app.py

import streamlit as st
import time
from transformers import pipeline
from pytube import YouTube
from pydub import AudioSegment
from audio_extract import extract_audio
import google.generativeai as google_genai

import os
from dotenv import load_dotenv



load_dotenv()

GOOGLE_API_KEY =os.getenv("GOOGLE_API_KEY")

google_genai.configure(api_key=GOOGLE_API_KEY)

st.set_page_config(
    page_title="VidText"
)

st.title('Vidtext_whisper')
st.write('A web app for video/audio transcription(Youtube, mp4, mp3)')


def youtube_video_downloader(url):
    yt_vid = YouTube(url)

    title = yt_vid.title
    vid_dld = (
        yt_vid.streams.filter(progressive=True, file_extension="mp4")
        .order_by("resolution")
        .desc()
        .first()    
    )
    vid_dld = vid_dld.download()
    return vid_dld, title


def audio_extraction(video_file):
    audio = AudioSegment.from_file(video_file, format="mp4")
    audio_path = 'audio.wav'
    audio.export(audio_path, format="wav")

    return audio_path
    
  

def audio_processing(mp3_audio):
    audio = AudioSegment.from_file(mp3_audio, format="mp3")
    wav_file = "audio_file.wav"
    audio = audio.export(wav_file, format="wav")
    return wav_file


@st.cache_resource
def load_asr_model():
    asr_model = pipeline(task="automatic-speech-recognition", model="openai/whisper-small")
    return asr_model

transcriber_model = load_asr_model()

def transcriber_pass(processed_audio):
    text_extract = transcriber_model(processed_audio)
    return text_extract['text']

def generate_ai_summary(transcript):
    model = google_genai.GenerativeModel('gemini-pro')
    model_response = model.generate_content([f"Give a summary of the text {transcript}"], stream=True)
    return model_response.text

    

# Streamlit UI

youtube_url_tab, file_select_tab, audio_file_tab = st.tabs(["Youtube URL","Video file", "Audio file"])

with youtube_url_tab:
    url = st.text_input("Enter the Youtube url")

    try:

        yt_video, title = youtube_video_downloader(url)
        if url:
           if st.button("Transcribe", key="yturl"):
               with st.spinner("Transcribing..."):
                   with st.spinner('Extracting audio...'):
                       audio = audio_extraction(yt_video)
                   ytvideo_transcript = transcriber_pass(audio)
               st.success(f"Transcription successful")
               st.write(f'Video title: {title}')
               st.write('___')
               # st.write(ytvideo_transcript)
               st.markdown(f'''
                          <div style="background-color: black; color: white; font-weight: bold; padding: 1rem; border-radius: 10px;">
                             <p> -> {ytvideo_transcript}</p>
                            </div>
                            ''',
                    unsafe_allow_html=True)
                   
    except Exception as e:
        st.error(e)

        
# Video file transcription

with file_select_tab:
    uploaded_video_file = st.file_uploader("Upload video file", type="mp4")
    
    try:
        if uploaded_video_file:
            if st.button("Transcribe", key="vidfile"):
                with st.spinner("Transcribing..."):
                    with st.spinner('Extracting audio...'):
                        audio = audio_extraction(uploaded_video_file)
                    
                    video_transcript = transcriber_pass(audio)
                    st.success(f"Transcription successful")
                    st.markdown(f'''
                          <div style="background-color: black; color: white; font-weight: bold; padding: 1rem; border-radius: 10px;">
                             <p> -> {video_transcript}</p>
                            </div>
                            ''',
                    unsafe_allow_html=True)

    except Exception as e:
        st.error(e)
        
        
# Audio transcription
with audio_file_tab:
    audio_file = st.file_uploader("Upload audio file", type="mp3")  

    try:
        if audio_file:
            if st.button("Transcribe", key="audiofile"):
                with st.spinner("Transcribing..."):
                    processed_audio = audio_processing(audio_file)
                    audio_transcript = transcriber_pass(processed_audio)
                    st.success(f"Transcription successful")
                    # st.write(audio_transcript)
                    st.markdown(f'''
                          <div style="background-color: black; color: white; font-weight: bold; padding: 1rem; border-radius: 10px;">
                             <p> -> {audio_transcript}</p>
                            </div>
                            ''',
                    unsafe_allow_html=True)

    except Exception as e:
        st.error(e)


# Footer
st.write('')
st.write('')
st.write('')

st.markdown("""
    <div style="text-align: center; padding: 1rem;">
        Project by <a href="https://github.com/kelechi-c" target="_blank" style="color: white; font-weight: bold; text-decoration: none;">
         tensor_kelechi</a>
    </div>
""",
unsafe_allow_html=True)

# Arigato :)