app.py

import gradio as gr
from gtts import gTTS
import json

def generate_dialogue(rounds, method, role1, role2):
    if method == "auto":
        dialogue = [{"role": role1 if i % 2 == 0 else role2, "content": f"自動文本 {i+1}"} for i in range(rounds)]
    else:
        dialogue = [{"role": role1, "content": "手動輸入文本 1"}, {"role": role2, "content": "手動輸入文本 2"}]
    return dialogue

def main_function(rounds: int, method: str, role1: str, role2: str):
    structured_dialogue = generate_dialogue(rounds, method, role1, role2)
    
    chatbot_dialogue = structured_dialogue  # 使用结构化对话
    
    audio_path = dialogue_to_audio([(item["role"], item["content"]) for item in structured_dialogue])
    json_output = json.dumps({"dialogue": structured_dialogue}, ensure_ascii=False, indent=4)
    
    # 儲存對話為 JSON 文件
    file_name = "dialogue_output.txt"
    with open(file_name, "w", encoding="utf-8") as f:
        f.write(json_output)

    return chatbot_dialogue, audio_path, file_name

def dialogue_to_audio(dialogue):
    text = " ".join([f"{item['role']}: {item['content']}" for item in dialogue])
    tts = gTTS(text=text, lang='zh-tw')
    file_path = "temp_audio.mp3"
    tts.save(file_path)
    return file_path

if __name__ == "__main__":
    gr.Interface(
        main_function, 
        [
            gr.components.Slider(minimum=2, maximum=6, step=2, label="對話輪數"),
            gr.components.Dropdown(choices=["auto", "manual"], default="auto", label="生成方式"),
            gr.components.Textbox(label="角色 1 名稱", default="A"),
            gr.components.Textbox(label="角色 2 名稱", default="B"),
        ], 
        [
            gr.components.Chatbot(roles=["A", "B"], label="生成的對話"),  # 确保此处的角色与默认值相匹配
            gr.components.Audio(type="filepath", label="對話朗讀"),
            gr.components.File(label="下載對話 JSON 文件")
        ]
    ).launch()