Update README.md

README.md

@@ -1,3 +1,13 @@
+---
+title: RoBERTa IMDb Sentiment Analyzer — Pro
+emoji: 🤖
+colorFrom: blue
+colorTo: purple
+sdk: docker
+sdk_version: "latest"
+app_file: app.py
+pinned: true
+---
 
 # RoBERTa IMDb Sentiment Analyzer — Pro (Docker-ready)
 
@@ -11,31 +21,5 @@ This project provides a professional-grade sentiment analysis API & UI using a R
 
 ## Local Testing (Optional)
 1. Create & activate venv:
-   ```
-   python -m venv venv
-   venv\Scripts\activate
-   ```
 2. Install dependencies (recommended to install torch wheel suitable for your system first):
-   ```
-   pip install -r requirements.txt
-   ```
 3. Run:
-   ```
-   python app.py
-   ```
-4. Open: http://127.0.0.1:7860/
-
-## Deploy to Hugging Face Spaces (Docker)
-1. Create a new Space on Hugging Face:
-   - SDK: Docker
-   - Hardware: CPU (Free)
-2. Upload all files from this repository (you can upload the ZIP contents).
-3. Wait for the Space to build. The first run may take time as the model downloads.
-
-## API
-- `POST /api/predict` accepts JSON: `{ "text": "your text" }`
-- Response: `{ "label": "Positive"/"Negative", "confidence": 0.987 }`
-
-## Notes
-- The app sets Hugging Face cache to `/tmp` to avoid container permission issues.
-- If you want to include a local pre-downloaded model, place it under `model/` and change `MODEL_ID` to the path.