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README.md

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+---
+title: Video Enhance
+emoji: 📉
+colorFrom: pink
+colorTo: purple
+sdk: gradio
+sdk_version: 5.33.0
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# This is a Gradio app that applies an unsharp mask to a video using OpenCV and outputs a new video.
+import gradio as gr
+import cv2
+import numpy as np
+
+# Define a function to apply an unsharp mask to a frame
+def unsharp_mask(frame, kernel_size=(5, 5), sigma=1.0, strength=1.0):
+    blurred = cv2.GaussianBlur(frame, kernel_size, sigma)
+    sharpened = cv2.addWeighted(frame, 1.0 + strength, blurred, -strength, 0)
+    return sharpened
+
+# Define a function to process the video and apply the unsharp mask to each frame
+def process_video(video_path):
+    cap = cv2.VideoCapture(video_path)
+    width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
+    height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
+    fps = int(cap.get(cv2.CAP_PROP_FPS))
+    fourcc = cv2.VideoWriter_fourcc(*'mp4v')
+    out = cv2.VideoWriter('output.mp4', fourcc, fps, (width, height))
+
+    while cap.isOpened():
+        ret, frame = cap.read()
+        if not ret:
+            break
+        sharpened_frame = unsharp_mask(frame)
+        out.write(sharpened_frame)
+
+    cap.release()
+    out.release()
+    return 'output.mp4'
+
+# Create a Gradio interface that takes a video input, processes it, and returns the output video
+demo = gr.Interface(fn=process_video, inputs="video", outputs="video")
+
+# Launch the interface
+if __name__ == "__main__":
+    demo.launch(show_error=True)

requirements.txt

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+opencv-python
+numpy