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| # app.py - FIXED VERSION | |
| import streamlit as st | |
| import os | |
| import sys | |
| # MUST BE FIRST STREAMLIT COMMAND | |
| st.set_page_config( | |
| page_title="English Language & Accent Detection", | |
| page_icon="🌍", | |
| layout="centered" | |
| ) | |
| # STREAMLIT CLOUD OPTIMIZATIONS | |
| import torch | |
| torch.set_num_threads(1) # Reduce CPU usage | |
| os.environ['TOKENIZERS_PARALLELISM'] = 'false' # Avoid threading issues | |
| # Add error handling for imports | |
| try: | |
| from utils import download_video, extract_audio, analyze_speech, cleanup_files | |
| except ImportError as e: | |
| st.error(f"❌ Import Error: {e}") | |
| st.info("This might be a deployment issue. Please check the logs.") | |
| st.stop() | |
| st.title("🌍 English Language & Accent Detection Tool") | |
| st.write("Upload a video to first detect if the speaker is speaking English, then analyze their English accent.") | |
| # Add a warning for Streamlit Cloud users | |
| st.info("⚠️ **Note**: First-time model loading may take 2-3 minutes. Please be patient!") | |
| # Information section | |
| with st.expander("ℹ️ How this tool works"): | |
| st.write(""" | |
| ## Two-Step Analysis Process: | |
| ### Step 1: Language Detection 🌍 | |
| - **Detects what language** the speaker is using | |
| - **Supports 107+ languages** using advanced AI models | |
| - **Only proceeds to accent analysis** if English is detected | |
| ### Step 2: English Accent Analysis 🎯 (Only if English detected) | |
| - **16 different English accents** can be identified: | |
| - American, British (England), Australian, Indian, Canadian | |
| - Scottish, Irish, Welsh, South African, New Zealand | |
| - Malaysian, Filipino, Singaporean, Hong Kong, Bermudian, South Atlantic | |
| ## Perfect for: | |
| ✅ **Recruitment screening** - Verify English language candidates | |
| ✅ **Language assessment** - Determine if applicant speaks English | |
| ✅ **Accent identification** - Identify specific English accent varieties | |
| ✅ **Call center hiring** - Screen for English-speaking candidates | |
| ## Requirements: | |
| - Direct video file URL (MP4, AVI, MOV, etc.) | |
| - Clear audio with minimal background noise | |
| - At least 10-15 seconds of speech | |
| - Single speaker preferred | |
| """) | |
| # URL input | |
| video_url = st.text_input( | |
| "🔗 Video URL:", | |
| placeholder="https://example.com/video.mp4", | |
| help="Enter a direct link to a video file" | |
| ) | |
| # Analysis button | |
| if st.button("🔍 Analyze Language & Accent", type="primary"): | |
| if not video_url.strip(): | |
| st.warning("⚠️ Please enter a video URL first.") | |
| else: | |
| video_path = None | |
| audio_path = None | |
| try: | |
| # Download video | |
| with st.spinner("📥 Downloading video..."): | |
| video_path = download_video(video_url.strip()) | |
| if not video_path or not os.path.exists(video_path): | |
| st.error("❌ **Video download failed!**") | |
| st.write("**Possible reasons:**") | |
| st.write("- URL is not a direct link to a video file") | |
| st.write("- Video is behind authentication/login") | |
| st.write("- Server is blocking requests") | |
| st.write("- URL is incorrect or video doesn't exist") | |
| st.stop() | |
| st.success(f"✅ Video downloaded ({os.path.getsize(video_path):,} bytes)") | |
| # Extract audio | |
| with st.spinner("🎵 Extracting audio..."): | |
| audio_path = extract_audio(video_path) | |
| if not audio_path or not os.path.exists(audio_path): | |
| st.error("❌ **Audio extraction failed!**") | |
| st.write("**Possible reasons:**") | |
| st.write("- Video file is corrupted") | |
| st.write("- Video format not supported") | |
| st.write("- Video has no audio track") | |
| st.write("- FFmpeg is not properly installed") | |
| st.stop() | |
| st.success(f"✅ Audio extracted ({os.path.getsize(audio_path):,} bytes)") | |
| # Analyze speech | |
| with st.spinner("🧠 Analyzing language and accent... This may take 2-3 minutes on first run..."): | |
| try: | |
| is_english, language, accent, lang_confidence, accent_confidence = analyze_speech(audio_path) | |
| # Display results | |
| st.markdown("---") | |
| st.markdown("### 🎯 Analysis Results") | |
| if not is_english: | |
| # NOT ENGLISH | |
| st.error("❌ **Speaker is NOT speaking English**") | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.metric( | |
