Transform ChatPDF for Google Gemini Integration#9
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This pull request modifies the original PDF Intelligence System to create ChatPDF, a user-friendly Streamlit web application that allows users to upload PDF files and interact with Google Gemini AI. The changes enhance the functionality of the application, enabling users to ask questions about the PDF content and receive AI-generated responses.
Key Changes
PDF File Upload: Added functionality for users to upload a PDF file, with the app extracting the content.
PDF Content Preview: Implemented a feature that displays a preview of the extracted text from the uploaded PDF, showing the first 1500 characters.
Interactive AI Chatbot: Integrated Google Gemini AI to answer user queries related to the extracted PDF content.
Response Generation: The app now leverages the Google Gemini API to generate responses based on user questions.
Features
User-friendly Interface: Streamlit interface for seamless interaction with PDF documents.
Efficient Information Retrieval: Users can easily ask questions about the PDF content, and the app provides accurate responses generated by Google Gemini AI.
How to Use
Navigate to the project directory: Change your terminal to the project folder.
Install required dependencies: Run pip install -r requirements.txt.
Set up Google Gemini API:
Sign up for the Google Gemini API and obtain your API key.
Open the app.py file and replace "YourAPIKEY" with your actual API key.
Run the app: Use the command streamlit run app.py to launch the application.
Open a browser and visit: Navigate to http://localhost:8000 to access the app.
Dependencies
Streamlit: For building the web app interface.
PyMuPDF (fitz): For extracting text from the uploaded PDF.
Google Gemini AI: For generating responses to user queries.
Acknowledgments
Thanks to the original authors for their foundational work on the PDF Intelligence System. The integration of Google Gemini AI enhances the overall capability of the project.