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abdullah-alnahas
commited on
Commit
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e9f148d
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Parent(s):
dccede6
feat(app.py): format transcription with gemini
Browse files
app.py
CHANGED
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import
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import streamlit as st
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import io
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import os
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import pydub
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from litellm import completion
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# --- Model Loading and Caching ---
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@st.cache_resource
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def load_transcriber(_device):
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def update_download_progress(d, status_message):
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"""Updates the download progress in the Streamlit UI."""
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if d['status'] == 'downloading':
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@st.cache_data
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def split_audio_by_vad(audio_data: bytes, ext: str, _vad_model, sensitivity: float, max_duration: int = 30, return_seconds: bool = True):
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def setup_ui():
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"""Sets up the Streamlit user interface."""
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st.title("YouTube Video Transcriber")
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with
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@st.cache_resource
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def initialize_models():
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@@ -278,12 +290,12 @@ def process_transcription(video_url, vad_sensitivity, batch_size, transcriber, v
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total_chunks = len(chunks)
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transcriptions = []
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progress_bar = st.progress(0)
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for i in range(0, total_chunks, batch_size):
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batch = chunks[i:i + batch_size]
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batch_transcriptions = transcribe_batch(batch, transcriber, language)
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transcriptions.extend(batch_transcriptions)
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progress_bar.progress((i + len(batch)) / total_chunks)
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progress_bar.empty()
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st.success("Transcription complete!")
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@@ -293,9 +305,8 @@ def process_transcription(video_url, vad_sensitivity, batch_size, transcriber, v
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start_time = format_seconds(chunk['start'])
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end_time = format_seconds(chunk['end'])
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full_transcription += f"[{start_time} - {end_time}]: {chunk['text'].strip()}\n\n"
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formatted_transcription = format_transcript(full_transcription)
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return full_transcription,
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def format_seconds(seconds):
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"""Formats seconds into HH:MM:SS string."""
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return None, None, None
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def format_transcript(input_transcription):
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# os.environ["GEMINI_API_KEY"] = "..."
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sys_prompt = """
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""".strip()
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messages = [{"content": sys_prompt, "role": "system"},
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{"content": f"Format the following video transcription: {input_transcription}", "role": "user"}]
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def main():
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"""Main function to run the Streamlit application."""
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# Initialize session state variables
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if 'full_transcription' not in st.session_state:
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st.session_state.full_transcription = None
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if 'audio_data' not in st.session_state:
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st.session_state.audio_data = None
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if 'info' not in st.session_state:
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transcriber, vad_model = initialize_models()
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# Call setup_ui() to get UI element values
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video_url, language, batch_size, transcribe_option, download_audio_option, download_video_option, process_button, vad_sensitivity, audio_format, video_format = setup_ui()
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#
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if st.session_state.full_transcription:
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-
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if process_button:
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st.session_state.full_transcription = None
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st.session_state.audio_data = None
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st.session_state.info = None
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st.session_state.video_data = None
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if not video_url:
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st.error("Please enter a YouTube video link.")
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return
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if transcribe_option:
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st.session_state.full_transcription, st.session_state.
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if st.session_state.full_transcription:
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if download_audio_option:
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if st.session_state.audio_data is None or st.session_state.audio_format is None
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st.session_state.audio_data, st.session_state.audio_format, st.session_state.info = download_and_convert_audio(video_url, audio_format)
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if download_video_option:
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st.session_state.video_data, st.session_state.video_filename, st.session_state.info = download_video(video_url, video_format)
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# Download button logic (moved after setup_ui() call)
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col1, col2, col3 = st.columns(
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with col1:
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if st.session_state.full_transcription and transcribe_option:
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st.download_button(
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label="Download Transcription (TXT)",
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data=st.session_state.full_transcription,
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file_name=f"{st.session_state.info['id']}
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mime="text/plain"
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)
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with col2:
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# Now download_audio_option is defined
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if st.session_state.audio_data is not None and download_audio_option:
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st.download_button(
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label=f"Download Audio ({st.session_state.audio_format})",
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data=st.session_state.audio_data,
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file_name=f"{st.session_state.info['id']}.{st.session_state.audio_format}",
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mime=f"audio/{st.session_state.audio_format}"
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)
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with
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if st.session_state.video_data is not None and download_video_option:
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st.download_button(
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label="Download Video",
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import uuid
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import streamlit as st
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import io
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import os
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import pydub
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from litellm import completion
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# --- Language List ---
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LANGUAGES = ['english', 'chinese', 'german', 'spanish', 'russian', 'korean', 'french', 'japanese', 'portuguese', 'turkish', 'polish', 'catalan', 'dutch', 'arabic', 'swedish', 'italian', 'indonesian', 'hindi', 'finnish', 'vietnamese', 'hebrew', 'ukrainian', 'greek', 'malay', 'czech', 'romanian', 'danish', 'hungarian', 'tamil', 'norwegian', 'thai', 'urdu', 'croatian', 'bulgarian', 'lithuanian', 'latin', 'maori', 'malayalam', 'welsh', 'slovak', 'telugu', 'persian', 'latvian', 'bengali', 'serbian', 'azerbaijani', 'slovenian', 'kannada', 'estonian', 'macedonian', 'breton', 'basque', 'icelandic', 'armenian', 'nepali', 'mongolian', 'bosnian', 'kazakh', 'albanian', 'swahili', 'galician', 'marathi', 'punjabi', 'sinhala', 'khmer', 'shona', 'yoruba', 'somali', 'afrikaans', 'occitan', 'georgian', 'belarusian', 'tajik', 'sindhi', 'gujarati', 'amharic', 'yiddish', 'lao', 'uzbek', 'faroese', 'haitian creole', 'pashto', 'turkmen', 'nynorsk', 'maltese', 'sanskrit', 'luxembourgish', 'myanmar', 'tibetan', 'tagalog', 'malagasy', 'assamese', 'tatar', 'hawaiian', 'lingala', 'hausa', 'bashkir', 'javanese', 'sundanese', 'cantonese', 'burmese', 'valencian', 'flemish', 'haitian', 'letzeburgesch', 'pushto', 'panjabi', 'moldavian', 'moldovan', 'sinhalese', 'castilian', 'mandarin']
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# --- Model Loading and Caching ---
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@st.cache_resource
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def load_transcriber(_device):
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def update_download_progress(d, status_message):
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"""Updates the download progress in the Streamlit UI."""
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if d['status'] == 'downloading':
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if 'total_bytes' in d and d['total_bytes'] is not None:
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p = round(d['downloaded_bytes'] / d['total_bytes'] * 100)
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status_message.text(f"Downloading: {p}%")
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else:
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status_message.text("Downloading...")
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@st.cache_data
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def split_audio_by_vad(audio_data: bytes, ext: str, _vad_model, sensitivity: float, max_duration: int = 30, return_seconds: bool = True):
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def setup_ui():
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"""Sets up the Streamlit user interface."""
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st.title("YouTube Video Transcriber")
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st.caption("This app allows you to transcribe YouTube videos and format the transcription using a large language model. You can also download the audio and video.")
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with st.sidebar:
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st.header("Input")
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video_url = st.text_input("YouTube Video Link:", key="video_url", help="Enter the URL of the YouTube video you want to transcribe.")
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st.header("Options")
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col1, col2, col3, col4 = st.columns(4)
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with col1:
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transcribe_option = st.checkbox("Transcribe", value=True, help="Transcribe the audio of the video.")
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with col2:
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download_audio_option = st.checkbox("Download Audio", value=False, help="Download the audio of the video.")
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with col3:
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download_video_option = st.checkbox("Download Video", value=False, help="Download the video.")
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with col4:
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format_option = st.checkbox("Format Text", value=True, help="Format the transcription for better readability using a language model.")
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with st.expander("Advanced Settings"):
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language = st.selectbox("Language", options= ["Auto-Detect"] + LANGUAGES, format_func=lambda x: x.title(), help="Select the language of the audio for better transcription accuracy. Select 'Auto-Detect' to let the model determine the language.")
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batch_size = st.number_input("Batch Size", min_value=1, value=2, key="batch_size", help="The number of audio chunks to process at once during transcription.")
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vad_sensitivity = st.slider("VAD Sensitivity", min_value=0.0, max_value=1.0, value=0.1, step=0.05, key="vad_sensitivity", help="Adjust the sensitivity of the Voice Activity Detection (VAD) model. Higher values mean more sensitive to speech.")
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# Use session state to manage audio format selection and reset
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if 'reset_audio_format' not in st.session_state:
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st.session_state.reset_audio_format = False
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if 'audio_format' not in st.session_state or st.session_state.reset_audio_format:
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st.session_state.audio_format = "wav" # Default value
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st.session_state.reset_audio_format = False
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audio_format = st.selectbox("Audio Format", ["wav", "mp3", "ogg", "flac"], key="audio_format_widget", index=["wav", "mp3", "ogg", "flac"].index(st.session_state.audio_format), help="Select the desired audio format for download.")
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st.session_state.audio_format = audio_format
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if download_video_option:
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video_format = st.selectbox("Video Format", ["mp4", "webm"], index=0, key="video_format", help="Select the desired video format for download.")
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else:
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video_format = "mp4"
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process_button = st.button("Process")
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return video_url, language, batch_size, transcribe_option, download_audio_option, download_video_option, process_button, vad_sensitivity, audio_format, video_format, format_option
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@st.cache_resource
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def initialize_models():
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total_chunks = len(chunks)
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transcriptions = []
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progress_bar = st.progress(0, "Transcribing...")
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for i in range(0, total_chunks, batch_size):
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batch = chunks[i:i + batch_size]
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batch_transcriptions = transcribe_batch(batch, transcriber, language)
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transcriptions.extend(batch_transcriptions)
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progress_bar.progress((i + len(batch)) / total_chunks, f"Transcribing... {i + len(batch)}/{total_chunks} chunks done")
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progress_bar.empty()
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st.success("Transcription complete!")
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start_time = format_seconds(chunk['start'])
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end_time = format_seconds(chunk['end'])
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full_transcription += f"[{start_time} - {end_time}]: {chunk['text'].strip()}\n\n"
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return full_transcription, audio_data, audio_format, info
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def format_seconds(seconds):
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"""Formats seconds into HH:MM:SS string."""
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return None, None, None
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def format_transcript(input_transcription):
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"""Formats the transcription using the Gemini large language model."""
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# os.environ["GEMINI_API_KEY"] = "..."
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sys_prompt = """
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* Format the provided video transcription as a polished piece of written text.
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* **The output must be in the same language as the input; do not translate it.**
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* Focus on clarity, readability, and consistency, adhering to the conventions of that specific language.
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* Restructure sentences for improved flow and correct grammatical errors.
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* **Edits should strictly enhance readability without altering the original meaning or nuances of the raw transcription.**
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* Italicize or quote any text that is read aloud, clearly distinguishing it from the surrounding explanations.
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* Eliminate unnecessary repetitions unless they are used for emphasis.
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* **Do not add any information not present in the original transcript.**
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* **Do not remove timestamps.**
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* **Output only the formatted transcription.**
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""".strip()
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messages = [{"content": sys_prompt, "role": "system"},
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{"content": f"Format the following video transcription: {input_transcription}", "role": "user"}]
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def main():
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"""Main function to run the Streamlit application."""
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st.set_page_config(layout="wide")
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# Initialize session state variables
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if 'full_transcription' not in st.session_state:
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st.session_state.full_transcription = None
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if 'formatted_transcription' not in st.session_state:
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st.session_state.formatted_transcription = None
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if 'audio_data' not in st.session_state:
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st.session_state.audio_data = None
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if 'info' not in st.session_state:
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transcriber, vad_model = initialize_models()
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# Call setup_ui() to get UI element values
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video_url, language, batch_size, transcribe_option, download_audio_option, download_video_option, process_button, vad_sensitivity, audio_format, video_format, format_option = setup_ui()
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# Validate options
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if not transcribe_option and not download_audio_option and not download_video_option and not format_option:
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st.error("Please select at least one option.")
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return
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if format_option and not transcribe_option:
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st.error("Please select the transcription option to format the transcript.")
