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 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:

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.