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--- |
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title: Financial Chatbot |
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emoji: 💰 |
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colorFrom: blue |
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colorTo: green |
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sdk: streamlit |
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sdk_version: "1.26.0" |
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app_file: app.py |
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pinned: false |
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--- |
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Financial Chatbot for Infosys Financial Reports |
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- This is a Retrieval-Augmented Generation (RAG) chatbot designed to answer questions about Infosys financial statements from the last two years (2022-2024). |
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- The chatbot uses open-source models and advanced retrieval techniques to provide accurate and concise answers. |
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Project Structure |
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------------------ |
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- The project is organized as follows: |
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``` |
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Financial-Chatbot/ |
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├── app.py # Streamlit application interface |
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├── chroma_db/ # Chroma vector database storage |
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├── Infy financial report/ # Folder containing Infosys financial PDFs |
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│ ├── INFY_2022_2023.pdf |
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│ └── INFY_2023_2024.pdf |
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├── requirements.txt # Python dependencies |
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├── utils.py # Core functionality and RAG implementation |
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└── README.md # This file |
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``` |
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Installation |
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-------------- |
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Python Version: ```Python 3.10.xx``` |
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Python lib requirements: ```pip install -r requirements.txt``` |
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Place PDFs: |
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------------ |
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- Ensure the Infosys financial reports (INFY_2022_2023.pdf and INFY_2023_2024.pdf) are placed in the Infy financial report/ folder. |
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Running the Application |
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------------------------ |
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- To start the chatbot, run the following command: |
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```streamlit run app.py --server.enableCORS false``` |
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- 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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