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return
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transcription_output = st.empty()
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formatted_transcription_output = st.empty()
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if st.session_state.full_transcription:
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transcription_output.text_area("Transcription:", value=st.session_state.full_transcription, height=300, key=uuid.uuid4())
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if format_option:
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if st.session_state.formatted_transcription:
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formatted_transcription_output.text_area("Formatted Transcription:", value=st.session_state.formatted_transcription, height=300, key=uuid.uuid4())
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else:
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formatted_transcription_output.text_area("Formatted Transcription:", value="No formatting was done on this transcription", height=300, key=uuid.uuid4())
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if process_button:
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st.session_state.full_transcription = None
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st.session_state.formatted_transcription = None
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st.session_state.audio_data = None
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st.session_state.info = None
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st.session_state.video_data = None
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if not video_url:
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st.error("Please enter a YouTube video link.")
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return
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# Handle language auto-detection
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selected_language = language.lower() if language != "Auto-Detect" else None
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if transcribe_option:
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st.session_state.full_transcription, st.session_state.audio_data, st.session_state.audio_format, st.session_state.info = process_transcription(video_url, vad_sensitivity, batch_size, transcriber, vad_model, audio_format, selected_language)
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if st.session_state.full_transcription:
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transcription_output.text_area("Transcription:", value=st.session_state.full_transcription, height=300, key=uuid.uuid4())
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if format_option:
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st.session_state.formatted_transcription = format_transcript(st.session_state.full_transcription)
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formatted_transcription_output.text_area("Formatted Transcription:", value=st.session_state.formatted_transcription, height=300, key=uuid.uuid4())
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else:
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st.session_state.formatted_transcription = None
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if download_audio_option:
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if st.session_state.audio_data is None or st.session_state.audio_format is None:
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st.session_state.audio_data, st.session_state.audio_format, st.session_state.info = download_and_convert_audio(video_url, audio_format)
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if download_video_option:
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st.session_state.video_data, st.session_state.video_filename, st.session_state.info = download_video(video_url, video_format)
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# Handle cases where st.session_state.info is None due to download errors
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if st.session_state.info is None:
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st.error("Could not retrieve video information. Please check the video URL and try again.")
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# Reset video_data and video_filename to prevent further errors
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st.session_state.video_data = None
|
445 |
+
st.session_state.video_filename = None
|
446 |
|
447 |
# Download button logic (moved after setup_ui() call)
|
448 |
+
col1, col2, col3, col4 = st.columns(4)
|
449 |
with col1:
|
450 |
if st.session_state.full_transcription and transcribe_option:
|
451 |
st.download_button(
|
452 |
label="Download Transcription (TXT)",
|
453 |
data=st.session_state.full_transcription,
|
454 |
+
file_name=f"{st.session_state.info['id'] if st.session_state.info else 'transcription'}.txt",
|
455 |
mime="text/plain"
|
456 |
)
|
|
|
457 |
with col2:
|
458 |
+
if st.session_state.formatted_transcription and format_option:
|
459 |
+
st.download_button(
|
460 |
+
label="Download Formatted Transcription (TXT)",
|
461 |
+
data=st.session_state.formatted_transcription,
|
462 |
+
file_name=f"{st.session_state.info['id'] if st.session_state.info else 'formatted_transcription'}.txt",
|
463 |
+
mime="text/plain"
|
464 |
+
)
|
465 |
+
|
466 |
+
with col3:
|
467 |
# Now download_audio_option is defined
|
468 |
if st.session_state.audio_data is not None and download_audio_option:
|
469 |
st.download_button(
|
470 |
label=f"Download Audio ({st.session_state.audio_format})",
|
471 |
data=st.session_state.audio_data,
|
472 |
+
file_name=f"{st.session_state.info['id'] if st.session_state.info else 'audio'}.{st.session_state.audio_format}",
|
473 |
mime=f"audio/{st.session_state.audio_format}"
|
474 |
)
|
475 |
|
476 |
+
with col4:
|
477 |
if st.session_state.video_data is not None and download_video_option:
|
478 |
st.download_button(
|
479 |
label="Download Video",
|