import gradio as gr
from huggingface_hub import InferenceClient

"""
For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
"""
from optimum.intel import OVModelForCausalLM
from transformers import AutoTokenizer, pipeline

model_id = "HelloSun/Qwen2.5-0.5B-Instruct-openvino"
model = OVModelForCausalLM.from_pretrained(model_id)

tokenizer = AutoTokenizer.from_pretrained(model_id)
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)


def respond(
    message,
):
    results = pipe(message)
    yield results


"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
demo = gr.ChatInterface(
    respond,
    additional_inputs=[
        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
    ],
)


if __name__ == "__main__":
    demo.launch()