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---
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.
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