Update app.py

app.py

@@ -9,7 +9,7 @@ logging.basicConfig(level=logging.CRITICAL)
 # Cache the model and tokenizer to avoid reloading it every time
 @st.experimental_singleton
 def load_model():
-    model_name = "Abbeite/chest_and_physical_limitations2"  # Replace with your actual model name
+    model_name = "NousResearch/Llama-2-7b-chat-hf"  # Replace with your actual model name
     tokenizer = AutoTokenizer.from_pretrained(model_name)
     model = AutoModelForCausalLM.from_pretrained(model_name)
     return model, tokenizer