Create app.py

app.py

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+import whisper
+import gradio as gr
+import subprocess
+
+# Load the Whisper model
+model = whisper.load_model("large")  # Use "large" or "large-v2" for best results
+
+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])
+
+    # Transcribe the audio in Urdu
+    result = model.transcribe(audio_path, task="transcribe", language="ur")
+
+    # Return the transcribed text
+    return result["text"]
+
+# Create the 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",
+    description="Upload a video file in Urdu, and this app will transcribe the speech into text using Whisper.",
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch()