Update app.py

app.py

@@ -1,32 +1,20 @@
-import gradio as gr
+import gradio
 import cv2
-import numpy as np
-import librosa
 
-def process_video(video_file):
-    # Read the video file
-    cap = cv2.VideoCapture(video_file)
-    frames = []
-    while True:
-        ret, frame = cap.read()
-        if not ret:
-            break
-        frames.append(frame)
-    cap.release()
 
-    # Process the video frames and generate audio
-    # Your video processing and audio generation logic here
+def inference(img):
+  blur = cv2.blur(img,(5,5))
+  return blur
 
-    # Save the new audio file
-    # Example: librosa.output.write_wav('output_audio.wav', new_audio, sr)
+# For information on Interfaces, head to https://gradio.app/docs/
+# For user guides, head to https://gradio.app/guides/
+# For Spaces usage, head to https://huggingface.co/docs/hub/spaces
+iface = gradio.Interface(
+  fn=inference,
+  inputs='image',
+  outputs='image',
+  title='Hello World', 
+  description='The simplest interface!',
+  examples=["llama.jpg"])  
 
-    return "Audio generated successfully"
-
-iface = gr.Interface(
-    fn=process_video,
-    inputs="file",
-    outputs="text",
-    title="Video to Audio Generator",
-    description="Upload a video, analyze it, and generate audio"
-)
-iface.launch()
+iface.launch()