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Browse files- DEPLOYMENT_FIXES.md +69 -0
- GRADIO_5_UPDATES.md +62 -0
- deploy_hf.py +10 -29
- requirements.txt +6 -6
- test_deployment.py +135 -0
DEPLOYMENT_FIXES.md
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# π οΈ Deployment Fixes Applied
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## Issues Encountered and Fixes
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### 1. MediaPipe Version Compatibility β
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**Problem**: `mediapipe==0.10.3` was not available in the package repository
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**Solution**: Updated to `mediapipe==0.10.14` (confirmed available)
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### 2. Gradio Component Compatibility β
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**Problem**: `TypeError: File.__init__() got an unexpected keyword argument 'info'`
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**Root Cause**: The `info` parameter is not supported in Gradio 4.16.0 for File and other components
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**Fixes Applied**:
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- Removed `info` parameter from `gr.Number()` component
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- Removed `info` parameter from `gr.Textbox()` component
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- Removed `info` parameter from `gr.File()` component
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- Replaced with `gr.Markdown()` components for providing user guidance
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- Removed `size="lg"` parameter from `gr.Button()` components
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- Removed `theme=gr.themes.Soft()` parameter from `gr.Blocks()`
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### 3. Dependency Versions Stabilized β
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**Updated versions** (all confirmed compatible):
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```
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gradio==4.16.0 # Stable version with required features
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opencv-python-headless==4.8.1.78 # Headless for serverless deployment
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numpy==1.24.3 # Compatible with MediaPipe
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mediapipe==0.10.14 # Latest available version
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yt-dlp==2023.7.6 # YouTube video downloading
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pandas==2.0.3 # Data handling for results table
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```
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## Files Modified
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1. **`app.py`** - Fixed Gradio component parameters
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2. **`requirements.txt`** - Updated to stable, compatible versions
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3. **`README.md`** - Updated SDK version to match requirements
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4. **`test_deployment.py`** - Enhanced error detection for compatibility issues
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## Deployment Ready β
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The application should now deploy successfully on Hugging Face Spaces without the TypeError issues.
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### Test Before Deployment
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```bash
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python test_deployment.py
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```
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### Deploy to Hugging Face Spaces
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1. Go to https://huggingface.co/spaces
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2. Create new Space β SDK: Gradio
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3. Upload: `app.py`, `requirements.txt`, `README.md`
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4. Wait for automatic deployment
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## What Was Preserved
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- β
Full functionality (YouTube + file upload)
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- β
Video analysis with MediaPipe pose estimation
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- β
Progress tracking during processing
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- β
Detailed results with performance insights
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- β
Beautiful interface design (just without some newer Gradio features)
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## Alternative UI Information
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Instead of the `info` parameter tooltips, the app now uses:
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- Markdown text below input fields for guidance
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- Clear labels and placeholders
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- Helpful text in separate markdown components
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This provides the same user experience while maintaining compatibility with the deployed Gradio version.
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GRADIO_5_UPDATES.md
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# π Gradio 5.45.0 Updates Applied
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## Modern Features Restored
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With Gradio 5.45.0, I've restored all the modern UI features that enhance the user experience:
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### β¨ **Features Re-enabled**
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1. **Component Info Parameters** β
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- `gr.Number(info="...")` - Tooltip for height input
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- `gr.Textbox(info="...")` - Guidance for YouTube URL
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- `gr.File(info="...")` - Help text for file upload
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2. **Enhanced Button Styling** β
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- `size="lg"` parameter for larger, more prominent buttons
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- Better visual hierarchy
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3. **Modern Theme** β
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- `theme=gr.themes.Soft()` for a polished, professional appearance
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- Improved visual design
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### π¦ **Updated Dependencies**
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```
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gradio==5.45.0 # Latest modern version
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opencv-python-headless==4.10.0.84
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numpy==1.26.4 # Latest stable
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mediapipe==0.10.21 # Latest available
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yt-dlp==2024.8.6 # Latest YouTube downloader
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pandas==2.2.2 # Latest data processing
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```
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### π― **User Experience Improvements**
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- **Intuitive Tooltips**: Hover info for all input fields
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- **Professional Design**: Modern theme with soft styling
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- **Better Visual Hierarchy**: Large buttons for primary actions
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- **Responsive Layout**: Works perfectly across devices
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### π§ **Technical Benefits**
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- **Latest Features**: Access to newest Gradio capabilities
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- **Performance**: Improved rendering and responsiveness
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- **Stability**: Mature, well-tested codebase
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- **Future-Proof**: Ready for upcoming Gradio features
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## Deployment Ready β
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The application now uses the latest Gradio 5.45.0 with all modern features enabled. This provides the best possible user experience while maintaining full compatibility with Hugging Face Spaces.
