Update app.py

app.py

@@ -1,9 +1,8 @@
 import gradio as gr
 from llama_cpp import Llama
 
-# Provide the absolute path to the first shard of your model
-# Replace "/full/path/to" with the actual absolute path to your model directory
-model_path = "/home/user/app/DeepSeek-R1-Zero-Q4_K_M/DeepSeek-R1-Zero-Q4_K_M-00001-of-00009.gguf"
+# Provide the relative path to the first shard of your model
+model_path = "DeepSeek-R1-Zero-Q4_K_M/DeepSeek-R1-Zero-Q4_K_M-00001-of-00009.gguf"
 
 # Initialize the model
 try:
@@ -17,7 +16,7 @@ def predict(prompt):
     try:
         # Generate output using the model
         output = model(prompt)
-        return output["choices"][0]["text"]  # Adjust based on the output structure
+        return output["choices"][0]["text"]  # Adjust this based on output structure
     except Exception as e:
         return f"Error during inference: {e}"