Spaces:
Running
Running
Add Dockerfile and Streamlit configuration; implement video download with alternative YouTube sources, enhance error handling, and improve file upload processing
Browse files- .vscode/tasks.json +13 -0
- Dockerfile +18 -18
- README.md +61 -2
- requirements.txt +4 -1
- src/streamlit_app.py +214 -30
.vscode/tasks.json
ADDED
@@ -0,0 +1,13 @@
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{
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"version": "2.0.0",
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"tasks": [
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{
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"label": "Build and Run Accent Detector",
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"type": "shell",
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"command": "docker build -t accent-detector . && docker run -p 8501:8501 --volume ${env:TEMP}/accent-detector:/app/uploads --volume ${env:TEMP}/huggingface-cache:/app/.cache/huggingface accent-detector",
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"group": "build",
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"problemMatcher": [],
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"isBackground": false
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}
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]
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}
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Dockerfile
CHANGED
@@ -3,7 +3,13 @@ FROM python:3.9-slim
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# Set environment variables
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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MPLCONFIGDIR=/tmp/matplotlib
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WORKDIR /app
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Create necessary directories
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RUN mkdir -p /app/tmp_model /tmp/matplotlib /app/uploads
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RUN chmod -R 777 /app/uploads /app/tmp_model /tmp/matplotlib
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# Copy requirements first (for better caching)
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COPY requirements.txt .
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# Copy source code
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COPY src/ ./src/
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#
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-
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-
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-
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-
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-
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echo "maxUploadSize = 200" >> ./.streamlit/config.toml && \
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echo "enableXsrfProtection = false" >> ./.streamlit/config.toml && \
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echo "" >> ./.streamlit/config.toml && \
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echo "[browser]" >> ./.streamlit/config.toml && \
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echo "gatherUsageStats = false" >> ./.streamlit/config.toml && \
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echo "" >> ./.streamlit/config.toml && \
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echo "[runner]" >> ./.streamlit/config.toml && \
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echo "fastReruns = true" >> ./.streamlit/config.toml
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# Expose port
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EXPOSE 8501
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# Set environment variables
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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MPLCONFIGDIR=/tmp/matplotlib \
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TRANSFORMERS_CACHE=/app/.cache/huggingface \
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HF_HOME=/app/.cache/huggingface \
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XDG_CACHE_HOME=/app/.cache \
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PYTHONIOENCODING=utf-8 \
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TOKENIZERS_PARALLELISM=false \
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HF_HUB_DISABLE_SYMLINKS_WARNING=1
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WORKDIR /app
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/*
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# Create necessary directories with proper permissions
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RUN mkdir -p /app/tmp_model /tmp/matplotlib /app/uploads /app/.cache/huggingface /app/.streamlit /app/.config /root/.cache/huggingface
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RUN chmod -R 777 /app/uploads /app/tmp_model /tmp/matplotlib /app/.cache /app/.streamlit /app/.config /root/.cache
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# Create symbolic link to ensure both user and root can access cache
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RUN ln -sf /app/.cache/huggingface /root/.cache/huggingface
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# Copy requirements first (for better caching)
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COPY requirements.txt .
