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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 | |
# 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 | |