Spaces:
Sleeping
Sleeping
| title: BTP Chatbot | |
| emoji: π | |
| colorFrom: purple | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version: 4.12.0 | |
| app_file: app.py | |
| pinned: false | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # Project Name | |
| Climate QnA BOT | |
| ## Setup Instructions | |
| ### Prerequisites | |
| - Python 3.x | |
| - pip | |
| ### Installation | |
| 1. Clone the repository: | |
| ```bash | |
| git lfs install | |
| git clone https://huggingface.co/spaces/aaryan3781/BTP_chatbot | |
| ``` | |
| 2. Navigate to the cloned repository: | |
| ```bash | |
| cd BTP_chatbot | |
| ``` | |
| 3. Install required packages: | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| ## Running the Application | |
| ### Running the Main App | |
| To run the main application, execute `app.py`: | |
| ```bash | |
| python app.py | |
| ``` | |
| ### Using the Abstract Searching Feature | |
| To train the abstract searching feature for other dataset, run `abstract.py` with your dataset file: | |
| ```bash | |
| python abstract.py --dataset [your_dataset_file] | |
| ``` | |
| Replace `[your_dataset_file]` with the path to your dataset file. | |
| ## Contributing | |
| Instructions for contributing to the project (if applicable). | |
| ## License | |
| Specify the license under which your project is released. | |