mirror of
https://github.com/tcsenpai/youlama.git
synced 2025-06-07 03:35:41 +00:00
Modernized UI + share function added
This commit is contained in:
parent
d915ac1b61
commit
69625569fe
@ -2,4 +2,5 @@ OLLAMA_URL=http://localhost:11434
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OLLAMA_MODEL=llama3.1:8b
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OLLAMA_MODEL=llama3.1:8b
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YOUTUBE_API_KEY=your_youtube_api_key
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YOUTUBE_API_KEY=your_youtube_api_key
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WHISPER_URL=http://localhost:8000/
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WHISPER_URL=http://localhost:8000/
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WHISPER_MODEL=Systran/faster-whisper-large-v3
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WHISPER_MODEL=Systran/faster-whisper-large-v3
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PASTEBIN_API_KEY=your_pastebin_api_key
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255
src/main.py
255
src/main.py
@ -7,6 +7,8 @@ from ollama_client import OllamaClient
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from video_info import get_video_info
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from video_info import get_video_info
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from yt_audiophile import download_audio
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from yt_audiophile import download_audio
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from whisper_module import transcribe
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from whisper_module import transcribe
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from pastebin_client import create_paste
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from pathlib import Path
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# Load environment variables
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# Load environment variables
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load_dotenv()
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load_dotenv()
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@ -17,48 +19,108 @@ st.set_page_config(
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page_icon="src/assets/subtitles.png",
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page_icon="src/assets/subtitles.png",
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)
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)
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# Custom CSS for the banner
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# Add this after set_page_config
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st.markdown(
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st.markdown(
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"""
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"""
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<style>
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<style>
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.banner {
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/* Custom styles for the main page */
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position: fixed;
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.stApp {
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top: 60px; /* Adjusted to position below Streamlit header */
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max-width: 1200px;
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left: 0;
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margin: 0 auto;
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right: 0;
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}
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z-index: 998; /* Reduced z-index to be below Streamlit elements */
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display: flex;
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.toggle-header-btn {
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align-items: center;
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padding: 5px 10px;
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justify-content: center;
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border-radius: 5px;
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background-color: black;
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border: 1px solid #4CAF50;
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padding: 0.5rem 1rem;
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background-color: transparent;
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box-shadow: 0 2px 4px rgba(0,0,0,0.1);
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color: #4CAF50;
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}
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cursor: pointer;
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.banner-title {
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transition: all 0.3s;
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color: white;
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}
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text-align: center;
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.toggle-header-btn:hover {
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margin: 0;
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background-color: #4CAF50;
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font-size: 1rem;
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color: white;
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}
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}
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.stApp {
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margin-top: 120px; /* Increased to accommodate both headers */
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/* Improved input styling */
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}
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.stTextInput input {
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border-radius: 5px;
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border: 1px solid #ddd;
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padding: 8px 12px;
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}
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.stTextInput input:focus {
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border-color: #4CAF50;
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box-shadow: 0 0 0 1px #4CAF50;
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}
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/* Button styling */
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.stButton button {
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border-radius: 5px;
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padding: 4px 25px;
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transition: all 0.3s;
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}
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.stButton button:hover {
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transform: translateY(-2px);
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box-shadow: 0 2px 6px rgba(0,0,0,0.1);
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}
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</style>
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</style>
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""",
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""",
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unsafe_allow_html=True,
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unsafe_allow_html=True,
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)
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)
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# Banner with icon and title
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# Initialize session state for messages if not exists
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st.markdown(
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if "messages" not in st.session_state:
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"""
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st.session_state.messages = []
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<div class="banner">
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<h3 class="banner-title" align="center">YouTube Summarizer by TCSenpai</h3>
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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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# Initialize Rich console
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# Create a single header container
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header = st.container()
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def show_warning(message):
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update_header("⚠️ " + message)
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def show_error(message):
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update_header("🚫 " + message)
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def show_info(message):
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update_header("✅ " + message)
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def update_header(message):
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with header:
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st.markdown(
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f"""
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<div class='fixed-header'>
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{message}
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</div>
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<style>
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div.fixed-header {{
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position: fixed;
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top: 2.875rem;
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left: 0;
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right: 0;
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z-index: 999;
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padding: 10px;
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margin: 0 1rem;
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border-radius: 0.5rem;
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border: 1px solid rgba(128, 128, 128, 0.2);
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height: 45px !important;
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background-color: rgba(40, 40, 40, 0.95);
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backdrop-filter: blur(5px);
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
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transition: all 0.3s ease;
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display: flex;
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align-items: center;
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}}
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</style>
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""",
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unsafe_allow_html=True,
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)
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# Initialize the header with a ready message
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update_header("✅ Ready to summarize!")