| label="Detected Language", | |
| value=language.title() | |
| ) | |
| with col2: | |
| st.metric( | |
| label="Confidence", | |
| value=f"{lang_confidence:.1f}%" | |
| ) | |
| st.info("💡 **For English accent analysis, please provide a video where the speaker is speaking English.**") | |
| with st.expander("🌍 About Language Detection"): | |
| st.write(f""" | |
| **Detected Language:** {language.title()} | |
| **Detection Confidence:** {lang_confidence:.1f}% | |
| This tool first detects what language is being spoken before proceeding to accent analysis. | |
| Since the speaker appears to be speaking **{language.title()}** rather than English, | |
| we cannot proceed with English accent detection. | |
| **To get English accent analysis:** | |
| - Provide a video where the speaker is clearly speaking English | |
| - Ensure the audio quality is good | |
| - Make sure there's at least 10-15 seconds of speech | |
| """) | |
| else: | |
| # IS ENGLISH - Show accent results | |
| st.success("✅ **Speaker IS speaking English!**") | |
| # Main metrics | |
| col1, col2, col3 = st.columns(3) | |
| with col1: | |
| st.metric( | |
| label="Language", | |
| value="English ✅" | |
| ) | |
| with col2: | |
| st.metric( | |
| label="Detected Accent", | |
| value=accent | |
| ) | |
| with col3: | |
| st.metric( | |
| label="Accent Confidence", | |
| value=f"{accent_confidence:.1f}%" | |
| ) | |
| # Confidence interpretation | |
| if accent_confidence >= 80: | |
| st.success("🎯 High confidence accent prediction") | |
| elif accent_confidence >= 60: | |
| st.info("🤔 Moderate confidence accent prediction") | |
| else: | |
| st.warning("⚠️ Low confidence accent prediction - results may be unreliable") | |
| # Detailed results | |
| with st.expander("📊 Detailed Analysis Results"): | |
| st.write(f""" | |
| ### Factors affecting accuracy: | |
| - Audio quality and clarity | |
| - Background noise levels | |
| - Speaker's accent strength | |
| - Length of speech sample | |
| - Speaking style and pace | |
| ### Supported English Accents: | |
| American, British (England), Australian, Indian, Canadian, Scottish, Irish, Welsh, | |
| South African, New Zealand, Malaysian, Filipino, Singaporean, Hong Kong, Bermudian, South Atlantic | |
| """) | |
| # For recruiters | |
| st.markdown("### 👔 For Recruiters & HR:") | |
| if lang_confidence >= 80: | |
| st.success("✅ **CANDIDATE SPEAKS ENGLISH** - Suitable for English-speaking roles") | |
| elif lang_confidence >= 60: | |
| st.info("🤔 **LIKELY SPEAKS ENGLISH** - May need additional assessment") | |
| else: | |
| st.warning("⚠️ **UNCERTAIN** - Recommend manual review or additional testing") | |
| except Exception as e: | |
| st.error("❌ **Analysis failed!**") | |
| st.write("**Error details:**") | |
| st.code(str(e)) | |
| st.write("**Possible solutions:**") | |
| st.write("- Try a different video with clearer audio") | |
| st.write("- Ensure the video contains clear speech (any language)") | |
| st.write("- Check that the audio is at least 10-15 seconds long") | |
| st.write("- Verify the video URL is accessible") | |
| except Exception as e: | |
| st.error(f"❌ **Unexpected error occurred:**") | |
| st.code(str(e)) | |
| st.write("Please try again with a different video or contact support if the issue persists.") | |
| finally: | |
| # Clean up temporary files | |
| if video_path or audio_path: | |
| cleanup_files(video_path, audio_path) | |
| # Use cases section | |
| st.markdown("---") | |
| st.markdown("### 🎯 Use Cases") | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.markdown(""" | |
| **🏢 For Recruitment:** | |
| - Screen English-speaking candidates | |
| - Verify language requirements | |
| - Identify accent preferences | |
| - Filter initial applications | |
| """) | |
| with col2: | |
| st.markdown(""" | |
| **📞 For Call Centers:** | |
| - Assess English fluency | |
| - Match accents to regions | |
| - Quality control checks | |
| - Training needs assessment | |
| """) | |
| # Footer | |
| st.markdown("---") | |
| st.markdown( | |
| """ | |
| <div style='text-align: center; color: #666; font-size: 0.8em;'> | |
| 🌍 This tool first detects if the speaker is speaking English, then analyzes their English accent.<br> | |
| Perfect for recruitment screening and language assessment.<br> | |
| Results are AI-generated estimates and may not always be 100% accurate. | |
| </div> | |
| """, | |
| unsafe_allow_html=True | |
| ) |