Spaces:
Sleeping
Sleeping
| title: Echo | |
| emoji: 🐢 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.49.1 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: an emotional recognition model | |
| # Audio Emotion Analyzer with Gemma | |
| This application uses Google's Gemma model to analyze emotions from audio files through acoustic feature analysis. | |
| ## Features | |
| - 🎵 Upload audio files or record directly | |
| - 🎭 Emotion detection using acoustic features | |
| - 🤖 Powered by Google's Gemma model | |
| - 📊 Detailed analysis with confidence scores | |
| - 🎨 Beautiful visual interface | |
| ## How it works | |
| 1. Extracts acoustic features from audio (MFCC, spectral centroid, pitch, energy, etc.) | |
| 2. Converts features to descriptive text | |
| 3. Uses Gemma to analyze emotional content based on acoustic characteristics | |
| 4. Provides structured emotion analysis with reasoning | |
| ## Supported emotions | |
| - Happy, Sad, Angry, Fearful, Disgusted | |
| - Surprised, Neutral, Excited, Calm, Anxious | |
| ## Usage | |
| 1. Upload an audio file or record your voice | |
| 2. Wait for the AI analysis | |
| 3. View the emotional analysis with confidence scores and reasoning | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |