Update app.py

app.py

@@ -11,7 +11,7 @@ from audio_recorder_streamlit import audio_recorder  # Add at the top with other
 # Load model and tokenizer from local fine-tuned directory
 # Define base and adapter model paths
 BASE_MODEL = "stanford-crfm/BioMedLM"  # or the path you used originally
-ADAPTER_PATH = "Tufan1/BioMedLM-Cardio-Fold10-CPU"
+ADAPTER_ID = "Tufan1/BioMedLM-Cardio-Fold10-CPU"  # HF model ID
 tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL)
 
 # Load base model with safe settings
@@ -22,12 +22,12 @@ base_model = AutoModelForCausalLM.from_pretrained(
     device_map="cpu"  # Force CPU loading
 )
 
-# Load PEFT adapter with proper weight mapping
+# Load adapter directly from Hub
 model = PeftModel.from_pretrained(
     base_model,
-    ADAPTER_PATH,
+    ADAPTER_ID,
     device_map="cpu",
-    is_trainable=False
+    adapter_name="cardio_adapter"
 )
 
 # Explicitly load adapter weights to CPU