import gradio as gr
import edge_tts
import asyncio
import tempfile
import os
from moviepy.editor import concatenate_videoclips, AudioFileClip, ImageClip, VideoFileClip

# Get all available voices
async def get_voices():
    voices = await edge_tts.list_voices()
    return {f"{v['ShortName']} - {v['Locale']} ({v['Gender']})": v['ShortName'] for v in voices}

# Text-to-speech function
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

# Text-to-video function
def text_to_video(text, voice, rate, pitch, bg_media, video_width, video_height):
    # Generate audio from text
    audio, warning = asyncio.run(text_to_speech(text, voice, rate, pitch))
    if warning:
        return None, warning

    audio_clip = AudioFileClip(audio)

    # Check if bg_media is None
    if bg_media is None:
        return None, gr.Warning("Please upload a background image or video.")

    # Create background video or image
    if bg_media.endswith('.mp4'):
        bg_clip = VideoFileClip(bg_media).resize(newsize=(video_width, video_height)).set_duration(audio_clip.duration)
    else:
        bg_clip = ImageClip(bg_media).set_duration(audio_clip.duration).resize(newsize=(video_width, video_height))
    
    # Set audio for the background
    final_video = bg_clip.set_audio(audio_clip)

    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 interface function
def tts_interface(text, voice, rate, pitch, bg_media, video_width, video_height):
    video, warning = text_to_video(text, voice, rate, pitch, bg_media, video_width, video_height)
    return None, video, warning

# Create Gradio app
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.File(label="Upload Background Image or Video", type="filepath"),
            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),
        ],
        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. Upload an image or video for the background.",
        analytics_enabled=False,
        allow_flagging=False,
    )
    
    return demo

# Run the application
if __name__ == "__main__":
    demo = asyncio.run(create_demo())
    demo.launch(share=True)  # Set share=True for public link