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47f163b e520b20 47f163b ead18cb e520b20 ead18cb e520b20 47f163b e520b20 6dddc77 3a6705d 6d02da0 6dddc77 e520b20 6dddc77 e520b20 47f163b 42e6110 e520b20 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | import os
import gradio as gr
from huggingface_hub import InferenceClient
HF_TOKEN = os.getenv("HF_TOKEN")
SF = os.getenv("SF")
def respond(
message,
history: list[dict[str, str]],
system_message,
max_tokens,
temperature,
top_p,
quem_faz,
):
client = InferenceClient(token=HF_TOKEN, model="openai/gpt-oss-20b")
if quem_faz != SF:
yield "Acesso negado para"
messages = [{"role": "system", "content": system_message}]
messages.extend(history)
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:
response += message.choices[0].delta.content
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"),
gr.Textbox(value="", label="Quem faz"),
],
)
with gr.Blocks() as demo:
chatbot.render()
if __name__ == "__main__":
demo.launch()
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