Updated the model

app.py

@@ -5,7 +5,7 @@ import subprocess
 def predict(text):  
     # Call llama.cpp with the input text  
     result = subprocess.run(  
-        ["./llama.cpp/main", "-m", "path/to/your/model", "-p", text],  
+        ["./llama.cpp/main", "-m", "GSridhar1982/QA_Llama31_Quantized_GGUF", "-p", text],  
         capture_output=True,  
         text=True  
     )  
@@ -14,8 +14,8 @@ def predict(text):
 # Create a Gradio interface  
 iface = gr.Interface(  
     fn=predict,  
-    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),  
-    outputs="text",  
+    inputs=gr.Textbox(lines=2, placeholder="Enter question here..."),  
+    outputs="Answer",  
     title="LLaMA Model Inference",  
     description="Enter text to generate using the LLaMA model."  
 )