Create app.py

app.py

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+import gradio as gr
+import subprocess
+import os
+
+def process_video_and_audio(face_path, audio_path):
+    # Define the directory to store the processed video
+    results_dir = "results"
+    os.makedirs(results_dir, exist_ok=True)  # Create the directory if it doesn't exist
+
+    # Extract the filename of the face video
+    video_name = os.path.basename(face_path)
+
+    # Define the output file path for the processed video
+    outfile_path = os.path.join(results_dir, video_name)
+
+    print(f"Processing face video: {face_path}, audio: {audio_path}, and saving to: {outfile_path}")
+
+    # Define the command to run
+    command = f"python3 inference.py --face {face_path} --audio {audio_path} --outfile {outfile_path}"
+
+    try:
+        # Run the command using subprocess.run
+        result = subprocess.run(command, shell=True, capture_output=True, check=True, text=True)
+
+        # Print the output of the command
+        print("Output:", result.stdout)
+
+        # Check if the command was successful
+        if result.returncode == 0:
+            print("Processing complete.")
+            return outfile_path
+        else:
+            return f"Error occurred: {result.stderr}"
+    except subprocess.CalledProcessError as e:
+        return f"Error occurred: {e.stderr}"
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=process_video_and_audio,
+    inputs=[gr.Video(label="Face Video"), gr.File(type='filepath',label="Audio")],
+    outputs=gr.Video(label="Processed Video"),
+    title="Video LipSyncing"
+)
+
+# Launch the Gradio interface
+iface.launch()