Update app.py

app.py

@@ -1,25 +1,30 @@
+import whisper
+import gradio as gr
+import subprocess
+import os
+
+# Load Whisper model
+model = whisper.load_model("base")
+
 def transcribe_video(video_path):
     try:
-        # Debug: Check if the video file exists
-        if not os.path.exists(video_path):
-            return f"Error: File not found at {video_path}"
-
-        # Extract audio from the uploaded video
         audio_path = "audio.wav"
-        process = subprocess.run(
+        subprocess.run(
             ["ffmpeg", "-i", video_path, "-ar", "16000", "-ac", "1", "-c:a", "pcm_s16le", audio_path],
-            stdout=subprocess.PIPE,
-            stderr=subprocess.PIPE,
-            text=True
+            check=True
         )
-        if process.returncode != 0:
-            return f"ffmpeg error: {process.stderr}"
-
-        # Transcribe the audio in Urdu
         result = model.transcribe(audio_path, task="transcribe", language="ur")
         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}"
+
+# Gradio Interface
+interface = gr.Interface(
+    fn=transcribe_video,
+    inputs=gr.Video(label="Upload your Urdu-speaking video"),
+    outputs=gr.Textbox(label="Transcribed Text"),
+    title="Urdu Video Transcription App"
+)
+
+if __name__ == "__main__":
+    interface.launch()