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# Copy source code
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COPY src/ ./src/
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# Copy the Streamlit directory with configuration
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COPY .streamlit/ ./.streamlit/
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# Set proper permissions on the Streamlit configuration
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RUN chmod -R 755 ./.streamlit && \
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chmod 644 ./.streamlit/config.toml
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# Expose port
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EXPOSE 8501
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README.md
CHANGED
@@ -42,10 +42,16 @@ This app analyzes a speaker's English accent from video URLs or audio uploads, p
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If you encounter errors like `Sign in to confirm you're not a bot` when using YouTube videos:
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1. **Use a different video source
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- Try using Loom, Vimeo, or direct MP4 links instead of YouTube
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2. **
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- The app supports uploading a cookies.txt file for YouTube authentication
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- You can export cookies from your browser using browser extensions like "Get cookies.txt"
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- Or use yt-dlp's built-in browser cookie extraction:
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```
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- Upload the generated cookies file in the app interface
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## Technology Stack
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- **Audio Processing**: FFmpeg, Librosa
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- **ML Models**: SpeechBrain, Transformers
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3. For longer files, consider extracting just the speech segment
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4. If uploading an MP4 video, ensure it's not encrypted or DRM-protected
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## Powered By
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- [SpeechBrain](https://huggingface.co/speechbrain/lang-id-commonlanguage_ecapa)
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- [Hugging Face Transformers](https://huggingface.co/speechbrain/lang-id-voxlingua107-ecapa)
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If you encounter errors like `Sign in to confirm you're not a bot` when using YouTube videos:
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1. **Use a different video source** (RECOMMENDED):
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- Try using Loom, Vimeo, or direct MP4 links instead of YouTube
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- These sources are more reliable and have fewer authentication requirements
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2. **Use alternative YouTube frontends**:
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- The app now automatically tries alternative YouTube frontends (Invidious, Piped)
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- Make sure the "Try alternative YouTube source" checkbox is checked
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- These frontend services can bypass some YouTube restrictions
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3. **Using cookies for YouTube authentication**:
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- The app supports uploading a cookies.txt file for YouTube authentication
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- You can export cookies from your browser using browser extensions like "Get cookies.txt"
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- Or use yt-dlp's built-in browser cookie extraction:
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```
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- Upload the generated cookies file in the app interface
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4. **Update yt-dlp for better YouTube support**:
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- If running outside Docker, update yt-dlp to the latest version:
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```
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pip install -U yt-dlp
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```
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- YouTube frequently updates its anti-bot measures, and newer yt-dlp versions often have fixes
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## Technology Stack
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- **Audio Processing**: FFmpeg, Librosa
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- **ML Models**: SpeechBrain, Transformers
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3. For longer files, consider extracting just the speech segment
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4. If uploading an MP4 video, ensure it's not encrypted or DRM-protected
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### Troubleshooting Hugging Face Cache Issues
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If you encounter errors related to Hugging Face model loading or cache permissions:
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1. **Ensure proper volume mounts and permissions**:
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```bash
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# Create local directories with proper permissions
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mkdir -p /tmp/accent-detector /tmp/huggingface-cache
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chmod 777 /tmp/accent-detector /tmp/huggingface-cache
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# Run with multiple volume mounts for both uploads and cache
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docker run -p 8501:8501 \
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--volume /tmp/accent-detector:/app/uploads \
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--volume /tmp/huggingface-cache:/app/.cache/huggingface \
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accent-detector
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```
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On Windows:
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```powershell
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# Create directories
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mkdir -Force C:\temp\accent-detector
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mkdir -Force C:\temp\huggingface-cache
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# Run with volume mounts
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docker run -p 8501:8501 `
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--volume C:\temp\accent-detector:/app/uploads `
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--volume C:\temp\huggingface-cache:/app/.cache/huggingface `
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accent-detector
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```
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2. **Reset the container and cache**:
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```bash
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# Stop any running containers
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docker stop $(docker ps -q --filter ancestor=accent-detector)
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# Remove the container
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docker rm $(docker ps -a -q --filter ancestor=accent-detector)
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# Optionally clear the cache directories
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rm -rf /tmp/accent-detector/* /tmp/huggingface-cache/*
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# Rebuild and run
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docker build --no-cache -t accent-detector .
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docker run -p 8501:8501 --volume /tmp/accent-detector:/app/uploads --volume /tmp/huggingface-cache:/app/.cache/huggingface accent-detector
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```
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## Powered By
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- [SpeechBrain](https://huggingface.co/speechbrain/lang-id-commonlanguage_ecapa)
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- [Hugging Face Transformers](https://huggingface.co/speechbrain/lang-id-voxlingua107-ecapa)
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requirements.txt
CHANGED
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streamlit==1.31.0
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-
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# Use a specific stable version of SpeechBrain
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speechbrain==0.5.14
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torch==2.0.1
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streamlit==1.31.0
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# Updated yt-dlp for better YouTube support
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yt_dlp==2024.03.10
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requests==2.32.0
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beautifulsoup4==4.12.2
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# Use a specific stable version of SpeechBrain
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speechbrain==0.5.14
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torch==2.0.1
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src/streamlit_app.py
CHANGED
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def download_video(url, video_path="video.mp4", cookies_file=None):
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"""Download a video from a URL"""
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ydl_opts = {
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"outtmpl": video_path,
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"quiet": False,
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"
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"
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}
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#
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# Don't try to access browser cookies in Docker container
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if cookies_file and os.path.exists(cookies_file):
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ydl_opts["cookiefile"] = cookies_file
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try:
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if os.path.exists(video_path):
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return True
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else:
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st.error(f"Video downloaded but file not found: {video_path}")
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return False
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except Exception as e:
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error_msg = str(e)
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st.error(f"Download error: {error_msg}")
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# Provide specific guidance based on error type
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if is_youtube and ("bot" in error_msg.lower() or "sign in" in error_msg.lower()):
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st.warning("YouTube requires authentication. Please
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elif "not find" in error_msg.lower() and "cookies" in error_msg.lower():
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st.warning("Browser cookies could not be accessed. Please upload a cookies.txt file.")
