Fix import issue

README.md

@@ -1,35 +1,93 @@
----
-title: Video Accent Analyzer
-emoji: 🎧
-colorFrom: green
-colorTo: blue
-sdk: gradio
-sdk_version: 4.0.0
-app_file: app.py
-pinned: false
----
-
-# Video Accent Analyzer
-
-This application analyzes English accents in videos using machine learning. It supports:
-- YouTube videos
+# 🎧 Video Accent Analyzer
+
+A sophisticated Python-based tool that analyzes English accents in videos using advanced machine learning techniques. Supports multiple video sources and provides detailed accent analysis with interactive visualizations.
+
+## 🌟 Features
+
+### Video Support
+- YouTube videos with browser cookie integration
 - Loom recordings
-- Direct video links
-- Uploaded video files
-
-## Features
-- Accent detection with confidence scores
-- English proficiency assessment
-- Interactive visualizations
-- Support for multiple video sources
-
-## Usage
-1. Enter a video URL or upload a video file
-2. Set the maximum duration to analyze
-3. Click "Analyze Video"
-4. View the detailed results and visualization
-
-## Tips
-- Keep videos under 2 minutes for best results
-- Ensure clear audio quality
-- Multiple speakers may affect accuracy
+- Direct MP4 video links
+- Local video file uploads
+
+### Accent Analysis
+- Detects 6 distinct English accents:
+  - 🇬🇧 British English
+  - 🇺🇸 American English
+  - 🇦🇺 Australian English
+  - 🇨🇦 Canadian English
+  - 🇮🇳 Indian English
+  - 🌐 Neutral English
+- Provides confidence scores for accent detection
+- Assesses English proficiency level
+- Analyzes audio quality metrics
+
+### Technical Capabilities
+- Automatic video download and processing
+- Audio extraction and preprocessing
+- Multi-chunk analysis for improved accuracy
+- Real-time progress tracking
+- Interactive Plotly visualizations
+- Batch processing support
+
+## 🚀 Installation
+
+```bash
+pip install -r requirements.txt
+
+```
+# 💻 Usage
+Web Interface
+Start the application:
+python app.py
+Open the provided URL in your browser
+Enter a video URL or upload a video file
+Adjust the maximum duration (10-120 seconds)
+Click "Analyze Video"
+
+# Python API
+```from video_accent_analyzer import VideoAccentAnalyzer
+
+# Initialize analyzer
+analyzer = VideoAccentAnalyzer()
+
+# Analyze video
+results = analyzer.analyze_video_url("your_video_url", max_duration=30)
+
+# Display results
+analyzer.display_results(results) 
+```
+
+# ⚙️ Technical Requirements
+Python 3.7+
+FFmpeg installed on system
+Required Python packages:
+gradio ≥4.0.0
+plotly ≥5.0.0
+torch
+transformers
+librosa
+soundfile
+yt-dlp
+browser-cookie3 ≥0.19.1
+
+## 📊 Results
+🎯 Best Practices
+- Use videos with clear audio and minimal background noise
+For Best Results
+Use videos under 2 minutes in length
+Ensure clear audio quality
+Single speaker per analysis
+Continuous speech segments
+Minimum background noise
+Known Limitations
+Multiple speakers may affect accuracy
+Heavy background noise can impact results
+Very short speech segments (<10s) may be less accurate
+Some region-restricted videos might not be accessible
+
+# 🔧 Development
+The project consists of three main components:  
+video_accent_analyzer.py: Core analysis engine
+app.py: Gradio web interface
+Supporting utilities for video processing

app.py

@@ -103,7 +103,7 @@ with gr.Blocks(css=css) as interface:
         # 🎧 Video Accent Analyzer
         
         Analyze English accents in videos from various sources:
-        - YouTube videos
+        - MP4 videos
         - Loom recordings
         - Direct video links
         - Uploaded video files
@@ -118,7 +118,7 @@ with gr.Blocks(css=css) as interface:
         with gr.Column():
             url_input = gr.Textbox(
                 label="Video URL",
-                placeholder="Enter YouTube, Loom, or direct video URL"
+                placeholder="Enter , Loom, or direct video URL"
             )
             video_input = gr.File(
                 label="Or Upload Video",
@@ -145,8 +145,7 @@ with gr.Blocks(css=css) as interface:
 
     gr.Examples(
         examples=[
-            ["https://www.youtube.com/watch?v=NO5SbsvIjHE", None, 30],
-            ["https://www.youtube.com/watch?v=YQHsXMglC9A", None, 30],
+            ["https://www.loom.com/share/7b82b3e25ec8409a8e4b5568e95dca5c?sid=e0819070-d2ba-4236-a7a0-878c8739040f", None, 30],
         ],
         inputs=[url_input, video_input, duration],
         outputs=[output_text, output_plot],

video_accent_analyzer.py

@@ -649,10 +649,9 @@ def cleanup(self):
 def show_examples():
     """Show usage examples"""
     examples = {
-        "YouTube": "https://youtube.com/watch?v=abc123",
         "Loom": "https://www.loom.com/share/abc123def456",
         "Direct MP4": "https://example.com/video.mp4",
-        "Local File": "/kaggle/input/dataset/video.mp4"
+        "Local File": "/local/input/dataset/video.mp4"
     }
 
     print("\n🎯 Supported Video Formats:")
@@ -669,13 +668,12 @@ def show_examples():
 def quick_test_url():
     """Interactive test for video URLs"""
     print("🔍 Quick Test Mode for Video URLs")
-    print("🎯 Supported: YouTube, Loom, Direct MP4 links")
+    print("🎯 Supported:  Loom, Direct MP4 links")
     print("💡 Examples:")
-    print("   YouTube: https://youtube.com/watch?v=VIDEO_ID")
     print("   Loom: https://www.loom.com/share/VIDEO_ID")
     print("   Direct: https://example.com/video.mp4")
 
-    url = input("\n📎 Enter your video URL (Loom, YouTube, etc.): ").strip()
+    url = input("\n📎 Enter your video URL (Loom, MP4 , etc.): ").strip()
     if not url:
         print("❌ No URL provided.")
         return None