import gradio as gr 
import os
import sys
import subprocess
#from moviepy.editor import VideoFileClip

import whisper
from whisper.utils import write_vtt

model = whisper.load_model("medium")

def video2mp3(video_file, output_ext="mp3"):
    filename, ext = os.path.splitext(video_file)
    subprocess.call(["ffmpeg", "-y", "-i", video_file, f"{filename}.{output_ext}"], 
                    stdout=subprocess.DEVNULL,
                    stderr=subprocess.STDOUT)
    return f"{filename}.{output_ext}"


def translate(video):

    audio_file = video2mp3(video)
    
    options = dict(beam_size=5, best_of=5, fp16 = False)
    translate_options = dict(task="translate", **options)
    result = model.transcribe(audio_file,**translate_options)

    #output_dir = '/content/'
    audio_path = audio_file.split(".")[0]

    with open(os.path.join(output_dir, audio_path + ".vtt"), "w") as vtt:
      write_vtt(result["segments"], file=vtt)

    subtitle = audio_path + ".vtt"
    output_video = audio_path + "_subtitled.mp4"

    os.system(f"ffmpeg -i {input_video} -vf subtitles={subtitle} {output_video}")

    return output_video

block = gr.Blocks()
with block:

    with gr.Group():
        with gr.Box():
            with gr.Row().style(mobile_collapse=False, equal_height=True):
                inp_video = gr.Video(
                    label="Input Video",
                    type="filepath"
                )
                op_video = gr.Video()
            btn = gr.Button("Generate Subtitle Video")
        
        
        


        
        btn.click(translate, inputs=[inp_video], outputs=[op_video])
 
        gr.HTML('''
        <div class="footer">
                    <p>Model by <a href="https://github.com/openai/whisper" style="text-decoration: underline;" target="_blank">OpenAI</a> - Gradio App by <a href="https://twitter.com/1littlecoder" style="text-decoration: underline;" target="_blank">1littlecoder</a>
                    </p>
        </div>
        ''')

block.launch(debug = True)