Update app.py

app.py

@@ -2,23 +2,15 @@ import os
 import pandas as pd
 import gradio as gr
 from llama_cpp import Llama
-import os
-import subprocess
 
-# Create models directory if not exists
-os.makedirs("models", exist_ok=True)
+# Define the path for the model
+MODEL_PATH = "models/mistral-7b-instruct-v0.1.Q2_K.gguf"
 
-# Path to model
-model_path = "models/mistral-7b-instruct-v0.1.Q2_K.gguf"
+# Create the models directory if it doesn't exist
+os.makedirs("models", exist_ok=True)
+with open("models/.keep", "w") as f:
+    f.write("placeholder")
 
-# Download model if it doesn't exist
-if not os.path.exists(model_path):
-    print("Downloading GGUF model...")
-    subprocess.run([
-        "wget", "-O", model_path,
-        "https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF/resolve/main/mistral-7b-instruct-v0.1.Q2_K.gguf?download=true"
-    ], check=True)
-    
 # Load the quantized model (CPU)
 llm = Llama(
     model_path=MODEL_PATH,