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# Add spacing after the fixed header
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# st.markdown("<div style='margin-top: 120px;'></div>", unsafe_allow_html=True)
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def get_transcript(video_id):
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def get_transcript(video_id):
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@ -101,11 +163,11 @@ def summarize_video(
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with st.spinner("Fetching transcript..."):
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with st.spinner("Fetching transcript..."):
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transcript = get_transcript(video_id)
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transcript = get_transcript(video_id)
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st.success("Summarizer fetched successfully!")
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show_info("Summarizer fetched successfully!")
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# Forcing whisper if specified
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# Forcing whisper if specified
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if force_whisper:
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if force_whisper:
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st.warning("Forcing whisper...")
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show_warning("Forcing whisper...")
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fallback_to_whisper = True
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fallback_to_whisper = True
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transcript = None
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transcript = None
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@ -115,38 +177,42 @@ def summarize_video(
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print("Fallback to whisper is disabled")
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print("Fallback to whisper is disabled")
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return "Unable to fetch transcript (and fallback to whisper is disabled)"
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return "Unable to fetch transcript (and fallback to whisper is disabled)"
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if not force_whisper:
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if not force_whisper:
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print("Force whisper is disabled")
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show_warning("Unable to fetch transcript. Trying to download audio...")
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st.warning("Unable to fetch transcript. Trying to download audio...")
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try:
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try:
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print("Downloading audio...")
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print("Downloading audio...")
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download_audio(video_url)
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download_audio(video_url)
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st.success("Audio downloaded successfully!")
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show_info("Audio downloaded successfully!")
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st.warning("Starting transcription...it might take a while...")
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show_warning("Starting transcription...it might take a while...")
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transcript = transcribe("downloads/output.m4a")
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transcript = transcribe("downloads/output.m4a")
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st.success("Transcription completed successfully!")
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show_info("Transcription completed successfully!")
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os.remove("downloads/output.m4a")
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os.remove("downloads/output.m4a")
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except Exception as e:
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except Exception as e:
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print(f"Error downloading audio or transcribing: {e}")
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print(f"Error downloading audio or transcribing: {e}")
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st.error(f"Error downloading audio or transcribing: {e}")
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show_error(f"Error downloading audio or transcribing: {e}")
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if os.path.exists("downloads/output.m4a"):
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if os.path.exists("downloads/output.m4a"):
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os.remove("downloads/output.m4a")
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os.remove("downloads/output.m4a")
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return "Unable to fetch transcript."
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return "Unable to fetch transcript."
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print(f"Transcript: {transcript}")
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print(f"Transcript: {transcript}")
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ollama_client = OllamaClient(ollama_url, model)
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ollama_client = OllamaClient(ollama_url, model)
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st.success(f"Ollama client created with model: {model}")
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show_info(f"Ollama client created with model: {model}")
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st.warning("Starting summary generation, this might take a while...")
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show_warning("Starting summary generation, this might take a while...")
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with st.spinner("Generating summary..."):
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with st.spinner("Generating summary..."):
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prompt = f"Summarize the following YouTube video transcript in a concise yet detailed manner:\n\n```{transcript}```\n\nSummary with introduction and conclusion formatted in markdown:"
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prompt = f"Summarize the following YouTube video transcript in a concise yet detailed manner:\n\n```{transcript}```\n\nSummary with introduction and conclusion formatted in markdown:"
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summary = ollama_client.generate(prompt)
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summary = ollama_client.generate(prompt)
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print(summary)
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print(summary)
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st.success("Summary generated successfully!")
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show_info("Summary generated successfully!")
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with st.spinner("Fetching video info..."):
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with st.spinner("Fetching video info..."):
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video_info = get_video_info(video_id)
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video_info = get_video_info(video_id)
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st.success("Video info fetched successfully!")
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st.success("Video info fetched successfully!")
