#changing the code to have a Gradio Blocks App Menu on Huggingface Space prompting the channel URL
#importing the necessary modules 
import os 
import urllib.request 
import re 
import time 
import gradio as gr

#Creating a Gradio App Menu
def transcript_extract():
    #specifying the YouTube channel URL 
    channel_url = gr.inputs.Textbox(label="Channel URL")

#accessing the webpage 
    page = urllib.request.urlopen(channel_url)

#reading the source code 
    data = page.read()

#creating a directory to save the transcripts 
    os.mkdir('Transcripts')

#finding the transcripts 
    transcript_links = re.findall(r'(\/watch\?v=[A-Za-z0-9_.-]*)', str(data))

#looping through each transcript to download 
    for link in transcript_links:
        video_url = 'http://www.youtube.com'+link
        #access the video page 
        video_page = urllib.request.urlopen(video_url)
        #read the source code 
        video_data = video_page.read()
        #find the transcript 
        transcript_link = re.findall(r'(\/timedtext_editor\?[A-Za-z0-9_.-]*)', str(video_data))
        #check if there is a transcript available 
        if(len(transcript_link) > 0):
            #access the transcript page 
            transcript_url ='http://www.youtube.com'+ transcript_link[0]
            transcript_page = urllib.request.urlopen(transcript_url)
            transcript_data = transcript_page.read()
            #find the link to the transcript 
            transcript_download_link = re.findall(r'(\/api\/timedtext\?[A-Za-z0-9_.-]*)', str(transcript_data))
            #check if the transcript is available for download 
            if(len(transcript_download_link) > 0):
                #download the transcript 
                file_name = "Transcripts/" + link[9:] + ".xml"
                download_url = 'http://www.youtube.com'+transcript_download_link[0]
                urllib.request.urlretrieve(download_url, file_name)
                print("Downloading transcript for video " + link[9:] + "...")
                time.sleep(3)
            else:
                print("Transcript not available for video " + link[9:])
        else:
            print("Transcript not available for video " + link[9:])

#upload to Huggingface Space
gr.Interface(fn=transcript_extract, inputs="textbox", outputs="textbox", force_reload=True).launch(share=True)