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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() | |