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| title: SIMPLIFY Text Summarizer | |
| emoji: π | |
| colorFrom: indigo | |
| colorTo: red | |
| sdk: gradio | |
| sdk_version: 4.15.0 | |
| app_file: app.py | |
| pinned: false | |
| pip_version: 23.3.2 | |
| # S I M P L I F Y | |
| **Harness the power of LLMs to extract concise summaries from extensive text.** | |
| ## Installation | |
| 1. **Create a virtual environment:** | |
| - Navigate to the project directory in your terminal. | |
| - Create a virtual environment: `python -m venv env` | |
| - Activate the environment: | |
| - Windows: `env\Scripts\activate.bat` | |
| - Linux/macOS: `source env/bin/activate` | |
| 2. **Install dependencies:** | |
| - Install required packages: `pip install -r requirements.txt` | |
| 3. **Set environment variable:** | |
| - Set your Hugging Face API token: | |
| `export HUGGINFACEHUB_API_TOKEN=YOUR_API_TOKEN` | |
| - Set your Hugging Face API token as api_token variable. | |
| ## Usage | |
| 1. **Run the main script:** | |
| - Execute the main script: `python main.py` | |
| ## Additional Information | |
| - **Key frameworks:** LangChain, Hugging Face LLMs | |
| - **Supported document types:** PDF (currently) | |
| - **Customization:** Adjust prompts and code for different content and queries. | |
| ## Creators | |
| - Anish De, B.Tech. Electrical Engineering | |
| - Yash Shrivastava, B.Tech. Computer Science Engineering | |
| - Dev Virani, B.Tech. Computer Science Engineering | |