| import gradio as gr |
| from huggingface_hub import InferenceClient |
|
|
| def respond(message, history, system_message, max_tokens, temperature, top_p, hf_token): |
| """ |
| Streaming responses from Hugging Face Inference API |
| """ |
| if not hf_token: |
| yield "Error: Please provide your Hugging Face token." |
| return |
|
|
| client = InferenceClient(token=hf_token, model="openai/gpt-oss-20b") |
|
|
| messages = [{"role": "system", "content": system_message}] |
| messages.extend(history) |
| messages.append({"role": "user", "content": message}) |
|
|
| response = "" |
| for message_chunk in client.chat_completion( |
| messages, |
| max_tokens=max_tokens, |
| stream=True, |
| temperature=temperature, |
| top_p=top_p, |
| ): |
| choices = message_chunk.choices |
| token = "" |
| if len(choices) and choices[0].delta.content: |
| token = choices[0].delta.content |
| response += token |
| yield response |
|
|
| |
| with gr.Blocks() as demo: |
| with gr.Sidebar(): |
| gr.Markdown("## Chatbot Settings") |
| hf_token = gr.Textbox( |
| placeholder="Paste your Hugging Face token here", |
| label="Hugging Face Token", |
| type="password" |
| ) |
| system_message = gr.Textbox( |
| value="You are a friendly Chatbot.", |
| label="System message" |
| ) |
| max_tokens = gr.Slider( |
| minimum=1, maximum=2048, value=512, step=1, label="Max new tokens" |
| ) |
| temperature = gr.Slider( |
| minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature" |
| ) |
| top_p = gr.Slider( |
| minimum=0.1, maximum=1.0, value=0.95, step=0.05, |
| label="Top-p (nucleus sampling)" |
| ) |
|
|
| chatbot = gr.Chatbot() |
| state = gr.State([]) |
| msg = gr.Textbox(label="Your message") |
|
|
| msg.submit( |
| respond, |
| inputs=[msg, state, system_message, max_tokens, temperature, top_p, hf_token], |
| outputs=[chatbot], |
| show_progress=True |
| ) |
|
|
| if __name__ == "__main__": |
| demo.launch() |
