # Environment Variables
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+ .env
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+
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+ # IDE
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+ .vscode/
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+ .idea/
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+ *.swp
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+ *.swo
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+ *~
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+
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+ # OS
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+ .DS_Store
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+ Thumbs.db
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+
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+ # Project Specific
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+ vector_db/
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+ *.pdf
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+
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+ # Logs
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+ *.log
README.md CHANGED
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  A robust, RAG-based AI agent designed to assist users by answering questions from local PDF documentation and seamlessly creating GitHub support tickets when answers are unavailable.
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- ## hugging face link
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- [niddijoris/RAG_Customer_Support](https://huggingface.co/spaces/niddijoris/RAG_Customer_Support)
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  ## 🌟 Features
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  * **RAG (Retrieval-Augmented Generation)**: Answers user queries using a local knowledge base created from PDF documents.
 
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  A robust, RAG-based AI agent designed to assist users by answering questions from local PDF documentation and seamlessly creating GitHub support tickets when answers are unavailable.
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+ ## πŸš€ Live Demo
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+ [Try it on Hugging Face Spaces](https://huggingface.co/spaces/niddijoris/RAGCustomerSupportAgent)
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  ## 🌟 Features
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  * **RAG (Retrieval-Augmented Generation)**: Answers user queries using a local knowledge base created from PDF documents.
requirements.txt CHANGED
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- streamlit
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- openai
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- langchain
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- langchain-community
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- langchain-openai
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- pypdf
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- faiss-cpu
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- PyGithub
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- python-dotenv
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- tiktoken
 
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+ streamlit==1.50.0
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+ openai==2.16.0
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+ langchain==0.3.27
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+ langchain-community==0.3.31
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+ langchain-openai==0.3.35
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+ pypdf==6.6.2
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+ faiss-cpu==1.13.0
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+ PyGithub==2.8.1
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+ python-dotenv==1.2.1
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+ tiktoken==0.12.0