README.md

metadata

title: Financial Chatbot
emoji: 💰
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.26.0
app_file: app.py
pinned: false

Financial Chatbot for Infosys Financial Reports

• This is a Retrieval-Augmented Generation (RAG) chatbot designed to answer questions about Infosys financial statements from the last two years (2022-2024).
• The chatbot uses open-source models and advanced retrieval techniques to provide accurate and concise answers.

Project Structure

• The project is organized as follows:

Financial-Chatbot/
├── app.py                  # Streamlit application interface
├── chroma_db/              # Chroma vector database storage
├── Infy financial report/  # Folder containing Infosys financial PDFs
│   ├── INFY_2022_2023.pdf
│   └── INFY_2023_2024.pdf
├── requirements.txt        # Python dependencies
├── utils.py                # Core functionality and RAG implementation
└── README.md               # This file

Installation

Python Version: Python 3.10.xx

Python lib requirements: pip install -r requirements.txt

Place PDFs:

• Ensure the Infosys financial reports (INFY_2022_2023.pdf and INFY_2023_2024.pdf) are placed in the Infy financial report/ folder.

Running the Application

• To start the chatbot, run the following command:

streamlit run app.py --server.enableCORS false

• The application will start and provide a local URL (e.g., http://localhost:8501). Open this URL in your browser to interact with the chatbot.