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| title: Medical Speech Recognition | |
| emoji: ⚕️ | |
| colorFrom: blue | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 5.6.0 | |
| app_file: app.py | |
| pinned: true | |
| license: mit | |
| short_description: ASR for medical audio snippets! Speak away your symptoms :) | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # Medical Audio Consultation System | |
| This is a Gradio application that processes audio input through ASR models and provides medical consultation using an LLM. | |
| ## Models Used | |
| - ASR Models: | |
| - wav2vec2-base | |
| - wav2vec2-BERT | |
| - whisper-small | |
| ## Features | |
| - Audio recording and processing | |
| - Multiple ASR model options | |
| - Audio filtering pipeline | |
| ## Usage | |
| 1. Select an ASR model from the dropdown | |
| 2. Record your audio |