Update app.py

app.py

@@ -1,52 +1,52 @@
 import os
-import torch
 from moviepy.editor import VideoFileClip, concatenate_videoclips
-from transformers import Video2TextProcessor, Video2TextModel
+from transformers import VideoProcessor, VideoModel  # Replace with actual imports if needed
 
-# Set your model name here
-MODEL_NAME = "your_chosen_model"
-
-# Load the Hugging Face model and processor
-try:
-    model = Video2TextModel.from_pretrained(MODEL_NAME)
-    processor = Video2TextProcessor.from_pretrained(MODEL_NAME)
-except Exception as e:
-    print(f"Error loading model or processor: {e}")
-    exit(1)
+# Function to load the Hugging Face model and processor
+def load_model(model_name):
+    try:
+        model = VideoModel.from_pretrained(model_name)
+        processor = VideoProcessor.from_pretrained(model_name)
+        return model, processor
+    except Exception as e:
+        print(f"Error loading model: {e}")
+        return None, None
 
+# Function to generate the crossover video
 def generate_crossover_video(video1_path, video2_path, output_path):
-    """Generate a crossover video from two input videos."""
-    
-    # Check if video files exist
     if not os.path.isfile(video1_path):
         print(f"Error: {video1_path} does not exist.")
         return
+    print(f"Processing Video 1: {video1_path}")
+    
     if not os.path.isfile(video2_path):
         print(f"Error: {video2_path} does not exist.")
         return
+    print(f"Processing Video 2: {video2_path}")
 
-    try:
-        # Load video clips
-        clip1 = VideoFileClip(video1_path)
-        clip2 = VideoFileClip(video2_path)
-
-        # Here you'd process the clips with your model
-        # Example: Generate a video cross using the model (this is hypothetical)
-        processed_clip1 = processor(clip1)
-        processed_clip2 = processor(clip2)
-
-        # Combine clips into one video
-        final_clip = concatenate_videoclips([processed_clip1, processed_clip2])
-        final_clip.write_videofile(output_path)
-        print(f"Crossover video saved to {output_path}")
+    # Load video clips
+    clip1 = VideoFileClip(video1_path)
+    clip2 = VideoFileClip(video2_path)
     
-    except Exception as e:
-        print(f"Error during video processing: {e}")
+    # For now, just concatenating the clips directly
+    final_clip = concatenate_videoclips([clip1, clip2])
+    
+    # Write the output video file
+    final_clip.write_videofile(output_path, codec='libx264')
+    print(f"Crossover video saved to {output_path}")
 
 def main():
     video1_path = input("Enter the path to the first video: ")
     video2_path = input("Enter the path to the second video: ")
     output_path = input("Enter the output file path (e.g., crossover_output.mp4): ")
+    
+    model_name = "your_model_name"  # Replace with the actual model name you want to use
+    model, processor = load_model(model_name)
+
+    if model is None or processor is None:
+        print("Model loading failed. Exiting the application.")
+        return
+
     generate_crossover_video(video1_path, video2_path, output_path)
 
 if __name__ == "__main__":