Update app.py

app.py

@@ -38,6 +38,8 @@ except Exception as e:
     model_weights = None
 
 # Placeholder function - Replace with actual inference logic
+import random
+
 def generate_video(prompt):
     """
     Generates a placeholder video using the model.
@@ -46,18 +48,27 @@ def generate_video(prompt):
     if model_weights is None:
         return "Model failed to load. Please check the logs."
 
-    # Simulate an image output (Replace this with actual video frame generation)
-    img = Image.new("RGB", (512, 512), color="black")
+    # Create a random color image as a frame
+    width, height = 512, 512
+    img = Image.new("RGB", (width, height), 
+                    color=(random.randint(0, 255), 
+                           random.randint(0, 255), 
+                           random.randint(0, 255)))  # Random color
+
+    # Transform the image to a tensor and convert it to a numpy array
     transform = transforms.ToTensor()
     frame = (transform(img).permute(1, 2, 0).numpy() * 255).astype(np.uint8)
 
-    # Create a fake video with repeated frames
-    frames = [frame] * 16  # 16 repeated frames (Replace with actual video frames)
+    # Create a fake video with 16 frames, all having the same color
+    frames = [frame] * 16  # 16 repeated frames with different colors
     output_path = "output.mp4"
+    
+    # Save frames as a video with 8 fps
     imageio.mimsave(output_path, frames, fps=8)
 
     return output_path
 
+
 # Gradio UI
 iface = gr.Interface(
     fn=generate_video,