import gradio as gr
from llama_cpp import Llama

llm = Llama.from_pretrained(
    repo_id="TheBloke/TinyLlama-1.1B-GGUF",
    filename="tinyllama-1.1b.Q4_K_M.gguf"
)

def chat(message, history):
    response = llm.create_chat_completion(
        messages=[{"role": "user", "content": message}]
    )
    return response["choices"][0]["message"]["content"]

gr.ChatInterface(fn=chat).launch()