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elif "network" in error_msg.lower() or "timeout" in error_msg.lower():
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st.warning("Network error. Please check your internet connection and try again.")
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return False
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def extract_audio(video_path="video.mp4", audio_path="audio.wav"):
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"""Extract audio from video file using ffmpeg"""
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timestamp = str(int(time.time()))
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file_extension = os.path.splitext(uploaded_file.name)[1].lower()
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#
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-
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with open(temp_input_path, "wb") as f:
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f.write(uploaded_file.getbuffer())
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-
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# For MP4 files, extract the audio using ffmpeg
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if file_extension == ".mp4":
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st.info("Extracting audio from video file...")
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audio_path = f"extracted_audio_{timestamp}.wav"
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try:
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subprocess.run(
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['ffmpeg', '-i', temp_input_path, '-vn', '-acodec', 'pcm_s16le', '-ar', '16000', '-ac', '1', audio_path],
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st.error(f"ffmpeg output: {e.stderr.decode('utf-8')}")
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raise
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else:
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# For audio files,
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-
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detector = AccentDetector()
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results = detector.analyze_audio(audio_path)
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url = st.text_input("Enter a public video URL",
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placeholder="https://www.loom.com/..., https://vimeo.com/..., or direct MP4 link")
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# Recommend alternative sources
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st.caption("⚠️ **Note**: YouTube videos often require authentication. For best results, use Loom, Vimeo or direct video links.")
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help="Support for WAV, MP3, M4A, OGG, FLAC and MP4 formats",
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accept_multiple_files=False)
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if uploaded_file is not None:
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# Show a preview of the audio
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st.markdown("#### Audio Preview:")
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st.audio(uploaded_file)
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st.markdown("#### Ready for Analysis")
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col1, col2 = st.columns([1, 3])
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with col1:
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analyze_button = st.button("Analyze Audio", type="primary", use_container_width=True)
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with col2:
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st.caption("Tip: 15-30 seconds of clear speech works best for accent detection")
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if analyze_button:
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with st.spinner("Analyzing audio... (this may take 15-30 seconds)"):
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try:
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st.error(f"File size ({file_size_mb:.1f}MB) is too large. Maximum allowed is 190MB.")
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st.info("Tip: Try trimming your audio to just the speech segment for better results.")
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else:
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# Check the file type and inform user about processing steps
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file_extension = os.path.splitext(uploaded_file.name)[1].lower()
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if file_extension == '.mp4':
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st.info("Processing video file - extracting audio track...")
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#
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-
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# Display results
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st.success("✅ Analysis Complete!")
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with col2:
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if results['audio_viz']:
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st.pyplot(results['audio_viz'])
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-
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except subprocess.CalledProcessError as e:
|
584 |
st.error("Error processing audio file")
|
585 |
st.error(f"FFmpeg error: {e.stderr.decode('utf-8') if e.stderr else str(e)}")
|
586 |
st.info("Troubleshooting tips:\n"
|
587 |
-
|
588 |
-
|
589 |
-
|
590 |
|
591 |
except PermissionError as e:
|
592 |
st.error(f"Permission error: {str(e)}")
|
593 |
st.info("The app doesn't have permission to access or create temporary files. "
|
594 |
-
|
595 |
-
|
596 |
|
597 |
except OSError as e:
|
598 |
st.error(f"System error: {str(e)}")
|
|
|
91 |
|
92 |
def download_video(url, video_path="video.mp4", cookies_file=None):
|
93 |
"""Download a video from a URL"""
|
94 |
+
|
95 |
+
# Determine if this is a YouTube URL
|
96 |
+
is_youtube = "youtube" in url.lower() or "youtu.be" in url.lower()
|
97 |
+
|
98 |
+
# Create a unique directory for each download to avoid permission issues
|
99 |
+
timestamp = str(int(time.time()))
|
100 |
+
|
101 |
+
# Use proper temp directory for Windows or Linux
|
102 |
+
if os.name == 'nt': # Windows
|
103 |
+
temp_dir = os.path.join(os.environ.get('TEMP', 'C:\\temp'), f"video_download_{timestamp}")
|
104 |
+
else: # Linux/Mac
|
105 |
+
temp_dir = f"/tmp/video_download_{timestamp}"
|
106 |
+
|
107 |
+
os.makedirs(temp_dir, exist_ok=True)
|
108 |
+
|
109 |
+
# Set correct permissions for the temp directory
|
110 |
+
try:
|
111 |
+
os.chmod(temp_dir, 0o777) # Full permissions for all users
|
112 |
+
except Exception as e:
|
113 |
+
st.warning(f"Could not set directory permissions: {str(e)}. Continuing anyway.")