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return f"Title: {video_info['title']}\n\nChannel: {video_info['channel']}\n\nSummary:\n{summary}"
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return {
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"title": video_info["title"],
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"channel": video_info["channel"],
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"transcript": transcript,
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"summary": summary,
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}
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def main():
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def main():
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@ -186,24 +252,55 @@ def main():
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st.caption(f"Whisper model: {whisper_model}")
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st.caption(f"Whisper model: {whisper_model}")
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# Create model selection dropdown
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# Create model selection dropdown
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selected_model = st.selectbox(
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# selected_model = st.selectbox(
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"Select Ollama Model",
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# "Select Ollama Model",
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options=available_models,
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# options=available_models,
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index=(
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# index=(
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available_models.index(default_model)
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# available_models.index(default_model)
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if default_model in available_models
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# if default_model in available_models
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else 0
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# else 0
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),
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# ),
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)
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# )
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video_url = st.text_input("Enter the YouTube video URL:")
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# Use columns for URL and model inputs
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col1, col2 = st.columns([2, 1])
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# Add checkboxes for whisper options
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col1, col2 = st.columns(2)
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with col1:
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with col1:
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force_whisper = st.checkbox("Force Whisper", value=False)
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video_url = st.text_input(
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"Enter the YouTube video URL:",
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placeholder="https://www.youtube.com/watch?v=...",
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)
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with col2:
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with col2:
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fallback_to_whisper = st.checkbox("Fallback to Whisper", value=True)
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selected_model = st.selectbox(
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"Select Ollama Model",
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options=available_models,
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index=(
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available_models.index(default_model)
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if default_model in available_models
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else 0
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),
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)
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# Group Ollama and Whisper settings
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with st.expander("Advanced Settings"):
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col1, col2 = st.columns(2)
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with col1:
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ollama_url = st.text_input(
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"Ollama URL",
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value=default_ollama_url,
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placeholder="Enter custom Ollama URL",
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)
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with col2:
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whisper_url = st.text_input(
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"Whisper URL",
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value=default_whisper_url,
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placeholder="Enter custom Whisper URL",
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)
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col1, col2 = st.columns(2)
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with col1:
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force_whisper = st.checkbox("Force Whisper", value=False)
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with col2:
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fallback_to_whisper = st.checkbox("Fallback to Whisper", value=True)
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# Support any video that has a valid YouTube ID
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# Support any video that has a valid YouTube ID
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if not "https://www.youtube.com/watch?v=" or "https://youtu.be/" in video_url:
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if not "https://www.youtube.com/watch?v=" or "https://youtu.be/" in video_url:
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@ -226,8 +323,42 @@ def main():
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fallback_to_whisper=fallback_to_whisper,
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fallback_to_whisper=fallback_to_whisper,
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force_whisper=force_whisper,
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force_whisper=force_whisper,
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)
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)
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st.subheader("Video Information:")
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st.write(f"**Title:** {summary['title']}")
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st.write(f"**Channel:** {summary['channel']}")
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st.subheader("Summary:")
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st.subheader("Summary:")
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st.write(summary)
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st.write(summary["summary"])
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st.subheader("Original Transcript:")
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st.text_area(
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"Full Transcript", summary["transcript"], height=300, disabled=True
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)
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# Share button moved here, after the transcript
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if st.button("Share Transcript"):
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try:
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content = f"""Video Title: {summary['title']}
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Channel: {summary['channel']}
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URL: {video_url}
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--- Transcript ---
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{summary['transcript']}"""
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paste_url = create_paste(
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f"Transcript: {summary['title']}", content
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)
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st.success(
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f"Transcript shared successfully! [View here]({paste_url})"
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)
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except Exception as e:
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if "PASTEBIN_API_KEY" not in os.environ:
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st.warning(
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"PASTEBIN_API_KEY not found in environment variables"
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)
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else:
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st.error(f"Error sharing transcript: {str(e)}")
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else:
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else:
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st.error("Please enter a valid YouTube video URL.")
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st.error("Please enter a valid YouTube video URL.")
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26
src/pastebin_client.py
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26
src/pastebin_client.py
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@ -0,0 +1,26 @@
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import requests
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import os
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from dotenv import load_dotenv
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load_dotenv()
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def create_paste(title, content):
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api_key = os.getenv("PASTEBIN_API_KEY")
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if not api_key:
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raise Exception("PASTEBIN_API_KEY not found in environment variables")
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url = 'https://pastebin.com/api/api_post.php'
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data = {
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'api_dev_key': api_key,
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'api_option': 'paste',
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'api_paste_code': content,
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'api_paste_private': '0', # 0=public, 1=unlisted, 2=private
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'api_paste_name': title,
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'api_paste_expire_date': '1W' # Expires in 1 week
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}
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response = requests.post(url, data=data)
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if response.status_code == 200 and not response.text.startswith('Bad API request'):
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return response.text
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else:
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raise Exception(f"Error creating paste: {response.text}")
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