Update app.py

app.py

@@ -1,7 +1,35 @@
 import gradio as gr
+import numpy as np
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Import any additional libraries needed for your video processing task
+import cv2
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def process_video(video_path):
+    # Read the video file
+    video = cv2.VideoCapture(video_path)
+
+    # Perform any necessary processing on the video
+    # For example, you could extract frames, apply filters, or perform object detection
+
+    # Save the processed video
+    processed_video_path = "processed_video.mp4"
+    cv2.VideoWriter(processed_video_path, fourcc='mp4v', fps=30, frameSize=(640, 480)).write(video)
+
+    # Return the processed video path
+    return processed_video_path
+
+with gr.Blocks() as f:
+    # Create an input component for uploading videos
+    uploaded_video = gr.Video(label="Upload Video", sources=["upload"])
+
+    # Create a button to trigger the video processing function
+    process_button = gr.Button("Process Video")
+
+    # Create an output component for displaying the processed video
+    processed_video = gr.Video(label="Processed Video")
+
+    # Connect the components
+    processed_video = process_button.click(process_video, inputs=[uploaded_video])
+
+    # Display the interface
+    f.launch()