0.1.187

PyPI/src/guan/others.py

@@ -1,64 +1,5 @@
 # Module: others
 
-# AI 对话
-def chat(prompt='你好', model=1, stream=1, stream_label=0):
-    import requests
-    url = "http://api.guanjihuan.com/chat"
-    data = {
-        "prompt": prompt, 
-        "model": model,
-    }
-    if stream == 1:
-        if stream_label == 1:
-            print('\n--- Start Chat Stream Message ---\n')
-    requests_response = requests.post(url, json=data, stream=True)
-    response = ''
-    if requests_response.status_code == 200:
-        for line in requests_response.iter_lines():
-            if line:
-                if stream == 1:
-                    print(line.decode('utf-8'), end='', flush=True)
-                response += line.decode('utf-8')
-        print()
-    else:
-        pass
-    if stream == 1:
-        if stream_label == 1:
-            print('\n--- End Chat Stream Message ---\n')
-    return response
-
-# 加上函数代码的 AI 对话
-def chat_with_function_code(function_name, prompt='', model=1, stream=1):
-    import guan
-    function_source = guan.get_source(function_name)
-    if prompt == '':
-        response = guan.chat(prompt=function_source, model=model, stream=stream)
-    else:
-        response = guan.chat(prompt=function_source+'\n\n'+prompt, model=model, stream=stream)
-    return response
-
-# 机器人自动对话
-def auto_chat(prompt='你好', round=2, model=1, stream=1):
-    import guan
-    response0 = prompt
-    for i0 in range(round):
-        print(f'\n【对话第 {i0+1} 轮】\n')
-        print('机器人 1: ')
-        response1 = guan.chat(prompt=response0, model=model, stream=stream)
-        print('机器人 2: ')
-        response0 = guan.chat(prompt=response1, model=model, stream=stream)
-
-# 机器人自动对话（引导对话）
-def auto_chat_with_guide(prompt='你好', guide_message='（回答字数少于30个字，最后反问我一个问题）', round=5, model=1, stream=1):
-    import guan
-    response0 = prompt
-    for i0 in range(round):
-        print(f'\n【对话第 {i0+1} 轮】\n')
-        print('机器人 1: ')
-        response1 = guan.chat(prompt=response0+guide_message, model=model, stream=stream)
-        print('机器人 2: ')
-        response0 = guan.chat(prompt=response1+guide_message, model=model, stream=stream)
-
 # CPU性能测试（十亿次循环的浮点加法运算的时间，约30秒左右）
 def cpu_test_with_addition(print_show=1):
     import time