Update app.py

app.py

@@ -234,7 +234,7 @@ def analyze_stream(prompt, stream, chatbot):
             break
         frames.append(frame)
         
-        # Sample the frames every 5 seconds
+        # Sample the frames every LENGTH seconds
         if time.time() - start_time >= LENGTH:
             # Start a new thread for processing the video clip
             Thread(target=process_clip, args=(prompt, frames.copy(), chatbot,)).start()
@@ -253,7 +253,7 @@ def analyze_video_file(prompt, video_path, chatbot):
     
     # Get video properties
     fps = int(cap.get(cv2.CAP_PROP_FPS))  # Frames per second
-    frames_per_chunk = fps * LENGTH  # Number of frames per 5-second chunk
+    frames_per_chunk = fps * LENGTH  # Number of frames per LENGTH-second chunk
     
     frames = []
     chunk = 0
@@ -268,13 +268,13 @@ def analyze_video_file(prompt, video_path, chatbot):
                 break
             frames.append(frame)
             
-            # Split the video into chunks of frames corresponding to 5 seconds
+            # Split the video into chunks of frames corresponding to LENGTH seconds
             if len(frames) >= frames_per_chunk:
                 futures.append(executor.submit(process_clip_from_file, prompt, frames.copy(), chatbot, fps, video_path, chunk))
                 frames = []
                 chunk+=1
         
-        # If any remaining frames that are less than 5 seconds, process them as a final chunk
+        # If any remaining frames that are less than LENGTH seconds, process them as a final chunk
         if len(frames) > 0:
             futures.append(executor.submit(process_clip_from_file, prompt, frames.copy(), chatbot, fps, video_path, chunk))
             chunk+=1
@@ -358,12 +358,12 @@ with gr.Blocks(title="Conntour", fill_height=True) as demo:
             start_btn.click(analyze_stream, inputs=[prompt, stream, chatbot], outputs=[chatbot], queue=True)
             stop_btn.click(stop_capture_func)
     # Add new API endpoint (without UI components)
-    api_interface = gr.Interface(
-        fn=analyze_video_file_sync,
-        inputs=[gr.Textbox(label="Prompt"), gr.Video(label="Video File")],
-        outputs=gr.JSON(label="Captured Events"),
-        live=False,
-    )
-    demo.add_component(api_interface)
+    with gr.Row(visible=False) as hidden_api:
+        api_prompt = gr.Textbox(label="Prompt")
+        api_video = gr.Video(label="Video File")
+        api_output = gr.JSON(label="Captured Events")
+        api_btn = gr.Button("Analyze Video File")
+
+    api_btn.click(analyze_video_file_sync, inputs=[api_prompt, api_video], outputs=[api_output])
 
 demo.launch(favicon_path='favicon.ico', auth=(user_name, password))