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import gradio as gr
from huggingface_hub import InferenceClient
def respond(message, history: list[dict[str,str]], system_message, max_tokens, temperature, top_p, hf_token):
if not hf_token:
yield "⚠️ You must login first! (Bạn phải đăng nhập trước!)"
return
client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
messages = [{"role": "system", "content": system_message}]
messages.extend([m for m in history if m.get("role") in ["user","assistant"] and "content" in m])
messages.append({"role": "user", "content": message})
response = ""
try:
for message_chunk in client.chat_completion(
messages,
max_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
token = message_chunk.choices[0].delta.get("content","") if message_chunk.choices else ""
response += token
yield response
except Exception as e:
yield f"❌ Error: {e}"
with gr.Blocks(css=".gradio-container {background-color: #1a1a1a; color: #eee;}") as demo:
with gr.Row():
# Sidebar
with gr.Column(scale=3, min_width=300):
gr.Markdown("## ⚡ Login & Settings (Đăng nhập & Cài đặt)")
hf_token = gr.LoginButton()
gr.Markdown("Login to HF (Đăng nhập HF)")
system_message = gr.Textbox(value="You are a friendly Chatbot. (Bạn là chatbot thân thiện.)", label="System message", lines=2)
max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max 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)")
# Chat area
with gr.Column(scale=7):
chatbot = gr.Chatbot(label="AI Chat (Trò chuyện với AI)").style(height=600)
with gr.Row():
msg = gr.Textbox(placeholder="Type your message here... (Gõ tin nhắn vào đây)", lines=1)
submit = gr.Button("Send (Gửi)")
# Bind events
submit.click(
respond,
inputs=[msg, chatbot, system_message, max_tokens, temperature, top_p, hf_token],
outputs=chatbot
)
msg.submit(
respond,
inputs=[msg, chatbot, system_message, max_tokens, temperature, top_p, hf_token],
outputs=chatbot
)
if __name__ == "__main__":
demo.launch() |