app.py

# -*- encoding: utf-8 -*-
import gradio as gr
from gradio.components import label
import requests
import json

def llm_infer(messages, character_name, character_info, user_name, user_info):
    url='https://search.bytedance.net/gpt/openapi/online/v2/crawl?ak=paQxYUZ0TcbuBSFPgSbwR5QBdizjW1Ut'
    headers={
        'Content-Type': 'application/json'
    }
    data={
        "messages": messages,
        "character_profile":{
        "character_name":character_name,
        "character_info":character_info,
        "user_name":user_name,
        "user_info":user_info
    },
    "model": "Baichuan-NPC-Turbo",
    "stream": False
    }
    ret=requests.post(url=url, headers=headers, data=json.dumps(data))
    
    return ret.json()['choices'][0]['message']['content']

def respond(message, history, character_name, character_info, user_name, user_info):
    messages = [
        ]
    for part in history:
        messages.extend(
            [
                {
                    'role':'user',
                    'content':part[0]
                },
                {
                    'role':'assistant',
                    'content':part[1]
                }
            ]
        )
    messages.append({
        'role':'user',
        'content':message
    })
    print(messages)
    ret=llm_infer(messages, character_name, character_info, user_name, user_info)
    history.append([
        message,
        ret
    ])
    #if len(history) % 2 == 0:
    return "", history
CSS ="""
.contain { display: flex; flex-direction: column; }
#component-0 { height: 100%; }
#chatbot { flex-grow: 1; }
"""

with gr.Blocks(fill_height=True, css=CSS) as demo:
    with gr.Row(equal_height=True): 
        with gr.Column(scale=2):
            chatbot = gr.Chatbot(elem_id="chatbot")
            chatbot.height=550
        with gr.Column():
            character_name=gr.TextArea(label="角色名", max_lines=1, lines=1, value='雷雷')
            character_info=gr.TextArea(label="角色信息", max_lines=3, lines=1, value='小学生，在人大附小上学')
            user_name=gr.TextArea(label="用户名", lines=1, max_lines=1, value='明明')
            user_info=gr.TextArea(label='用户信息', lines=1, max_lines=3, value='明明是雷雷的哥哥，是个初中生')
            
            
    with gr.Row():
        chat_input = gr.Textbox(label="input")
   
    chat_input.submit(respond, [chat_input,chatbot, character_name, character_info, user_name, user_info],[chat_input, chatbot])                    
    clear = gr.ClearButton([chat_input, chatbot],)
    
demo.launch()