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app.py

@@ -1,68 +1,30 @@
 import gradio as gr
-import numpy as np
 import time
 
-def generate_video(image, audio, prompt):
-    """Generate talking video from image and audio"""
+def process_text(text):
+    """Simple text processing function"""
+    if not text:
+        return "❌ Please enter some text"
     
-    if image is None:
-        return "❌ Please upload an image"
-    
-    if audio is None:
-        return "❌ Please upload an audio file"
-    
-    # Simulate processing time
     time.sleep(1)
     
-    return f"""✅ Video generation request processed!
-
-**Input received:**
-- Image: ✅ Uploaded
-- Audio: ✅ Uploaded  
-- Prompt: {prompt}
+    return f"""✅ Text processed successfully!
 
-**Note:** This is a demo interface. The actual video generation would require:
-1. Loading the MeiGen-MultiTalk model
-2. Processing the input image and audio
-3. Generating the video using the model
-4. Returning the generated video file
+**Input received:** {text}
 
-The model files are not included in this demo due to size constraints.
-Ready for implementation! 🎬"""
+**Note:** This is a basic demo interface for MeiGen-MultiTalk.
+Ready for image and audio integration! 🎬"""
 
-# Simple interface with Gradio 3.x
+# Minimal interface
 iface = gr.Interface(
-    fn=generate_video,
-    inputs=[
-        gr.Image(type="pil", label="Reference Image"),
-        gr.Audio(label="Audio File"),
-        gr.Textbox(label="Prompt", value="A person talking", placeholder="Describe the desired video...")
-    ],
-    outputs=gr.Textbox(label="Generation Result", lines=10),
+    fn=process_text,
+    inputs=gr.Textbox(label="Enter text", placeholder="Type something..."),
+    outputs=gr.Textbox(label="Result", lines=5),
     title="🎬 MeiGen-MultiTalk Demo",
-    description="Generate talking videos from images and audio using AI",
-    article="""
-    ### 📋 Tips for Best Results
-    - **Image**: Use clear, front-facing photos with good lighting
-    - **Audio**: Ensure clean audio without background noise  
-    - **Prompt**: Be specific about the desired talking style
-    
-    ### 🚀 How it Works
-    1. Upload a reference image (photo of person who will be speaking)
-    2. Upload an audio file
-    3. Enter a descriptive prompt
-    4. Click Submit to process
-    
-    *This is a demo interface ready for model integration.*
-    """,
-    examples=[
-        [None, None, "A person speaking naturally and expressively"],
-        [None, None, "Someone giving a presentation with gestures"],
-        [None, None, "A friendly conversation with smiles"]
-    ]
+    description="Basic demo interface - text processing test"
 )
 
 if __name__ == "__main__":
-    iface.launch(share=True)
+    iface.launch()
 
-# Updated for compatibility
+# Minimal test version