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import gradio as gr
from huggingface_hub import InferenceClient
# Hugging Face token (create one at https://huggingface.co/settings/tokens)
HF_TOKEN = "MY_TOKENN"
# Pass the token so it uses the Hugging Face API instead of Nebius
client = InferenceClient("Qwen/Qwen2.5-7B-Instruct-1M", token=HF_TOKEN)
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})
# Pass messages as a keyword argument
response = client.chat_completion(
messages=messages,
max_tokens=100
)
return response["choices"][0]["message"]["content"].strip()
chatbot = gr.ChatInterface(respond, type="messages")
chatbot.launch()
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