1

app.py

@@ -80,7 +80,11 @@ def download_video(video_url):
     
     return video_path
 
-
+def api_process_video(video_url):
+    
+    video_path = download_video(video_url)
+        
+    return get_frames_from_video(video_path)
 
 # extract frames from upload video
 def get_frames_from_video(video_input, video_state):
@@ -489,6 +493,7 @@ with gr.Blocks() as iface:
                         video_input = gr.Video(autosize=True)
                         with gr.Column():
                             video_info = gr.Textbox(label="Video Info")
+                            video_path = gr.Textbox(label="Video Path")
                             resize_info = gr.Textbox(value="If you want to use the inpaint function, it is best to git clone the repo and use a machine with more VRAM locally. \
                                                     Alternatively, you can use the resize ratio slider to scale down the original image to around 360P resolution for faster processing.", label="Tips for running this demo.")
                             resize_ratio_slider = gr.Slider(minimum=0.02, maximum=1, step=0.02, value=0.6, label="Resize ratio", visible=True)
@@ -500,7 +505,7 @@ with gr.Blocks() as iface:
                             # extract frames
                             with gr.Column():
                                 extract_frames_button = gr.Button(value="Get video info", interactive=True, variant="primary") 
-
+                                process_video = gr.Button(value="Process ideo", interactive=True, variant="primary")
                             # click points settins, negative or positive, mode continuous or single
                             with gr.Row():
                                 with gr.Row():
@@ -553,7 +558,10 @@ with gr.Blocks() as iface:
                     outputs=[video_demo_operation],
                     # cache_examples=True,
                 ) 
-    
+    process_video.click(
+        fn=api_process_video,
+        inputs=[video_input],outputs=[video_path], api_name="process_video"
+    )
     # first step: get the video information 
     extract_frames_button.click(
         fn=get_frames_from_video,
@@ -674,14 +682,4 @@ with gr.Blocks() as iface:
     )
 iface.queue(concurrency_count=1)
 # iface.launch(debug=True, enable_queue=True, server_port=args.port, server_name="0.0.0.0")
-iface.launch(debug=True, enable_queue=True)
-
-@iface.route("/api/process_video") 
-
-def api_process_video(video_url):
-    
-    video_path = download_video(video_url)
-        
-    return get_frames_from_video(video_path)
-    
-iface.route("/api/process_video", api_process_video)
+iface.launch(debug=True, enable_queue=True)

appy.py

@@ -0,0 +1,10 @@
+from gradio_client import Client
+
+client = Client("https://besarismaili-track-anything.hf.space/")
+
+video_url = "https://github.com/besarismaili/track-anything/raw/main/video_001.mp4"
+
+result = client.predict(video_url, api_name="process_video")
+
+#print(client.config)
+print(result)