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### Test the Modern Interface
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```bash
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python test_deployment.py
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```
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### Deploy with Latest Features
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Upload to Hugging Face Spaces:
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- `app.py` (with modern Gradio features)
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- `requirements.txt` (Gradio 5.45.0)
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- `README.md` (updated SDK version)
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The deployment will now use the latest Gradio capabilities for the best user experience!
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deploy_hf.py
CHANGED
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print("β
README.md has correct HF Spaces format")
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#
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print("\nπ
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print(
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print("β
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try:
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import cv2
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print("β
OpenCV")
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except ImportError:
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print("β OpenCV not installed. Run: pip install -r requirements.txt")
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sys.exit(1)
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try:
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import mediapipe
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print("β
MediaPipe")
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except ImportError:
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print("β MediaPipe not installed. Run: pip install -r requirements.txt")
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sys.exit(1)
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try:
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import yt_dlp
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print("β
yt-dlp")
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except ImportError:
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print("β yt-dlp not installed. Run: pip install -r requirements.txt")
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sys.exit(1)
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print("\nπ All dependencies are available!")
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print("β
README.md has correct HF Spaces format")
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# Run the comprehensive test
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print("\nπ Running comprehensive tests...")
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success, output = run_command("python test_deployment.py")
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if success:
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print("β
All dependency tests passed!")
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else:
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print("β Dependency tests failed.")
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print("π§ Try running: pip install -r requirements.txt")
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print("π Or run: python test_deployment.py for detailed output")
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sys.exit(1)
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print("\nπ All dependencies are available!")
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requirements.txt
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-
gradio
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opencv-python-headless
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numpy
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mediapipe
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-
yt-dlp
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-
pandas
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gradio==5.45.0
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opencv-python-headless==4.10.0.84
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numpy==1.26.4
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mediapipe==0.10.21
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yt-dlp==2024.8.6
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pandas==2.2.2
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test_deployment.py
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#!/usr/bin/env python3
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"""
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Test script to verify all dependencies are working before deployment
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"""
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def test_imports():
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"""Test all required imports."""
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print("π§ͺ Testing imports...")
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try:
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import gradio as gr
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print(f"β
Gradio {gr.__version__}")
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except ImportError as e:
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| 14 |
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print(f"β Gradio import failed: {e}")
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return False
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try:
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import cv2
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| 19 |
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print(f"β
OpenCV {cv2.__version__}")
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| 20 |
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except ImportError as e:
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| 21 |
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print(f"β OpenCV import failed: {e}")
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return False
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| 23 |
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| 24 |
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try:
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import numpy as np
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print(f"β
NumPy {np.__version__}")
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except ImportError as e:
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| 28 |
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print(f"β NumPy import failed: {e}")
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return False
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| 30 |
+
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| 31 |
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try:
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| 32 |
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import mediapipe as mp
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| 33 |
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print(f"β
MediaPipe {mp.__version__}")
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| 34 |
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except ImportError as e:
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| 35 |
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print(f"β MediaPipe import failed: {e}")
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return False
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| 37 |
+
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| 38 |
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try:
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| 39 |
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import yt_dlp
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| 40 |
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print(f"β
yt-dlp {yt_dlp.version.__version__}")
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| 41 |
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except ImportError as e:
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| 42 |
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print(f"β yt-dlp import failed: {e}")
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| 43 |
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return False
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| 44 |
+
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| 45 |
+
try:
|
| 46 |
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import pandas as pd
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| 47 |
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print(f"β
Pandas {pd.__version__}")
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| 48 |
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except ImportError as e:
|
| 49 |
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print(f"β Pandas import failed: {e}")
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| 50 |
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return False
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| 51 |
+
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return True
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| 54 |
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def test_app_creation():
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| 55 |
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"""Test that the app can be created without errors."""
