Update app.py

app.py

@@ -91,17 +91,19 @@ Produce a single, continuous, structured description following all the above rul
 
 
 # --- 3. The Main Workflow Function for Gradio ---
-def generate_sfx(video_path):
+def generate_sfx(video_file_object):
     """
     This single function runs your entire workflow.
-    Gradio will pass the user's uploaded video path to this function.
+    Gradio will pass the user's uploaded video as a file object.
     """
     if not all([GOOGLE_API_KEY, ELEVENLABS_API_KEY, LLAMA_405B_KEY, llama_client]):
-        raise gr.Error("API keys are not configured. The app admin needs to set the secrets.")
+        raise gr.Error("API keys are not configured...")
 
     try:
-        # --- Step 0: Read the uploaded video file ---
-        video_bytes = open(video_path, 'rb').read()
+        # --- THIS IS THE NEW, FIXED LINE ---
+        # We now read directly from the file object's path
+        with open(video_file_object.name, 'rb') as f:
+            video_bytes = f.read()
     except Exception as e:
         raise gr.Error(f"Failed to read video file: {e}")
 
@@ -201,7 +203,7 @@ demo = gr.Interface(
     fn=generate_sfx,  # The main function to call
     
     # Input component: A video uploader
-    inputs=gr.Video(label="Upload Your Video Clip"),
+    inputs=gr.Video(label="Upload Your Video Clip", type="file"),
     
     # Output components: A list matching the function's return values
     outputs=[