add gradio app

WARP.md

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+# WARP.md
+
+This file provides guidance to WARP (warp.dev) when working with code in this repository.
+
+## Project Overview
+
+This is a Hugging Face Space configured to run a Gradio application. The space is designed to host a small model demo.
+
+**Key Information:**
+- **Platform**: Hugging Face Spaces
+- **SDK**: Gradio 5.49.1
+- **Entry Point**: `app.py` (to be created)
+- **License**: Apache 2.0
+- **Remote**: https://huggingface.co/spaces/pranjal00/trial
+
+## Architecture
+
+Hugging Face Spaces with Gradio follow this pattern:
+- `app.py` contains the Gradio interface definition and launches the app
+- Model files (`.bin`, `.pt`, `.pth`, `.safetensors`, etc.) are tracked with Git LFS
+- The Space automatically runs `app.py` when deployed
+
+## Common Commands
+
+### Development
+```bash
+# Install Gradio locally
+pip install gradio==5.49.1
+
+# Run the app locally
+python app.py
+
+# Run with hot reload (if using gradio.reload)
+gradio app.py
+```
+
+### Deployment
+Changes pushed to the `main` branch are automatically deployed to Hugging Face Spaces. No manual deployment command is needed.
+
+```bash
+# Push to deploy
+git push origin main
+```
+
+### Working with Large Files (LFS)
+This repository uses Git LFS for model files and large binary assets.
+
+```bash
+# Track a new large file type
+git lfs track "*.extension"
+
+# Verify LFS tracking
+git lfs ls-files
+
+# Push LFS files
+git lfs push origin main
+```
+
+## Important Notes
+
+### Git LFS Configuration
+The `.gitattributes` file is pre-configured to track common ML file formats with LFS including:
+- Model weights: `*.bin`, `*.pt`, `*.pth`, `*.safetensors`, `*.onnx`
+- Data files: `*.parquet`, `*.arrow`, `*.pkl`, `*.h5`
+- Archives: `*.zip`, `*.tar`, `*.gz`
+
+Any new model or large binary files matching these patterns will automatically be tracked with LFS.
+
+### Gradio App Structure
+When creating `app.py`, use this pattern:
+```python
+import gradio as gr
+
+def your_function(input):
+    # Your logic here
+    return output
+
+demo = gr.Interface(
+    fn=your_function,
+    inputs=...,
+    outputs=...,
+    title="...",
+    description="..."
+)
+
+if __name__ == "__main__":
+    demo.launch()
+```
+
+### Space Configuration
+The README.md frontmatter controls Space settings. Key fields:
+- `sdk`: Must match installed Gradio version
+- `app_file`: Entry point (default: `app.py`)
+- `sdk_version`: Gradio version to use
+- `pinned`: Whether Space appears in your profile
+
+Modify these in the README.md YAML frontmatter, not in code.

test_app.py

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+import unittest
+from app import greet
+
+
+class TestGreet(unittest.TestCase):
+    def test_greet_returns_hello_with_name(self):
+        """Test that greet function returns 'Hello [name]!!' for a given name."""
+        result = greet("Alice")
+        self.assertEqual(result, "Hello Alice!!")
+        
+        result = greet("Bob")
+        self.assertEqual(result, "Hello Bob!!")
+        
+        result = greet("World")
+        self.assertEqual(result, "Hello World!!")
+
+
+if __name__ == "__main__":
+    unittest.main()