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import gradio as gr
import os
import requests

url = os.getenv('BACKEND_URL')
username = os.getenv('USERNAME')
password = os.getenv('PASSWORD')
system_prompt_text = "你是Emi,正在和用户手机聊天"

def predict(message, history):
    global system_prompt_text
    url = url
    payload = {
        "message": message,
        "system_message": system_prompt_text,
        "history": history
    }
    headers = {
        "Content-Type": "application/json"
    }
    
    response = requests.post(url, json=payload, headers=headers)
    
    if response.status_code == 200:
        return response.json()
    else:
        response.raise_for_status()


def update_system_prompt(new_content):
    global system_prompt_text
    system_prompt_text = new_content

with gr.Blocks() as demo:
    gr.ChatInterface(
        predict,
        examples=["我心情好差呜呜", 
                    "工作之余,你有什么爱好或兴趣吗?", 
                    "谁创造了你?", 
                    "请自我介绍一下", 
                    "对未来有什么打算吗?",
                    "Emi会弹钢琴吗",
                    "你能感觉到疼痛吗?",
                    "你觉得自己像AI吗?",
                    "你能全天候工作吗?",
                    "你有更新过吗?"]
    )
    system_prompt = gr.Textbox(value=system_prompt_text, info="System Message:", placeholder="你是Emi",
                                           interactive=True, lines=30)
    system_prompt.change(
        fn=update_system_prompt, inputs=system_prompt)

if __name__ == "__main__":
    demo.launch(auth=(username, password))