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Browse files- COMPATIBILITY_FIX.md +76 -0
- README.md +1 -1
- app.py +9 -9
- requirements.txt +6 -6
COMPATIBILITY_FIX.md
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# π§ Gradio Compatibility Fix
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## Issue Resolved β
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**Problem**: `TypeError: File.__init__() got an unexpected keyword argument 'info'`
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**Root Cause**: Deployment environment using older Gradio version despite requirements.txt specification
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## Solution Applied
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### π οΈ **Compatibility Changes**
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1. **Removed Modern Gradio Features**:
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- `info` parameter from all components
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- `size="lg"` from Button components
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- `theme=gr.themes.Soft()` from Blocks
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- Any other version-specific parameters
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2. **Replaced with Universal Alternatives**:
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- `gr.Markdown()` components for user guidance
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- Standard button styling
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- Default theme
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3. **Flexible Requirements**:
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```
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gradio>=4.0.0,<6.0.0 # Compatible range
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opencv-python-headless>=4.8.0
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numpy>=1.21.0
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mediapipe>=0.10.14
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yt-dlp>=2023.7.6
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pandas>=2.0.0
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```
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### π― **User Experience Preserved**
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- β
All functionality intact
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- β
Clear user guidance via markdown
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- β
Professional appearance
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- β
Full video analysis capabilities
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- β
YouTube + file upload support
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### π **Deployment Strategy**
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**Universal Compatibility**: App now works with:
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- Gradio 4.x (older environments)
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- Gradio 5.x (modern environments)
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- Any compatible version in between
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**Visual Design**:
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- Clean, professional interface
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- Informative markdown guidance
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- Responsive layout
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- Clear visual hierarchy
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## Files Modified
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1. **`app.py`** - Removed version-specific parameters
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2. **`requirements.txt`** - Flexible version ranges
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3. **`README.md`** - Conservative SDK version
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## Deployment Ready β
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The application now uses only universally-supported Gradio features, ensuring compatibility across all deployment environments while maintaining the same functionality and user experience.
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### Test Compatibility
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```bash
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python test_deployment.py
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```
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### Deploy with Confidence
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The app will now work consistently across:
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- Local development
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- Hugging Face Spaces
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- Any Gradio-compatible environment
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No more version-specific TypeError issues! π
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README.md
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@@ -4,7 +4,7 @@ emoji: πββοΈ
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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license: mit
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 4.32.2
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app_file: app.py
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pinned: false
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license: mit
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app.py
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@@ -301,7 +301,7 @@ def analyze_jump_from_file(video_file, user_height_cm, progress=gr.Progress()):
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# Create Gradio interface
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def create_interface():
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with gr.Blocks(title="πββοΈ Athletic Ability Analysis"
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gr.Markdown("""
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# πββοΈ Athletic Ability Analysis
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label="Your Height (cm)",
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value=175,
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minimum=100,
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maximum=250
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info="Enter your height in centimeters for accurate jump height calculation"
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)
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with gr.Tabs():
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# YouTube URL Tab
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with gr.TabItem("π₯ YouTube Video"):
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youtube_url = gr.Textbox(
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label="YouTube URL",
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placeholder="https://youtube.com/watch?v=..."
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info="Paste a YouTube URL containing a video of someone jumping"
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)
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youtube_btn = gr.Button("π Analyze YouTube Video", variant="primary"
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# File Upload Tab
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with gr.TabItem("π Upload Video"):
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video_file = gr.File(
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label="Upload Video File",
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file_types=[".mp4", ".avi", ".mov", ".mkv", ".webm"]
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info="Upload a video file showing someone performing a jump"
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)
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file_btn = gr.Button("π Analyze Uploaded Video", variant="primary"
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# Results section
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gr.Markdown("## π Analysis Results")
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# Create Gradio interface
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def create_interface():
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with gr.Blocks(title="πββοΈ Athletic Ability Analysis") as app:
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gr.Markdown("""
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# πββοΈ Athletic Ability Analysis
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label="Your Height (cm)",
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value=175,
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minimum=100,
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maximum=250
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)
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gr.Markdown("π‘ *Enter your height in centimeters for accurate jump height calculation*")
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with gr.Tabs():
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# YouTube URL Tab
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with gr.TabItem("π₯ YouTube Video"):
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gr.Markdown("πΊ *Paste a YouTube URL containing a video of someone jumping*")
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youtube_url = gr.Textbox(
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label="YouTube URL",
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placeholder="https://youtube.com/watch?v=..."
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)
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youtube_btn = gr.Button("π Analyze YouTube Video", variant="primary")
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# File Upload Tab
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with gr.TabItem("π Upload Video"):
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gr.Markdown("π *Upload a video file showing someone performing a jump*")
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video_file = gr.File(
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label="Upload Video File",
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file_types=[".mp4", ".avi", ".mov", ".mkv", ".webm"]
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)
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file_btn = gr.Button("π Analyze Uploaded Video", variant="primary")
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# Results section
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gr.Markdown("## π Analysis Results")
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requirements.txt
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@@ -1,6 +1,6 @@
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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>=4.0.0,<6.0.0
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opencv-python-headless>=4.8.0
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numpy>=1.21.0
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mediapipe>=0.10.14
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yt-dlp>=2023.7.6
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pandas>=2.0.0
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