|
114 |
+
|
115 |
+
# Use the temp directory for the video path
|
116 |
+
if not os.path.isabs(video_path):
|
117 |
+
video_path = os.path.join(temp_dir, video_path)
|
118 |
+
|
119 |
ydl_opts = {
|
120 |
"outtmpl": video_path,
|
121 |
"quiet": False,
|
122 |
+
"verbose": True, # More detailed output for debugging
|
123 |
+
"format": "bestaudio/best", # Prefer audio formats since we only need audio
|
124 |
+
"postprocessors": [{
|
125 |
+
"key": "FFmpegExtractAudio",
|
126 |
+
"preferredcodec": "wav",
|
127 |
+
}] if is_youtube else [], # Extract audio directly for YouTube
|
128 |
+
"noplaylist": True,
|
129 |
+
"extractor_retries": 5, # Increased from 3 to 5
|
130 |
+
"socket_timeout": 45, # Increased from 30 to 45
|
131 |
+
"retry_sleep_functions": {
|
132 |
+
"http": lambda n: 5 * (n + 1), # 5, 10, 15, 20, 25 seconds
|
133 |
+
},
|
134 |
+
"nocheckcertificate": True, # Skip HTTPS certificate validation
|
135 |
+
"ignoreerrors": False, # Don't ignore errors (we want to handle them)
|
136 |
}
|
137 |
|
138 |
+
# Add cookies if provided
|
|
|
139 |
if cookies_file and os.path.exists(cookies_file):
|
140 |
ydl_opts["cookiefile"] = cookies_file
|
141 |
+
st.info("Using provided cookies file for authentication")
|
142 |
+
|
143 |
+
# Set permissions on cookies file to make sure it's readable
|
144 |
+
try:
|
145 |
+
os.chmod(cookies_file, 0o644) # Read-write for owner, read-only for others
|
146 |
+
except Exception as e:
|
147 |
+
st.warning(f"Could not set permissions on cookies file: {str(e)}. Continuing anyway.")
|
148 |
+
|
149 |
+
# Setup environment variables for cache directories
|
150 |
+
os.environ['HOME'] = temp_dir # Set HOME to our temp dir for YouTube-DL cache
|
151 |
+
os.environ['XDG_CACHE_HOME'] = os.path.join(temp_dir, '.cache') # For Linux
|
152 |
+
os.environ['APPDATA'] = temp_dir # For Windows
|
153 |
|
154 |
try:
|
155 |
+
if is_youtube:
|
156 |
+
st.info("Attempting to download from YouTube. This might take longer...")
|
157 |
+
|
158 |
+
# List of alternative YouTube frontends to try
|
159 |
+
youtube_alternatives = [
|
160 |
+
(url, "Standard YouTube"),
|
161 |
+
(url.replace("youtube.com", "yewtu.be"), "Invidious (yewtu.be)"),
|
162 |
+
(url.replace("youtube.com", "piped.video"), "Piped"),
|
163 |
+
(url.replace("youtube.com", "inv.riverside.rocks"), "Invidious (riverside)")
|
164 |
+
]
|
165 |
+
|
166 |
+
# If youtu.be is used, create proper alternatives
|
167 |
+
if "youtu.be" in url.lower():
|
168 |
+
video_id = url.split("/")[-1].split("?")[0]
|
169 |
+
youtube_alternatives = [
|
170 |
+
(url, "Standard YouTube"),
|
171 |
+
(f"https://yewtu.be/watch?v={video_id}", "Invidious (yewtu.be)"),
|
172 |
+
(f"https://piped.video/watch?v={video_id}", "Piped"),
|
173 |
+
(f"https://inv.riverside.rocks/watch?v={video_id}", "Invidious (riverside)")
|
174 |
+
]
|
175 |
+
|
176 |
+
success = False
|
177 |
+
|
178 |
+
for alt_url, alt_name in youtube_alternatives:
|
179 |
+
if alt_url == url and alt_name != "Standard YouTube":
|
180 |
+
continue # Skip redundant first entry
|
181 |
+
|
182 |
+
st.info(f"Trying {alt_name}... Please wait.")
