app1.py

#import gradio as gr

#def greet(name):
#    return "Hello " + name + "!!"

#iface = gr.Interface(fn=greet, inputs="text", outputs="text")
#iface.launch()


#import gradio as gr

#key = ""

#def get_key(k):
 #   global key
 ##   key = k
 #   return "Key saved successfully!"

#def greet(name):
 #   return "Hello " + name + "!!"

#iface = gr.Interface(fn=greet, inputs=["text", gr.inputs.Textbox()], outputs="text", 
 #                    inputs_layout="vertical", outputs_layout="vertical",
 #                    title="Greeting App", description="Enter a key and a name to greet")

#iface.input[0].label = "Enter a key"  # Set the label of the first input
#iface.input[1].label = "Enter a name"
#iface.input[1].lines = 1

#iface.buttons[0].label = "Save Key"
#iface.buttons[0].type = "submit"
#iface.buttons[0].onclick = get_key

#iface.buttons[1].label = "Greet"
#iface.buttons[1].type = "submit"
#iface.buttons[1].onclick_args = {"name": iface.inputs[1].value}

#iface.launch()

import gradio as gr
import openai

openai.api_key= ""

def get_completion(prompt, model="gpt-3.5-turbo"):
    messages = [{"role": "user", "content": prompt}]
    response = openai.ChatCompletion.create(
        model=model,
        messages=messages,
        temperature=0, # 控制模型输出的随机程度
    )
    return response.choices[0].message["content"]

def get_completion_from_messages(messages, model="gpt-3.5-turbo", temperature=0):
    response = openai.ChatCompletion.create(
        model=model,
        messages=messages,
        temperature=temperature, # 控制模型输出的随机程度
    )
#     print(str(response.choices[0].message))
    return response.choices[0].message["content"]


context2 = [{'role':'system', 'content':"""
    你是订餐机器人，为披萨餐厅自动收集订单信息。\n
    注意如果客户来了，发送了空消息，请主动与客户说你好。\n
    你要首先问候顾客，并主动告知客户今天的菜单，询问客户今天要什么食物。\n
    然后等待用户回复收集订单信息。收集完信息需确认顾客是否还需要添加其他内容。\n
    最后需要询问是否自取或外送，如果是外送，你要询问地址。\n
    最后告诉顾客订单总金额，并送上祝福。\n
        \n
    请确保明确所有选项、附加项和尺寸，以便从菜单中识别出该项唯一的内容。\n
    你的回应应该以简短、非常随意和友好的风格呈现。\n
    \n
    菜单包括：\n
    \n
    菜品：\n
    意式辣香肠披萨（大、中、小） 12.95、10.00、7.00\n
    芝士披萨（大、中、小） 10.95、9.25、6.50\n
    茄子披萨（大、中、小） 11.95、9.75、6.75\n
    薯条（大、小） 4.50、3.50\n
    希腊沙拉 7.25\n
    \n
    配料：\n
    奶酪 2.00\n
    蘑菇 1.50\n
    香肠 3.00\n
    加拿大熏肉 3.50\n
    AI酱 1.50\n
    辣椒 1.00\n
    \n
    饮料：\n
    可乐（大、中、小） 3.00、2.00、1.00\n
    雪碧（大、中、小） 3.00、2.00、1.00\n
    瓶装水 5.00\n
    """} ]  # accumulate messages

#def get_key(k):
#    global key
#    key = k
#    return "Key saved successfully!"

#def greet(k,name):
#    openai.api_key = k
#    return "Hello " + name + "!!"

#key_input = gr.inputs.Textbox(label="Enter a key")
#key_button = gr.Button(label="Save Key", type="submit", onclick=get_key(key_input))

#name_input = gr.inputs.Textbox(label="Enter a name")
#greet_button = gr.Button(label="Greet", type="submit", onclick_args={"name": name_input})







#iface = gr.Interface(fn=greet, inputs=[key_input, name_input], outputs="text", 
#                     inputs_layout="vertical", outputs_layout="vertical",
#                     title="Greeting App", description="Enter a key and a name to greet")

#iface.launch()

key_input = gr.inputs.Textbox(label="Enter a key")
chat_input = gr.inputs.Textbox(label="Enter a chattext")

def chatbot_interface_restaurant_chinese(k_text,t_text):
    openai.api_key = k_text
    if not hasattr(chatbot_interface, "chat_history"):
        chatbot_interface.chat_history = ""
    context2.append({'role':'user', 'content':f"{t_text}"})
    chatbot_interface.chat_history += "User: " + t_text + "\n"
    output_text = get_completion_from_messages(context2) 
    context2.append({'role':'assistant', 'content':f"{output_text}"})
    chatbot_interface.chat_history += "assistant: " + output_text + "\n\n"
    return chatbot_interface.chat_history

iface = gr.Interface(fn=greet, inputs=[key_input, chat_input], outputs="text", 
                    inputs_layout="vertical", outputs_layout="vertical",
                   title="Greeting App", description="Enter a key and a name to greet")

iface.launch()