Update app.py

app.py

@@ -25,7 +25,8 @@ def plot_mel_spectrogram(mel_spec):
 def get_or_load_model():
     if 'model' not in st.session_state or 'tokenizer' not in st.session_state or 'processor' not in st.session_state:
         ckpt_path = "checkpoints/pretrained_checkpoint.ckpt"
-        model = SpeechLLMLightning.load_from_checkpoint(ckpt_path)
+        model = SpeechLLMLightning()
+        # .load_from_checkpoint(ckpt_path)
         tokenizer = model.llm_tokenizer
         model.eval()
         model.freeze()