Update app.py

app.py

@@ -5,13 +5,26 @@ from transformers import Wav2Vec2FeatureExtractor, Wav2Vec2Model
 import torchaudio
 from torchaudio.transforms import Resample
 from tensorflow.keras.models import load_model
-
+from tensorflow.keras.models import load_model
 # Load models
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("facebook/mms-1b")
 wav2vec_model = Wav2Vec2Model.from_pretrained("facebook/mms-1b").to(device)
 
-saved_model_path = "CNN-MODEL"
+
+
+
+# h5_model_path = "model.h5"
+
+# try:
+#     loaded_h5_model = load_model(h5_model_path)
+#     print("Model loaded successfully from .h5 format.")
+# except Exception as e:
+#     print(f"Error: {e}")
+
+
+
+saved_model_path = "model.h5"
 try:
     cnn_model = load_model(saved_model_path)
 except Exception as e: