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| title: Call Center Analysis | |
| emoji: 🎧 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: docker | |
| app_port: 7860 | |
| This is a GPU-accelerated microservice for analyzing call center audio. It performs: | |
| - Speaker Diarization (Pyannote 3.1) | |
| - Speech-to-Text (Whisper Large-v3) | |
| - Emotion Recognition (Wav2Vec2) | |
| - Biometric Profiling (Age/Gender Voting System) | |
| - Agent KPI Scoring & Customer Journey Mapping | |
| ## Prerequisites | |
| - **Server:** AWS EC2 `g4dn.xlarge` (or any machine with NVIDIA GPU + 16GB VRAM) | |
| - **OS:** Ubuntu 22.04 (Recommended) with NVIDIA Drivers installed | |
| - **Docker:** Docker Engine + NVIDIA Container Toolkit |