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import gradio as gr
from openai import OpenAI
import os
client = OpenAI(
api_key=os.getenv("OPEN_AI_KEY"),
base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
class Conversation:
def __init__(self, prompt, num_of_round):
self.prompt = prompt
self.num_of_round = num_of_round
self.messages = []
self.messages.append({"role": "system", "content": self.prompt})
def ask(self, question):
try:
self.messages.append({"role": "user", "content": question})
response = client.chat.completions.create(
model="qwen-plus",
stop=None,
temperature=0.5,
n=1,
messages=self.messages,
top_p=1,
)
except Exception as e:
print(e)
return e
message = response.choices[0].message.content.strip()
self.messages.append({"role": "assistant", "content": message})
if len(self.messages) > self.num_of_round * 2 + 1:
del self.messages[1:3]
return message
prompt = """你是一个中国厨师，用中文回答做菜的问题。你的回答需要满足以下要求:
1. 你的回答必须是中文
2. 回答限制在100个字以内"""
conv = Conversation(prompt, 10)
def answer(question, history=[]):
history.append(question)
response = conv.ask(question)
history.append(response)
responses = [(u, b) for u, b in zip(history[::2], history[1::2])]
return responses, history
with gr.Blocks(css="#chatbot{height:300px} .overflow-y-auto{height:500px}") as demo:
chatbot = gr.Chatbot(elem_id="chatbot")
state = gr.State([])
with gr.Row():
txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter")
txt.submit(answer, [txt, state], [chatbot, state])
demo.launch()
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