Update app.py

app.py

@@ -6,8 +6,7 @@ from transformers import WhisperProcessor, WhisperForConditionalGeneration
 
 app = Flask(__name__)
 
-# Model setup
-model_id = "openai/whisper-small"  # Smaller model for faster response
+model_id = "openai/whisper-base"
 processor = WhisperProcessor.from_pretrained(model_id)
 model = WhisperForConditionalGeneration.from_pretrained(model_id)
 
@@ -23,8 +22,7 @@ def transcribe_audio(audio_url):
         f.write(response.content)
 
     waveform, sr = librosa.load(audio_path, sr=16000)
-    max_duration_sec = 3600
-    waveform = waveform[:sr * max_duration_sec]
+    waveform = waveform[:sr * 3600]
 
     chunk_duration_sec = 25
     chunk_size = sr * chunk_duration_sec
@@ -48,14 +46,4 @@ def transcribe_endpoint():
     data = request.get_json()
     audio_url = data.get('audio_url')
     if not audio_url:
-        return jsonify({"error": "Missing 'audio_url' in request"}), 400
-
-    try:
-        transcription = transcribe_audio(audio_url)
-    except Exception as e:
-        return jsonify({"error": str(e)}), 500
-
-    return jsonify({"transcription": transcription})
-
-if __name__ == '__main__':
-    app.run(host="0.0.0.0", port=7860)
+        return jsonify({"error": "