import zhipuai from zhipuai.model_api import ChatGLM6bParams #from tts_ws_python3_demo import * #from tts_ws_python3_demo import Ws_Param zhipuai.api_key = "404ec324361f90f214fd6828c0750933.rsoTPnAXfKUnty0J" def invoke_example(): params = ChatGLM6bParams( prompt=[{"role": "user", "content": "人工智能"}], top_p=0.7, temperature=0.9 ) response = zhipuai.model_api.invoke(**params.asdict()) print(response) def async_invoke_example(): params = ChatGLM6bParams( prompt=[{"role": "user", "content": "人工智能"}], top_p=0.7, temperature=0.9 ) response = zhipuai.model_api.async_invoke(**params.asdict()) print(response) """ 说明: add: 事件流开启 error: 平台服务或者模型异常,响应的异常事件 interrupted: 中断事件,例如:触发敏感词 finish: 数据接收完毕,关闭事件流 """ def sse_invoke_example(): params = ChatGLM6bParams( prompt=[{"role": "user", "content": "人工智能"}], top_p=0.7, temperature=0.9 ) response = zhipuai.model_api.sse_invoke(**params.asdict()) for event in response.events(): if event.event == "add": print(event.data) elif event.event == "error" or event.event == "interrupted": print(event.data) elif event.event == "finish": print(event.data) print(event.meta) else: print(event.data) def query_async_invoke_result_example(): response = zhipuai.model_api.query_async_invoke_result("your task_id") print(response) def gettxt(text): params = ChatGLM6bParams( prompt=[{"role": "user", "content": text}], top_p=0.7, temperature=0.9 ) response = zhipuai.model_api.invoke(**params.asdict()) # print(response['data']['choices'][0]['content']) return (response['data']['choices'][0]['content']) if __name__ == "__main__": while 1: temp = input() text = gettxt(temp) text = text.replace('\n', '') wsParam = Ws_Param(APPID='44385032', APISecret='YWNkNTZhMTkwZWFiZjhjNjU4MDg2MzY4', APIKey='83f2198f66ed394e7a73deb57c1c1b44', Text=text) websocket.enableTrace(False) wsUrl = wsParam.create_url() ws = websocket.WebSocketApp( wsUrl, on_message=on_message, on_error=on_error, on_close=on_close) ws.on_open = on_open ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE}) file = "demo.mp3" os.system(file)