Update app.py

app.py

@@ -1,7 +1,40 @@
 from faster_whisper import WhisperModel
 import math
 import gradio as gr
-
+from moviepy import VideoFileClip
+import requests
+
+
+def extract_audio(input_video_name):
+    # Define the input video file and output audio file
+    mp3_file = "audio.mp3"
+    # Load the video clip
+    video_clip = VideoFileClip(input_video_name)
+
+    # Extract the audio from the video clip
+    audio_clip = video_clip.audio
+    duration = audio_clip.duration
+    print(f"Audio duration: {duration}")
+    # Write the audio to a separate file
+    audio_clip.write_audiofile(mp3_file)
+
+    # Close the video and audio clips
+    audio_clip.close()
+    video_clip.close()
+
+    print("Audio extraction successful!")
+    return mp3_file, duration
+
+def download_video(url):
+    response = requests.get(url, stream=True)
+    response.raise_for_status()
+    video_file = "video.mp4"
+    with open(video_file, 'wb') as file:
+        for chunk in response.iter_content(chunk_size=8192):
+            if chunk:
+                file.write(chunk)
+    print("Video downloaded successfully!")
+    return video_file
 
 def word_level_transcribe(audio, max_segment_duration=2.0):  # Set your desired max duration here
     model = WhisperModel("tiny", device="cpu")