Update app.py

app.py

@@ -3,6 +3,7 @@ import requests
 import requests
 from pytube import YouTube
 import os
+from twelvelabs.models.task import Task
 
 # Streamlit interface setup
 st.title('Video Summary Interface')
@@ -35,6 +36,10 @@ with tab2:
     
     st.title('Video Upload and Processing Interface')
     
+    # Setup your Twelve Labs client
+    # Assuming 'client' is set up here (use your actual client initialization)
+    # client = TwelveLabsClient(api_key="your_api_key")
+    
     # Container for video input
     with st.container():
         st.header("Video Input")
@@ -56,16 +61,20 @@ with tab2:
                 st.warning("Please upload a video file or enter a YouTube URL.")
                 st.stop()
     
-            # Assume 'client' and 'index_id' are set correctly
             print(f"Uploading {video_path}")
-            # Mock-up of task creation as we can't interact with client directly in this example
-            task_id = "mock_task_id"
-            video_id = "mock_video_id"
-            st.success(f"Task id={task_id}")
-            st.success(f"Uploaded {video_path}. The unique identifier of your video is {video_id}.")
-    
-    # Utility functions and actual usage of these would depend on setup outside this script
-    # Ensure you replace placeholders and handle authentication correctly
+            task = client.task.create(index_id="<YOUR_INDEX_ID>", file=video_path, language="en")
+            st.success(f"Task id={task.id}")
+    
+            # Optional: Monitor the video indexing process
+            def on_task_update(task: Task):
+                st.write(f"Status={task.status}")
+    
+            task.wait_for_done(callback=on_task_update)
+    
+            if task.status != "ready":
+                st.error(f"Indexing failed with status {task.status}")
+            else:
+                st.success(f"Uploaded {video_path}. The unique identifier of your video is {task.video_id}.")
 
 with tab3:
     st.header("Video Indexer")