Create app.py

app.py

@@ -0,0 +1,53 @@
+import gradio as gr
+import cv2
+import numpy as np
+import os
+from moviepy.editor import ImageSequenceClip
+
+def generate_video(photo, audio):
+    # Save temporary files
+    photo_path = "user_photo.jpg"
+    audio_path = "user_audio.wav"
+    cv2.imwrite(photo_path, photo)
+    audio.write_audiofile(audio_path)
+    
+    # Create simple talking animation (face stays static)
+    frames = []
+    for i in range(30):  # 1 second video at 30fps
+        frame = photo.copy()
+        
+        # Add simple mouth movement (sin wave)
+        y_offset = int(10 * np.sin(i/3))
+        cv2.rectangle(frame, 
+                     (100, 150 + y_offset), 
+                     (200, 250 - y_offset), 
+                     (0, 0, 0), -1)
+        
+        frames.append(frame)
+    
+    # Save video
+    video_path = "output.mp4"
+    clip = ImageSequenceClip([cv2.cvtColor(f, cv2.COLOR_BGR2RGB) for f in frames], 
+                           fps=30)
+    clip.write_videofile(video_path, codec="libx264", audio=audio_path)
+    
+    return video_path
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    gr.Markdown("## 🎥 Video Resume Generator")
+    
+    with gr.Row():
+        photo_input = gr.Image(label="Upload Your Photo", type="numpy")
+        audio_input = gr.Audio(label="Record/Upload Audio", type="filepath")
+    
+    generate_btn = gr.Button("Generate Video")
+    video_output = gr.Video(label="Result")
+    
+    generate_btn.click(
+        fn=generate_video,
+        inputs=[photo_input, audio_input],
+        outputs=video_output
+    )
+
+demo.launch()