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Runtime error
| import json | |
| import openai | |
| import os | |
| #openai.api_key = os.environ["API_KEY"] # 首先要有apikey | |
| openai.api_key = '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' | |
| messages = [{"role": "system", "content": "你是一个得力助手"}] | |
| def chatgpt(content, temperature=0.8): | |
| global messages | |
| print(f'ask:{content}') | |
| messages.append({"role": "user", "content": content}) | |
| try: | |
| response = openai.ChatCompletion.create( | |
| model="gpt-3.5-turbo-0301", # 或者 gpt-3.5-turbo-0301 | |
| messages=messages, | |
| temperature=temperature, | |
| max_tokens=1000, | |
| top_p=1, | |
| frequency_penalty=0, | |
| presence_penalty=0, | |
| ) | |
| except Exception as e: | |
| messages = [{"role": "system", "content": "你是一个得力助手"}] | |
| return '本次互动消息已达上限，已清空Token，请重新输入' | |
| messages.append(json.loads(str(response.choices[0].message))) | |
| print(f'answer:{response.choices[0].message.content}') | |
| return response.choices[0].message.content | |
| if __name__ == "__main__": | |
| import gradio as gr | |
| def send_chatgpt(text): | |
| output = chatgpt(text, 0.8) | |
| return output | |
| input_text = gr.inputs.Textbox(label="输入问题：") | |
| output_text = gr.outputs.Textbox(label="回答：") | |
| interface = gr.Interface(fn=send_chatgpt, inputs=input_text, outputs=output_text, title="ChatGPT问答") | |
| # interface.launch(share=True) | |
| interface.launch() | |