import gradio as gr from huggingface_hub import InferenceClient import subprocess import threading import sys import time SCRIPT_CMD = "bash ./script.sh" def respond( message, history: list[dict[str, str]], system_message, max_tokens, temperature, top_p, hf_token: gr.OAuthToken, ): client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b") messages = [{"role": "system", "content": system_message}] messages.extend(history) messages.append({"role": "user", "content": message}) response = "" for msg in client.chat_completion( messages, max_tokens=max_tokens, stream=True, temperature=temperature, top_p=top_p, ): choices = msg.choices token = "" if len(choices) and choices[0].delta.content: token = choices[0].delta.content response += token yield response chatbot = gr.ChatInterface( respond, type="messages", additional_inputs=[ gr.Textbox(value="You are a friendly Chatbot.", 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)", ), ], ) def stream_script(cmd): p = subprocess.Popen( cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell=True, text=True, bufsize=1, ) for line in p.stdout: sys.stdout.write(line) p.wait() sys.stdout.write(f"[script exited with code {p.returncode}]\n") with gr.Blocks() as demo: with gr.Sidebar(): gr.LoginButton() chatbot.render() if __name__ == "__main__": # Chạy Gradio không block demo.launch(prevent_thread_lock=True) # Chạy shell script song song t_script = threading.Thread(target=stream_script, args=(SCRIPT_CMD,)) t_script.start() # Giữ main thread sống, kể cả sau khi script xong try: while True: time.sleep(1) except KeyboardInterrupt: sys.stdout.write("[shutdown requested]\n")