|
183 |
+
|
184 |
+
try:
|
185 |
+
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
|
186 |
+
ydl.download([alt_url])
|
187 |
+
|
188 |
+
# If we get here without exception, it worked
|
189 |
+
st.success(f"Successfully downloaded using {alt_name}")
|
190 |
+
success = True
|
191 |
+
break
|
192 |
+
|
193 |
+
except Exception as download_error:
|
194 |
+
error_msg = str(download_error)
|
195 |
+
st.warning(f"{alt_name} download attempt failed: {error_msg}")
|
196 |
+
|
197 |
+
# Break early if it's a permission issue to avoid trying alternatives
|
198 |
+
if "permission" in error_msg.lower() or "access" in error_msg.lower():
|
199 |
+
st.error("Permission error detected. Stopping download attempts.")
|
200 |
+
raise download_error
|
201 |
|
202 |
+
# If all attempts failed
|
203 |
+
if not success:
|
204 |
+
st.error("All YouTube download methods failed.")
|
205 |
+
return False
|
206 |
+
|
207 |
+
else:
|
208 |
+
# For non-YouTube URLs
|
209 |
+
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
|
210 |
+
ydl.download([url])
|
211 |
+
|
212 |
+
# Check if download was successful
|
213 |
if os.path.exists(video_path):
|
214 |
return True
|
215 |
else:
|
216 |
+
# Look for any downloaded files in the temp directory - more comprehensive search
|
217 |
+
downloaded_files = []
|
218 |
+
for root, _, files in os.walk(temp_dir):
|
219 |
+
for file in files:
|
220 |
+
if file.endswith(('.mp4', '.mp3', '.wav', '.m4a')):
|
221 |
+
downloaded_files.append(os.path.join(root, file))
|
222 |
+
|
223 |
+
if downloaded_files:
|
224 |
+
# Use the first media file found
|
225 |
+
first_file = downloaded_files[0]
|
226 |
+
try:
|
227 |
+
# Copy instead of move to avoid cross-device link issues
|
228 |
+
import shutil
|
229 |
+
shutil.copy(first_file, video_path)
|
230 |
+
return True
|
231 |
+
except Exception as copy_error:
|
232 |
+
st.error(f"Error copying downloaded file: {str(copy_error)}")
|
233 |
+
return False
|
234 |
+
|
235 |
st.error(f"Video downloaded but file not found: {video_path}")
|
236 |
return False
|
237 |
+
|
238 |
except Exception as e:
|
239 |
error_msg = str(e)
|
240 |
st.error(f"Download error: {error_msg}")
|
241 |
|
242 |
# Provide specific guidance based on error type
|
243 |
+
if is_youtube and ("bot" in error_msg.lower() or "sign in" in error_msg.lower() or "403" in error_msg):
|
244 |
+
st.warning("⚠️ YouTube requires authentication. Please try one of these solutions:")
|
245 |
+
st.markdown("""
|
246 |
+
1. **Upload a cookies.txt file** using the file uploader above
|
247 |
+
2. **Try a different video source** like Loom, Vimeo or direct MP3/WAV files
|
248 |
+
3. **Use the Audio Upload tab** instead of YouTube URLs
|
249 |
+
""")
|
250 |
elif "not find" in error_msg.lower() and "cookies" in error_msg.lower():
|
251 |
st.warning("Browser cookies could not be accessed. Please upload a cookies.txt file.")
|
252 |
elif "network" in error_msg.lower() or "timeout" in error_msg.lower():
|
253 |
st.warning("Network error. Please check your internet connection and try again.")
|
254 |
+
elif "permission" in error_msg.lower():
|
255 |
+
st.warning("Permission error. The application doesn't have access to create or write files in the temporary directory.")
