https://github.com/youssefhosni/chat-with-pdf

Step-by-Step Guide to Building a PDF-Chat App using LangChain, OpenAI API & Streamlit
https://github.com/youssefhosni/chat-with-pdf

Last synced: about 2 months ago
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Step-by-Step Guide to Building a PDF-Chat App using LangChain, OpenAI API & Streamlit

• Host: GitHub
• URL: https://github.com/youssefhosni/chat-with-pdf
• Owner: youssefHosni
• License: mit
• Created: 2023-06-29T02:34:25.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-07-04T01:33:24.000Z (almost 2 years ago)
• Last Synced: 2025-04-30T20:05:01.166Z (about 2 months ago)
• Language: Python
• Homepage:
• Size: 549 KB
• Stars: 75
• Watchers: 3
• Forks: 20
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Chat-With-Pdf

This project highlights how to leverage a ChromaDB vector store in a Langchain pipeline to create a chat with a Pdf application. You can load in a pdf based document and use it alongside an LLM without fine-tuning. 

![alt_text](https://github.com/youssefHosni/Chat-with-Pdf/blob/main/PDF-Chat%20App.png)

# Startup 🚀

1. Create a virtual environment `python -m venv langchainenv`

2. Activate it: 

   - Windows:`.\langchainenv\Scripts\activate`

   - Mac: `source langchain/bin/activate'

3. Clone this repo `git clone https://github.com/nicknochnack/LangchainDocuments`

4. Go into the directory `cd LangchainDocuments`

5. Install the required dependencies `pip install -r requirements.txt`

6. Add your OpenAI APIKey to line 52 of `app.py`

7. Start the app `streamlit run app.py`

8. Load the Pdf you would like to ask questions

9. Ask questions and get the answers