commit 3

README.md

@@ -1,6 +1,6 @@
----
+---
 title: SmolVLM2 Video Highlights
-emoji: ":movie_camera:"
+emoji: "🎬"
 colorFrom: blue
 colorTo: purple
 sdk: docker
@@ -14,16 +14,16 @@ Generate intelligent video highlights using HuggingFace's segment-based approach
 
 This is a FastAPI service that uses HuggingFace's proven segment-based classification method with SmolVLM2-256M-Video-Instruct for reliable, consistent highlight generation.
 
-🚀 Features
+🚀 Features
 Segment-Based Analysis: Processes videos in fixed 5-second segments for consistent AI classification
 Dual Criteria Generation: Creates two different highlight criteria sets and selects the most selective one
 SmolVLM2-256M-Video-Instruct: Faster processing with specialized video understanding
 Visual Effects: Optional fade transitions between segments for professional-quality output
 REST API: Upload videos and get generated video description + analysis file path
-🔗 API Endpoints
+🔗 API Endpoints
 POST /upload-video - Upload video and receive analysis response
 GET /health - Health check
-📱 Usage
+📱 Usage
 Via API
 # Upload video with optional parameters
 curl -X POST \
@@ -43,27 +43,28 @@ Example response:
 Via Android App
 Use the provided Android client code to integrate with your mobile app.
 
-⚙️ Configuration
+⚙️ Configuration
 Default settings:
 
 Segment Length: 5 seconds (fixed segments for consistent classification)
 Model: SmolVLM2-256M-Video-Instruct (faster processing)
 Effects: Enabled (fade transitions between segments)
 Dual Criteria: Two prompt variations for robust selection
-🛠️ Technology Stack
+🛠️ Technology Stack
 SmolVLM2-256M-Video-Instruct: Efficient vision-language model optimized for video understanding
 HuggingFace Transformers: Latest transformer models and inference
 FastAPI: Modern web framework for APIs
 FFmpeg: Video processing with advanced filter support
 PyTorch: Deep learning framework with device optimization
-🎯 Perfect For
+🎯 Perfect For
 Social media content creators
 Educational video processing
 Meeting/lecture summarization
 Sports highlight generation
 Entertainment content curation
-�� License
+�� License
 Apache 2.0 - Free for commercial and personal use
 
-🤝 Contributing
-Built with ❤️ using Hugging Face Transformers and open-source AI models.
+🤝 Contributing
+Built with ❤️ using Hugging Face Transformers and open-source AI models.
+