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| # AI Tax Agent App - DOGE Grok AI | |
| [](https://huggingface.co/spaces/Athsara/DOGE-grok-ai-dev) | |
| https://huggingface.co/spaces/Athsara/DOGE-grok-ai-dev | |
| ## Introduction | |
| --- | |
| An AI-driven chatbot to assist citizens with tax inquiries, provide accurate information from a knowledge base, and facilitate appointment bookings for audits and inquiries efficiently. | |
| ## How to Run the Program Locally | |
| To set up and run the program, follow these steps: | |
| 1. Create a virtual environment: | |
| ```bash | |
| python -m venv venv | |
| ``` | |
| 2. Activate the virtual environment: | |
| - On Windows: | |
| ```bash | |
| venv\Scripts\activate | |
| ``` | |
| - On macOS/Linux: | |
| ```bash | |
| source venv/bin/activate | |
| ``` | |
| 3. Install the required dependencies | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| 4. Obtain an API key from GrokAI and add it to the `.env` file in the project directory. | |
| ```commandline | |
| GROK_API_KEY=your_secrit_api_key | |
| ``` | |
| 5. Run the application: | |
| ```bash | |
| streamlit run app.py | |
| ``` | |
| Once completed, the app will open in your default web browser. If it doesn't, check the terminal for the link (usually `http://localhost:8501`). | |
| ## Technologies Used | |
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| **Note:** Some technologies like Grok AI and LangChain might not have official logos available on Shields.io. In such cases, you can create custom badges or use alternative visual representations. | |
| ### Detailed List with Descriptions | |
| ```markdown | |
| ## Technologies Used | |
| - **Grok AI**: API used for interfacing with the GrokAI language model, facilitating the generation of conversational responses and enhancing the chatbot's ability to understand and process user queries effectively. | |
| - **Streamlit**: Framework used for building the interactive web application interface. | |
| - **Python**: The primary programming language utilized for development. | |
| - **LangChain**: Framework facilitating the integration and management of language models within the application. | |
| - **HuggingFace**: Platform used for deploying the application online, leveraging Hugging Face’s infrastructure and services. | |
| - **FAISS**: Vector search library for efficient similarity search and indexing of embeddings. | |
| - **Dotenv**: Manages environment variables securely, keeping sensitive information like API keys safe. | |
| - **HTML/CSS**: Technologies used for frontend customization and styling of the web application. | |
| - **JavaScript**: Adds interactivity and dynamic behavior to the frontend components. | |
| - **Conversational AI**: Core technology enabling the chatbot to engage in interactive dialogues based on user input. | |
| - **Natural Language Processing (NLP)**: Field of AI focused on the interaction between computers and human language, underpinning the chatbot's functionality. | |
| - **Vector Databases**: Manage and query vectorized data efficiently, essential for handling embeddings and similarity searches. | |
| - **AI Chatbot**: The primary functionality of the application, enabling interactive conversations based on the content of multiple PDFs. | |
| ## License | |
| --- | |
| The AI Tax Agent App is released under the [MIT License](https://opensource.org/licenses/MIT). | |
| ``` | |