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README.md

@@ -4,7 +4,7 @@ emoji: 🎬
 colorFrom: blue
 colorTo: purple
 sdk: gradio
-sdk_version: 4.32.0
+sdk_version: 4.44.1
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

@@ -334,15 +334,13 @@ def process_video_with_minicpm(video_file):
 
 # Create Gradio interface
 def create_interface():
-    with gr.Blocks(title="MiniCPM-o Video Analyzer", theme=gr.themes.Soft()) as demo:
-        # Show model status
-        if model and tokenizer:
-            model_status = "✅ **Model Status**: MiniCPM-o 2.6 loaded successfully"
-            model_color = "green"
-        else:
-            model_status = "❌ **Model Status**: MiniCPM-o 2.6 not loaded (check logs)"
-            model_color = "red"
-        
+    # Show model status
+    if model and tokenizer:
+        model_status = "✅ **Model Status**: MiniCPM-o 2.6 loaded successfully"
+    else:
+        model_status = "❌ **Model Status**: MiniCPM-o 2.6 not loaded (check logs)"
+    
+    with gr.Blocks(title="MiniCPM-o Video Analyzer") as demo:
         gr.Markdown(f"""
         # 🎬 MiniCPM-o Video Analyzer
         
@@ -350,72 +348,52 @@ def create_interface():
         
         {model_status}
         
-        Upload a marketing video (up to 30 seconds) to get:
-        - 🎯 Frame-by-frame narrative analysis
-        - 🎨 Visual psychology insights  
-        - 🚀 Marketing effectiveness analysis
-        - 📊 Comprehensive summary
+        Upload a marketing video (up to 30 seconds) to get comprehensive AI analysis.
         
         *Powered by MiniCPM-o 2.6 - Local multimodal analysis*
         """)
         
-        with gr.Row():
-            with gr.Column(scale=1):
-                video_input = gr.Video(
-                    label="Upload Marketing Video",
-                    sources=["upload"],
-                    include_audio=True
-                )
-                
-                analyze_btn = gr.Button(
-                    "🚀 Analyze with MiniCPM-o", 
-                    variant="primary",
-                    size="lg"
-                )
-                
-                gr.Markdown("""
-                **Tips:**
-                - Upload videos up to 30 seconds for optimal analysis
-                - MP4 format recommended
-                - Include audio for comprehensive analysis
-                """)
-            
-            with gr.Column(scale=2):
-                with gr.Tabs():
-                    with gr.TabItem("📊 Analysis Report"):
-                        report_output = gr.Markdown(
-                            label="Comprehensive Analysis Report",
-                            value="Upload a video and click 'Analyze with MiniCPM-o' to get started."
-                        )
-                    
-                    with gr.TabItem("🎬 Frame Analysis"):
-                        frame_output = gr.Markdown(
-                            label="Frame-by-Frame Analysis",
-                            value="Detailed analysis of each frame will appear here."
-                        )
-                    
-                    with gr.TabItem("📝 Summary"):
-                        summary_output = gr.Markdown(
-                            label="Executive Summary",
-                            value="Marketing effectiveness summary will appear here."
-                        )
+        # Simple layout
+        video_input = gr.Video(label="Upload Marketing Video")
+        analyze_btn = gr.Button("🚀 Analyze with MiniCPM-o", variant="primary")
+        
+        gr.Markdown("**Results will appear below:**")
+        
+        report_output = gr.Textbox(
+            label="📊 Analysis Report",
+            lines=10,
+            value="Upload a video and click 'Analyze with MiniCPM-o' to get started.",
+            interactive=False
+        )
+        
+        frame_output = gr.Textbox(
+            label="🎬 Frame Analysis", 
+            lines=8,
+            value="Detailed analysis of each frame will appear here.",
+            interactive=False
+        )
+        
+        summary_output = gr.Textbox(
+            label="📝 Executive Summary",
+            lines=6,
+            value="Marketing effectiveness summary will appear here.",
+            interactive=False
+        )
         
         # Event handlers
         analyze_btn.click(
             fn=process_video_with_minicpm,
-            inputs=[video_input],
+            inputs=video_input,
             outputs=[report_output, frame_output, summary_output]
         )
         
-        # Examples
         gr.Markdown("""
         ## 🎯 What This Analysis Provides
         
         - **Narrative Analysis**: Story structure and progression
-        - **Visual Psychology**: Color, composition, and emotional triggers
+        - **Visual Psychology**: Color, composition, and emotional triggers  
         - **Marketing Mechanics**: Persuasion techniques and conversion strategies
         - **Attention Engineering**: How the video captures and maintains viewer focus
-        - **Comparative Insights**: How this compares to your existing GPT-4o analysis
         """)
     
     return demo
@@ -425,6 +403,5 @@ if __name__ == "__main__":
     demo = create_interface()
     demo.launch(
         server_name="0.0.0.0",
-        server_port=7860,
-        share=True
+        server_port=7860
     ) 

requirements.txt

@@ -1,6 +1,7 @@
 torch>=2.1.0
 transformers>=4.35.0
-gradio==4.32.0
+gradio==4.44.1
+torchaudio>=2.1.0
 opencv-python>=4.8.0
 numpy>=1.24.0
 pillow>=10.0.0