| # Backend for Excel Plotter App | |
| This backend is a Flask application serving the Excel Plotter API. | |
| ## Deployment on Hugging Face Spaces | |
| - Ensure the fine-tuned BART large model files are included in the `backend/fine-tuned-bart-large/` directory or uploaded to Hugging Face Hub. | |
| - The app runs on port 7860. | |
| - To start the app, run: | |
| ```bash | |
| bash start.sh | |
| ``` | |
| - The `requirements.txt` includes all necessary dependencies. | |
| - Make sure to set any required environment variables in the Hugging Face Space settings. | |
| ## Using the Fine-tuned BART Large Model from Hugging Face Hub | |
| You can load the fine-tuned BART large model directly from Hugging Face Hub in your backend code as follows: | |
| ```python | |
| from transformers import AutoModelForSeq2SeqLM, AutoTokenizer | |
| model_name = "ArchCoder/fine-tuned-bart-large" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForSeq2SeqLM.from_pretrained(model_name) | |
| ``` | |
| Replace `"ArchCoder/fine-tuned-bart-large"` with your actual model repository name if different. | |
| Make sure your backend code (e.g., in `llm_agent.py` or wherever the model is loaded) uses this method to load the model from the Hub instead of local files. | |
| ## Notes | |
| - Static files are served from the `static` directory. | |
| - Adjust API URLs in the frontend to point to the deployed backend URL. | |