Update app.py

app.py

@@ -1,20 +1,32 @@
 import whisper
 import gradio as gr
 import subprocess
+import os
 
 # Load the Whisper model
-model = whisper.load_model("large")  # Use "large" or "large-v2" for best results
+try:
+    model = whisper.load_model("large")
+except Exception as e:
+    print(f"Error loading Whisper model: {e}")
+    raise e
 
 def transcribe_video(video_path):
-    # Extract audio from the uploaded video
-    audio_path = "audio.wav"
-    subprocess.run(["ffmpeg", "-i", video_path, "-ar", "16000", "-ac", "1", "-c:a", "pcm_s16le", audio_path])
+    try:
+        # Extract audio from the uploaded video
+        audio_path = "audio.wav"
+        subprocess.run(
+            ["ffmpeg", "-i", video_path, "-ar", "16000", "-ac", "1", "-c:a", "pcm_s16le", audio_path],
+            check=True
+        )
 
-    # Transcribe the audio in Urdu
-    result = model.transcribe(audio_path, task="transcribe", language="ur")
+        # Transcribe the audio in Urdu
+        result = model.transcribe(audio_path, task="transcribe", language="ur")
+        return result["text"]
 
-    # Return the transcribed text
-    return result["text"]
+    except FileNotFoundError:
+        return "Error: ffmpeg is not installed or not found in the environment."
+    except Exception as e:
+        return f"An error occurred: {e}"
 
 # Create the Gradio interface
 interface = gr.Interface(