|
256 |
+
st.info("Try running the Docker container with the proper volume mounts: `docker run -p 8501:8501 --volume /tmp/accent-detector:/app/uploads accent-detector`")
|
257 |
+
elif "not found" in error_msg.lower() and "ffmpeg" in error_msg.lower():
|
258 |
+
st.error("FFmpeg is not installed or not found in PATH.")
|
259 |
+
st.info("If running locally, please install FFmpeg. If using Docker, the container may be misconfigured.")
|
260 |
|
261 |
return False
|
262 |
+
finally:
|
263 |
+
# Clean up temp directory if it still exists
|
264 |
+
try:
|
265 |
+
if os.path.exists(temp_dir) and ("tmp" in temp_dir or "temp" in temp_dir.lower()):
|
266 |
+
import shutil
|
267 |
+
shutil.rmtree(temp_dir)
|
268 |
+
except Exception as cleanup_error:
|
269 |
+
st.warning(f"Could not clean up temporary directory: {str(cleanup_error)}")
|
270 |
+
pass
|
271 |
|
272 |
def extract_audio(video_path="video.mp4", audio_path="audio.wav"):
|
273 |
"""Extract audio from video file using ffmpeg"""
|
|
|
474 |
timestamp = str(int(time.time()))
|
475 |
file_extension = os.path.splitext(uploaded_file.name)[1].lower()
|
476 |
|
477 |
+
# Create an uploads directory if it doesn't exist
|
478 |
+
uploads_dir = os.path.join(os.getcwd(), "uploads")
|
479 |
+
os.makedirs(uploads_dir, exist_ok=True)
|
480 |
+
|
481 |
+
# Write the uploaded file to disk with proper extension in the uploads directory
|
482 |
+
temp_input_path = os.path.join(uploads_dir, f"uploaded_audio_{timestamp}{file_extension}")
|
483 |
with open(temp_input_path, "wb") as f:
|
484 |
f.write(uploaded_file.getbuffer())
|
485 |
+
# For MP4 files, extract the audio using ffmpeg
|
|
|
486 |
if file_extension == ".mp4":
|
487 |
st.info("Extracting audio from video file...")
|
488 |
+
audio_path = os.path.join(uploads_dir, f"extracted_audio_{timestamp}.wav")
|
489 |
try:
|
490 |
subprocess.run(
|
491 |
['ffmpeg', '-i', temp_input_path, '-vn', '-acodec', 'pcm_s16le', '-ar', '16000', '-ac', '1', audio_path],
|
|
|
499 |
st.error(f"ffmpeg output: {e.stderr.decode('utf-8')}")
|
500 |
raise
|
501 |
else:
|
502 |
+
# For audio files, process based on format
|
503 |
+
if file_extension in [".mp3", ".m4a", ".ogg", ".flac"]:
|
504 |
+
# Convert to WAV for better compatibility
|
505 |
+
audio_path = os.path.join(uploads_dir, f"converted_audio_{timestamp}.wav")
|
506 |
+
try:
|
507 |
+
subprocess.run(
|
508 |
+
['ffmpeg', '-i', temp_input_path, '-ar', '16000', '-ac', '1', '-c:a', 'pcm_s16le', audio_path],
|
509 |
+
check=True,
|
510 |
+
capture_output=True
|
511 |
+
)
|
512 |
+
# Keep original file for reference but continue with WAV
|
513 |
+
except subprocess.CalledProcessError as e:
|
514 |
+
st.warning(f"Conversion warning: {e}. Using original file.")
|
515 |
+
audio_path = temp_input_path
|
516 |
+
else:
|
517 |
+
# For already WAV files, use them directly
|
518 |
+
audio_path = temp_input_path
|
519 |
|
520 |
detector = AccentDetector()
|
521 |
results = detector.analyze_audio(audio_path)
|
|
|
573 |
url = st.text_input("Enter a public video URL",
|
574 |
placeholder="https://www.loom.com/..., https://vimeo.com/..., or direct MP4 link")
|
575 |
|
576 |
+
# Add alternative invidious frontend option for YouTube
|
577 |
+
use_alternative = st.checkbox("Try alternative YouTube source (for authentication issues)",
|
578 |
+
value=True,
|
579 |
+
help="Uses an alternative frontend (Invidious) that may bypass YouTube restrictions")
|
580 |
+
|
581 |
# Recommend alternative sources
|
582 |
st.caption("⚠️ **Note**: YouTube videos often require authentication. For best results, use Loom, Vimeo or direct video links.")
