Update app.py

app.py

@@ -19,9 +19,20 @@ def load_emotion_model(model_path):
         print("Error loading emotion prediction model:", e)
         return None
 
-# Load the pretrained model and processor for Speech-to-Text
-model_s2t = Speech2TextForConditionalGeneration.from_pretrained("facebook/s2t-small-librispeech-asr")
-processor_s2t = Speech2TextProcessor.from_pretrained("facebook/s2t-small-librispeech-asr")
+
+from faster_whisper import WhisperModel
+
+
+model_size = "small"
+
+# Run on GPU with FP16
+model = WhisperModel(model_size, device="cpu", compute_type="int8")
+
+def transcribe(audio):
+    segments, _ = model.transcribe(audio, beam_size=5)    
+    return "".join([segment.text for segment in segments])
+
+
 
 model_path = 'mymodel_SER_LSTM_RAVDESS.h5'
 emotion_model = load_emotion_model(model_path)