import openai import gradio as gr openai.api_key = "sk-R3HlMsYBk0NpAlLu2aA4B19054Ea4884A2Cf93D25662243d" openai.api_base="https://apai.zyai.online/v1" def predict(message, history): history_openai_format = [] for human, assistant in history: history_openai_format.append({"role": "user", "content": human }) history_openai_format.append({"role": "assistant", "content":assistant}) history_openai_format.append({"role": "user", "content": message}) # response = openai.ChatCompletion.create( # model='gpt-3.5-turbo', # messages= history_openai_format, # temperature=1.0, # stream=True # ) response = openai.ChatCompletion.create( model="gpt-3.5-turbo", # 对话模型的名称 messages=history_openai_format, temperature=1, # 值在[0,1]之间,越大表示回复越具有不确定性 max_tokens=600, # 回复最大的字符数 top_p=1, frequency_penalty=0, # [-2,2]之间,该值越大则更倾向于产生不同的内容 presence_penalty=0, # [-2,2]之间,该值越大则更倾向于产生不同的内容 ) partial_message = "" for chunk in response: if len(chunk['choices'][0]['delta']) != 0: partial_message = partial_message + chunk['choices'][0]['delta']['content'] yield partial_message gr.ChatInterface(predict).queue().launch()