fix: readme config fixes

README.md

@@ -1,37 +1,10 @@
-# 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.
+---
+title: LLM-Integrated-Excel-Plotter-App
+emoji: 📊
+colorFrom: blue
+colorTo: indigo
+sdk: gradio
+sdk_version: "4.16.0"
+app_file: app.py
+pinned: false
+---