youngtsai's picture
1
edeee5f
raw
history blame
1.8 kB
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
audio_path = dialogue_to_audio(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"], label="生成方式"),
gr.components.Textbox(label="角色 1 名稱"),
gr.components.Textbox(label="角色 2 名稱"),
],
[
gr.components.Chatbot(label="生成的對話"),
gr.components.Audio(type="filepath", label="對話朗讀"),
gr.components.File(label="下載對話 JSON 文件")
]
).launch()