Update app.py

app.py

@@ -1,9 +1,14 @@
 import gradio as gr
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
+# Ensure the correct model path
 model_name = "QuantFactory/Meta-Llama-3-8B-Instruct-GGUF"
-model = AutoModelForCausalLM.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+try:
+    model = AutoModelForCausalLM.from_pretrained(model_name)
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+except OSError as e:
+    print(f"Error loading the model: {e}")
 
 def generate_response(prompt):
     inputs = tokenizer(prompt, return_tensors="pt")
@@ -13,3 +18,4 @@ def generate_response(prompt):
 
 interface = gr.Interface(fn=generate_response, inputs="text", outputs="text")
 interface.launch()
+