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import gradio as gr
import openai
# 确保你的 OpenAI API 密钥
def respond(message, history, 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})
client = OpenAI(
api_key="sk-Eqk19o6qqgk3i09tUkriFcESxqsQNsvdF18AaHaoxeHIv0oc",
base_url="https://api.moonshot.cn/v1",
)
response = client.ChatCompletion.create(
model="moonshot-v1-128k",
messages=messages,
max_tokens=max_tokens,
temperature=temperature,
top_p=top_p,
stream=True
)
final_response = ""
for message in response['choices'][0]['message']:
final_response += message['content']
return final_response
demo = gr.ChatInterface(
respond,
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)",
),
],
)
if __name__ == "__main__":
demo.launch()
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