Delete app.py

app.py

@@ -1,47 +0,0 @@
-import gradio as gr
-from huggingface_hub import hf_hub_download
-from llama_cpp import Llama
-import os
-
-# Download the model (this will happen automatically when the space starts)
-model_path = hf_hub_download(
-    repo_id="bartowski/Gemma-2-2B-Instruct-GGUF",
-    filename="Gemma-2-2B-Instruct-Q4_K_M.gguf"
-)
-
-# Load the model
-llm = Llama(
-    model_path=model_path,
-    n_ctx=2048,      # Context length
-    n_threads=2,     # Use both CPUs
-    n_gpu_layers=0,  # CPU only
-    verbose=False
-)
-
-def chat_response(message, history):
-    # Format the prompt with conversation history
-    prompt = f"""<start_of_turn>user
-{message}<end_of_turn>
-<start_of_turn>model"""
-    
-    # Generate response
-    output = llm(
-        prompt,
-        max_tokens=256,
-        stop=["<end_of_turn>", "<start_of_turn>"],
-        temperature=0.7,
-        top_p=0.9
-    )
-    
-    return output['choices'][0]['text']
-
-# Create the chat interface
-demo = gr.ChatInterface(
-    fn=chat_response,
-    title="Hausa AI Assistant",
-    description="A simple AI assistant powered by Gemma 2"
-)
-
-# Launch the application
-if __name__ == "__main__":
-    demo.launch()