Create app.py

app.py

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+import cv2
+import gradio as gr
+from pathlib import Path
+from typing import Union, Tuple
+
+def frame_capture(video_path: str) -> Tuple[str, None]:
+    # Function to extract frames
+    vidObj = cv2.VideoCapture(video_path)
+
+    # Used as counter variable
+    count = 0
+    frames = []
+
+    # checks whether frames were extracted
+    success = 1
+
+    while success:
+        # vidObj object calls read
+        # function to extract frames
+        success, image = vidObj.read()
+
+        # Append the frame to the list
+        if success:
+            frames.append(image)
+            count += 1
+
+    return frames, None
+
+def extract_frames(video: str) -> Tuple[str, None]:
+    frames, _ = frame_capture(video)
+    return frames, None
+
+# Define the Gradio interface
+video_input = gr.Video(type='mp4', label="Upload Video", behavior={"type": "local", "renameTo": "*.mp4"})
+output_frames = gr.Image(label='Frame', type='pil')
+
+# Create the Gradio app
+gr.Interface(fn=extract_frames, inputs=video_input, outputs=output_frames, title='Video Frame Extractor').launch()