app.py

import gradio as gr
import edge_tts
import asyncio
import tempfile
import os
from moviepy.editor import TextClip, concatenate_videoclips, CompositeVideoClip, AudioFileClip

# 获取所有可用的语音
async def get_voices():
    voices = await edge_tts.list_voices()
    return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices}

# 文字转语音功能
async def text_to_speech(text, voice, rate, pitch):
    if not text.strip():
        return None, gr.Warning("Please enter the text to convert.")
    if not voice:
        return None, gr.Warning("Please select a voice.")
    
    voice_short_name = voice.split(" - ")[0]
    rate_str = f"{rate:+d}%"
    pitch_str = f"{pitch:+d}Hz"
    communicate = edge_tts.Communicate(text, voice_short_name, rate=rate_str, pitch=pitch_str)
    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
        tmp_path = tmp_file.name
        await communicate.save(tmp_path)
    return tmp_path, None

# 文字转视频功能
def text_to_video(text, voice, rate, pitch, video_width, video_height, bg_color, text_color, text_font, text_size):
    # 字体文件路径
    font_path = os.path.abspath(text_font)

    # 计算每页可以容纳的行数和每行可以容纳的字符数
    max_chars_per_line = video_width // (text_size // 2)  # 字体宽度假设为字体大小的一半
    max_lines_per_page = video_height // (text_size + 15)  # 10是行间距

    # 按页拆分文本
    words = text.split()
    lines = []
    current_line = ""
    pages = []
    
    for word in words:
        if len(current_line) + len(word) + 1 > max_chars_per_line:
            lines.append(current_line)
            current_line = word
            if len(lines) == max_lines_per_page:
                pages.append("\n".join(lines))
                lines = []
        else:
            current_line = f"{current_line} {word}".strip()
    
    lines.append(current_line)
    if lines:
        pages.append("\n".join(lines))

    # 为每页生成独立音频
    audio_clips = []
    video_clips = []
    for i, page in enumerate(pages):
        # 将每页的文本连贯朗读生成一个音频文件
        audio_text = page.replace("\n", " ")  # 移除换行符以防止 TTS 停顿
        audio, warning = asyncio.run(text_to_speech(audio_text, voice, rate, pitch))
        if warning:
            return None, warning
        audio_clip = AudioFileClip(audio)
        audio_clips.append(audio_clip)

        # 生成视频片段
        text_clip = TextClip(page, fontsize=text_size, font=font_path, color=text_color, size=(video_width, video_height), bg_color=bg_color, method='caption', align='center')
        text_clip = text_clip.set_duration(audio_clip.duration).set_audio(audio_clip)
        video_clips.append(text_clip)

    # 合并所有视频片段
    final_video = concatenate_videoclips(video_clips)
    final_video_path = os.path.join(tempfile.gettempdir(), "output_video.mp4")
    final_video.write_videofile(final_video_path, fps=24, codec="libx264")
    return final_video_path, None

# Gradio接口函数
def tts_interface(text, voice, rate, pitch, video_width, video_height, bg_color, text_color, text_font, text_size):
    video, warning = text_to_video(text, voice, rate, pitch, video_width, video_height, bg_color, text_color, text_font, text_size)
    return None, video, warning

# 创建Gradio应用
async def create_demo():
    voices = await get_voices()
    
    demo = gr.Interface(
        fn=tts_interface,
        inputs=[
            gr.Textbox(label="Input Text", lines=5),
            gr.Dropdown(choices=[""] + list(voices.keys()), label="Select Voice", value=""),
            gr.Slider(minimum=-50, maximum=50, value=0, label="Rate Adjustment (%)", step=1),
            gr.Slider(minimum=-20, maximum=20, value=0, label="Pitch Adjustment (Hz)", step=1),
            gr.Slider(minimum=640, maximum=1920, value=1080, label="Video Width", step=10),
            gr.Slider(minimum=480, maximum=1080, value=720, label="Video Height", step=10),
            gr.ColorPicker(value="#000000", label="Background Color"),
            gr.ColorPicker(value="#FFFFFF", label="Text Color"),
            gr.Textbox(label="Text Font", value="msyh.ttc"),  # 请确保字体文件路径正确
            gr.Slider(minimum=10, maximum=100, value=24, label="Text Size", step=1)
        ],
        outputs=[
            gr.Audio(label="Generated Audio", type="filepath"),
            gr.Video(label="Generated Video"),
            gr.Markdown(label="Warning", visible=False)
        ],
        title="Edge TTS Text to Speech and Video",
        description="Convert text to speech and video using Microsoft Edge TTS. Adjust rate and pitch: 0 is the default value, positive values increase, and negative values decrease.",
        analytics_enabled=False,
        allow_flagging=False,
    )
    
    return demo

# 运行应用
if __name__ == "__main__":
    demo = asyncio.run(create_demo())
    demo.launch()