|
583 |
|
|
|
696 |
help="Support for WAV, MP3, M4A, OGG, FLAC and MP4 formats",
|
697 |
accept_multiple_files=False)
|
698 |
|
699 |
+
if uploaded_file is not None: # Show a preview of the audio
|
|
|
700 |
st.markdown("#### Audio Preview:")
|
701 |
st.audio(uploaded_file)
|
|
|
702 |
st.markdown("#### Ready for Analysis")
|
703 |
col1, col2 = st.columns([1, 3])
|
704 |
with col1:
|
705 |
analyze_button = st.button("Analyze Audio", type="primary", use_container_width=True)
|
706 |
with col2:
|
707 |
st.caption("Tip: 15-30 seconds of clear speech works best for accent detection")
|
708 |
+
|
709 |
if analyze_button:
|
710 |
with st.spinner("Analyzing audio... (this may take 15-30 seconds)"):
|
711 |
try:
|
|
|
715 |
st.error(f"File size ({file_size_mb:.1f}MB) is too large. Maximum allowed is 190MB.")
|
716 |
st.info("Tip: Try trimming your audio to just the speech segment for better results.")
|
717 |
else:
|
718 |
+
# Create a progress bar to show processing stages
|
719 |
+
progress_bar = st.progress(0)
|
720 |
+
|
721 |
# Check the file type and inform user about processing steps
|
722 |
file_extension = os.path.splitext(uploaded_file.name)[1].lower()
|
723 |
if file_extension == '.mp4':
|
724 |
st.info("Processing video file - extracting audio track...")
|
725 |
+
elif file_extension in ['.mp3', '.m4a', '.ogg', '.flac']:
|
726 |
+
st.info(f"Processing {file_extension} audio file...")
|
727 |
+
|
728 |
+
progress_bar.progress(25, text="Saving file...")
|
729 |
|
730 |
+
# First save the file to a known location to bypass 403 errors
|
731 |
+
# Create an uploads directory if it doesn't exist
|
732 |
+
uploads_dir = os.path.join(os.getcwd(), "uploads")
|
733 |
+
os.makedirs(uploads_dir, exist_ok=True)
|
734 |
|
735 |
+
# Save the file first to avoid streaming it multiple times
|
736 |
+
temp_file_path = os.path.join(uploads_dir, f"temp_{int(time.time())}_{uploaded_file.name}")
|
737 |
+
with open(temp_file_path, "wb") as f:
|
738 |
+
f.write(uploaded_file.getbuffer())
|
739 |
+
|
740 |
+
progress_bar.progress(50, text="Analyzing audio...")
|
741 |
+
|
742 |
+
# Now process from the saved file
|
743 |
+
with open(temp_file_path, "rb") as f:
|
744 |
+
# Create a new UploadedFile object from the saved file
|
745 |
+
file_content = f.read()
|
746 |
+
results = process_uploaded_audio(uploaded_file)
|
747 |
+
|
748 |
+
progress_bar.progress(100, text="Analysis complete!")
|
749 |
# Display results
|
750 |
st.success("✅ Analysis Complete!")
|
751 |
|
|
|
764 |
with col2:
|
765 |
if results['audio_viz']:
|
766 |
st.pyplot(results['audio_viz'])
|
767 |
+
except subprocess.CalledProcessError as e:
|
|
|
768 |
st.error("Error processing audio file")
|
769 |
st.error(f"FFmpeg error: {e.stderr.decode('utf-8') if e.stderr else str(e)}")
|
770 |
st.info("Troubleshooting tips:\n"
|
771 |
+
"• Try a different audio file format (WAV or MP3 recommended)\n"
|
772 |
+
"• Make sure the file is not corrupted\n"
|
773 |
+
"• Try a shorter audio clip")
|
774 |
|
775 |
except PermissionError as e:
|
776 |
st.error(f"Permission error: {str(e)}")
|
777 |
st.info("The app doesn't have permission to access or create temporary files. "
|
778 |
+
"This could be due to Docker container permissions. "
|
779 |
+
"Contact the administrator or try using a different file.")
|
780 |
|
781 |
except OSError as e:
|
782 |
st.error(f"System error: {str(e)}")
|