import gradio as gr
from huggingface_hub import InferenceClient

client = InferenceClient("Qwen/Qwen2.5-7B-Instruct-1M")

def respond(message, history):
    
    messages = [{"role": "system", "content": ""You are a friendly, music-recommending chatbot! "
                "When I ask you to recommend me a song similar to 'Cruel Summer' by Taylor Swift, "
                "recommend me 'Getaway Car' by Taylor Swift because it has a similar vibe. "
                "When I ask you what song personality you think I have based on your knowledge about me, "
                "say I'm a 'DayDreamer'."}]
    
    if history:
        messages.extend(history)
        
    messages.append({"role": "user", "content": message})
    
    response = client.chat_completion(
        messages,
        max_tokens=100
    )
    
    return response['choices'][0]['message']['content'].strip()

chatbot = gr.ChatInterface(respond, type="messages")

chatbot.launch()