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| 56 |
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print("\nποΈ Testing app creation...")
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| 57 |
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| 58 |
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try:
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from app import create_interface
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| 60 |
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app = create_interface()
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| 61 |
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print("β
App created successfully")
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| 62 |
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print("β
Gradio interface compatible")
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| 63 |
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return True
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| 64 |
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except TypeError as e:
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| 65 |
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if "unexpected keyword argument" in str(e):
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| 66 |
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print(f"β Gradio compatibility issue: {e}")
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| 67 |
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print("π‘ This usually means a Gradio component parameter is not supported")
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| 68 |
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else:
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| 69 |
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print(f"β Type error in app creation: {e}")
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| 70 |
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return False
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| 71 |
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except Exception as e:
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| 72 |
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print(f"β App creation failed: {e}")
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| 73 |
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return False
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| 74 |
+
|
| 75 |
+
def test_mediapipe_initialization():
|
| 76 |
+
"""Test MediaPipe pose initialization."""
|
| 77 |
+
print("\nπ€ Testing MediaPipe pose initialization...")
|
| 78 |
+
|
| 79 |
+
try:
|
| 80 |
+
import mediapipe as mp
|
| 81 |
+
mp_pose = mp.solutions.pose
|
| 82 |
+
pose = mp_pose.Pose(
|
| 83 |
+
static_image_mode=False,
|
| 84 |
+
model_complexity=1,
|
| 85 |
+
enable_segmentation=False
|
| 86 |
+
)
|
| 87 |
+
pose.close()
|
| 88 |
+
print("β
MediaPipe pose initialized successfully")
|
| 89 |
+
return True
|
| 90 |
+
except Exception as e:
|
| 91 |
+
print(f"β MediaPipe pose initialization failed: {e}")
|
| 92 |
+
return False
|
| 93 |
+
|
| 94 |
+
def main():
|
| 95 |
+
print("πββοΈ Athletic Ability Analysis - Deployment Test")
|
| 96 |
+
print("=" * 50)
|
| 97 |
+
|
| 98 |
+
all_tests_passed = True
|
| 99 |
+
|
| 100 |
+
# Test imports
|
| 101 |
+
if not test_imports():
|
| 102 |
+
all_tests_passed = False
|
| 103 |
+
|
| 104 |
+
# Test MediaPipe initialization
|
| 105 |
+
if not test_mediapipe_initialization():
|
| 106 |
+
all_tests_passed = False
|
| 107 |
+
|
| 108 |
+
# Test app creation
|
| 109 |
+
if not test_app_creation():
|
| 110 |
+
all_tests_passed = False
|
| 111 |
+
|
| 112 |
+
print("\n" + "=" * 50)
|
| 113 |
+
if all_tests_passed:
|
| 114 |
+
print("π All tests passed! Ready for deployment.")
|
| 115 |
+
print("\nπ Deployment files verified:")
|
| 116 |
+
import os
|
| 117 |
+
files = ["app.py", "requirements.txt", "README.md"]
|
| 118 |
+
for file in files:
|
| 119 |
+
if os.path.exists(file):
|
| 120 |
+
print(f"β
{file}")
|
| 121 |
+
else:
|
| 122 |
+
print(f"β {file} missing")
|
| 123 |
+
|
| 124 |
+
print("\nπ You can now deploy to Hugging Face Spaces:")
|
| 125 |
+
print("1. Go to https://huggingface.co/spaces")
|
| 126 |
+
print("2. Create a new Space with SDK: Gradio")
|
| 127 |
+
print("3. Upload app.py, requirements.txt, and README.md")
|
| 128 |
+
print("4. Wait for automatic deployment")
|
| 129 |
+
|
| 130 |
+
else:
|
| 131 |
+
print("β Some tests failed. Please fix the issues before deployment.")
|
| 132 |
+
print("\nπ§ Try running: pip install -r requirements.txt")
|
| 133 |
+
|
| 134 |
+
if __name__ == "__main__":
|
| 135 |
+
main()
|