Update app.py

app.py

@@ -1,271 +1,260 @@
-# 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"""
-                            ### Language Detection Results:
-                            **Language:** English  
-                            **Language Confidence:** {lang_confidence:.1f}%
-                            
-                            ### English Accent Analysis:
-                            **Detected Accent:** {accent}  
-                            **Accent Confidence:** {accent_confidence:.1f}%
-                            
-                            ### Interpretation:
-                            The AI first confirmed that the speaker is speaking English with {lang_confidence:.1f}% confidence.
-                            Then it analyzed the English accent and detected **{accent}** accent patterns 
-                            with {accent_confidence:.1f}% confidence.
-                            
-                            ### 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
+# 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
 )