Update app.py

app.py

@@ -3,13 +3,17 @@ import pandas as pd
 import gradio as gr
 from llama_cpp import Llama
 
-# Define the path for the model
+# Define the model path
 MODEL_PATH = "models/mistral-7b-instruct-v0.1.Q2_K.gguf"
 
-# Create the models directory if it doesn't exist
+# Create models directory if not exists
 os.makedirs("models", exist_ok=True)
-with open("models/.keep", "w") as f:
-    f.write("placeholder")
+
+# If the model file doesn't exist, you can download it. 
+# (This download should ideally be done manually or during local testing, not in the Hugging Face Space runtime)
+if not os.path.exists(MODEL_PATH):
+    print("Downloading GGUF model...")
+    # Use subprocess or any method to download the model file here if needed
 
 # Load the quantized model (CPU)
 llm = Llama(