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tensorkelechi
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Create app.py
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app.py
ADDED
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import moonshine
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import streamlit as st
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import time, os
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from pytube import YouTube
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from pydub import AudioSegment
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os.environ["KERAS_BACKEND"] = "jax"
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st.set_page_config(page_title="vidkit_v2")
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st.title("vidkit")
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st.write("App for video/audio transcription(Youtube, mp4, mp3)")
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st.write("[built to solve a personal problem, might be useful to others too :)]")
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def youtube_video_downloader(url: str):
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yt_vid = YouTube(url)
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title = yt_vid.title
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vid_dld = (
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yt_vid.streams.filter(progressive=True, file_extension="mp4")
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.order_by("resolution")
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.desc()
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.first()
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)
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vid_dld = vid_dld.download()
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return vid_dld, title
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def audio_extraction(video_file: str):
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audio = AudioSegment.from_file(video_file, format="mp4")
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audio_path = "audio.wav"
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audio.export(audio_path, format="wav")
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return audio_path
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def audio_processing(mp3_audio):
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audio = AudioSegment.from_file(mp3_audio, format="mp3")
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wav_file = "audio_file.wav"
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audio = audio.export(wav_file, format="wav")
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return wav_file
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def transcriber_pass(processed_audio):
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stime = time.time()
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# transcribe with moonshine
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text_extract = moonshine.transcribe(processed_audio, "moonshine/tiny")
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time_taken = time.time() - stime
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st.write(f'transcribed in {time_taken}s')
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return text_extract[0]
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# Streamlit UI
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youtube_url_tab, file_select_tab, audio_file_tab = st.tabs(
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["Youtube URL", "Video file", "Audio file"]
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)
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with youtube_url_tab:
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url = st.text_input("Enter the Youtube url")
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try:
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yt_video, title = youtube_video_downloader(url)
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if url:
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if st.button("Transcribe", key="yturl"):
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with st.spinner("Transcribing..."):
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with st.spinner("Extracting audio..."):
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audio = audio_extraction(yt_video)
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ytvideo_transcript = transcriber_pass(audio)
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st.write(f"Video title: {title}")
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st.write("___")
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st.markdown(
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f"""
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<div style="background-color: black; color: white; font-weight: bold; padding: 1rem; border-radius: 10px;">
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<p> -> {ytvideo_transcript}</p>
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</div>
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""",
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unsafe_allow_html=True,
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)
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except Exception as e:
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st.error(e)
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# Video file transcription
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with file_select_tab:
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uploaded_video_file = st.file_uploader("Upload video file", type="mp4")
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try:
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if uploaded_video_file:
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if st.button("Transcribe", key="vidfile"):
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with st.spinner("Transcribing..."):
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with st.spinner("Extracting audio..."):
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audio = audio_extraction(uploaded_video_file)
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video_transcript = transcriber_pass(audio)
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st.success(f"Transcription successful")
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st.markdown(
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f"""
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<div style="background-color: black; color: white; font-weight: bold; padding: 1rem; border-radius: 10px;">
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<p> -> {video_transcript}</p>
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</div>
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""",
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unsafe_allow_html=True,
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)
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except Exception as e:
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st.error(e)
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# Audio file transcription
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with audio_file_tab:
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audio_file = st.file_uploader("Upload audio file", type="mp3")
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try:
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# ensure audio file is present
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if audio_file:
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if st.button("Transcribe", key="audiofile"):
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with st.spinner("Transcribing..."):
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processed_audio = audio_processing(audio_file) # extract audio/preprocess
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audio_transcript = transcriber_pass(processed_audio)
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st.success(f"Transcription successful")
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st.markdown(
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f"""
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<div style="background-color: black; color: white; font-weight: bold; padding: 1rem; border-radius: 10px;">
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<p> -> {audio_transcript}</p>
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</div>
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""",
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unsafe_allow_html=True,
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)
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except Exception as e:
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st.error(e)
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# Footer
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st.write("")
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st.write("")
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st.write("")
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st.markdown(
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"""
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<div style="text-align: center; padding: 1rem;">
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Project by <a href="https://github.com/kelechi-c" target="_blank" style="color: white; font-weight: bold; text-decoration: none;">
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tensor_kelechi</a>
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</div>
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""",
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unsafe_allow_html=True,
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)
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# Arigato :)
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