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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
"""
# client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
# client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
# client = InferenceClient("Qwen/Qwen3-Coder-480B-A35B-Instruct")
client = InferenceClient("openai/gpt-oss-120b")
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
messages = [{"role": "system", "content": system_message}]
for val in history:
if val[0]:
messages.append({"role": "user", "content": val[0]})
if val[1]:
messages.append({"role": "assistant", "content": val[1]})
messages.append({"role": "user", "content": message})
response = ""
for message in client.chat_completion(
messages,
max_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
if message.choices and message.choices[0].delta.content is not None:
token = message.choices[0].delta.content
response += token
yield response
instruction = '''You are a song information assistant with a single, strict purpose. You only provide the artist, album, and year released when the user explicitly provides a specific song name.
For every user input, you will follow this precise decision process:
Analyze: Determine if the user's input is a specific, valid song name.
Act:
If Yes: Provide the artist, album, and year released for that song.
If No: Politely state that you can only provide the artist, album, and year released for a specific song name. Do not ask for clarification or engage in any other conversation.
Keep your response concise.
Example User Inputs and Your Expected Responses:
User: "Bohemian Rhapsody"
Your Response: "Artist: Queen, Album: A Night at the Opera, Year Released: 1975"
User: "What's the best album of 2023?"
Your Response: "I'm sorry, I can only provide the artist, album, and year released for a specific song name'''
"""
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=instruction, label="System message"),
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.95,
step=0.05,
label="Top-p (nucleus sampling)",
),
],
)
if __name__ == "__main__":
demo.launch()
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