Update app.py
Browse files
app.py
CHANGED
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@@ -1,3 +1,86 @@
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import streamlit as st
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import whisper
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import ffmpeg
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@@ -8,10 +91,13 @@ from chromadb.utils import embedding_functions
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from chromadb import Client
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from chromadb.config import Settings
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def extract_audio(
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"""Extracts audio
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audio_path = "temp_audio.wav"
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return audio_path
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def transcribe_audio(audio_path):
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@@ -44,11 +130,11 @@ def search_subtitles(query, collection):
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return results['documents']
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def main():
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st.set_page_config(page_title="Video Subtitle Generator", layout="wide")
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st.title("
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with st.sidebar:
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uploaded_file = st.file_uploader("Upload Video", type=["mp4", "mkv"])
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query = st.text_input("Search Subtitles")
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download_btn = st.button("Download Subtitles")
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@@ -60,8 +146,12 @@ def main():
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subtitles = transcribe_audio(audio_path)
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st.success("Subtitles Generated!")
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# Display the
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st.text_area("Generated Subtitles", subtitles, height=300)
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# Load and search embeddings
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# import streamlit as st
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# import whisper
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# import ffmpeg
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# import pandas as pd
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# import pickle
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# import os
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# from chromadb.utils import embedding_functions
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# from chromadb import Client
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# from chromadb.config import Settings
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# def extract_audio(video_file):
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# """Extracts audio using ffmpeg."""
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# audio_path = "temp_audio.wav"
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# ffmpeg.input(video_file).output(audio_path).run(overwrite_output=True)
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# return audio_path
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# def transcribe_audio(audio_path):
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# """Transcribes audio to text using Whisper."""
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# model = whisper.load_model("base")
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# result = model.transcribe(audio_path)
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# return result['text']
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# def load_embeddings():
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# """Loads subtitle embeddings from pkl file."""
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# with open('subtitle_embeddings.pkl', 'rb') as f:
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# embeddings = pickle.load(f)
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# return embeddings
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# def save_to_chroma(embeddings):
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# """Stores embeddings in Chroma DB."""
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# client = Client(Settings())
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# collection = client.create_collection(name="subtitles")
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# for idx, row in embeddings.iterrows():
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# collection.add(
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# documents=[row['subtitle']],
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# ids=[str(idx)],
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# embeddings=[row['embedding']]
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# )
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# return collection
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# def search_subtitles(query, collection):
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# """Searches for subtitles in Chroma DB."""
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# results = collection.query(query_texts=[query], n_results=5)
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# return results['documents']
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# def main():
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# st.set_page_config(page_title="Video Subtitle Generator", layout="wide")
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# st.title("🎥 Video Subtitle Generator")
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# with st.sidebar:
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# uploaded_file = st.file_uploader("Upload Video", type=["mp4", "mkv"])
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# query = st.text_input("Search Subtitles")
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# download_btn = st.button("Download Subtitles")
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# if uploaded_file:
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# with st.spinner("Extracting audio..."):
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# audio_path = extract_audio(uploaded_file.name)
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# with st.spinner("Generating subtitles..."):
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# subtitles = transcribe_audio(audio_path)
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# st.success("Subtitles Generated!")
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# # Display the video and subtitles
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# st.video(uploaded_file)
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# st.text_area("Generated Subtitles", subtitles, height=300)
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# # Load and search embeddings
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# embeddings = load_embeddings()
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# collection = save_to_chroma(embeddings)
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# if query:
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# results = search_subtitles(query, collection)
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# st.write("### Matching Subtitles:")
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# for sub in results:
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# st.write(f"- {sub}")
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# if download_btn:
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# with open("generated_subtitles.srt", "w") as f:
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# f.write(subtitles)
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# st.download_button("Download SRT", "generated_subtitles.srt")
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# if __name__ == '__main__':
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# main()
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import streamlit as st
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import whisper
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import ffmpeg
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from chromadb import Client
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from chromadb.config import Settings
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def extract_audio(file_path):
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"""Extracts audio from video or handles audio file directly."""
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audio_path = "temp_audio.wav"
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if file_path.endswith(('.mp4', '.mkv')):
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ffmpeg.input(file_path).output(audio_path).run(overwrite_output=True)
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else:
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audio_path = file_path
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return audio_path
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def transcribe_audio(audio_path):
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return results['documents']
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def main():
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st.set_page_config(page_title="Video/Audio Subtitle Generator", layout="wide")
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st.title("🎥🎵 Video/Audio Subtitle Generator")
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with st.sidebar:
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uploaded_file = st.file_uploader("Upload Video/Audio", type=["mp4", "mkv", "mp3", "wav"])
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query = st.text_input("Search Subtitles")
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download_btn = st.button("Download Subtitles")
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subtitles = transcribe_audio(audio_path)
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st.success("Subtitles Generated!")
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# Display the media and subtitles
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if uploaded_file.name.endswith(('.mp4', '.mkv')):
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st.video(uploaded_file)
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else:
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st.audio(uploaded_file)
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st.text_area("Generated Subtitles", subtitles, height=300)
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# Load and search embeddings
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