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Les utilisateurs peuvent enregistrer une requête vocale ou fournir un fichier audio existant pour obtenir la transcription et la traduction.\n\n## Instructions pour les utilisateurs\n\n### Prérequis\n\n- Machine virtuelle recommandée\n- Installation des bibliothèques nécessaires :\n  - NumPy\n  - SciPy\n  - PyTorch\n  - Tkinter\n### Démarrage de l'environnement virtuelle depuis Visual Studio Code\n\n **Configuration de l'environnement virtuel (venv) :**\n   - Ouvrez un terminal dans VS Code.\n   - Créez un environnement virtuel (venv) en exécutant la commande suivante :\n     ```bash\n     python -m venv venv\n     ```\n   - Activez l'environnement virtuel :\n     - Sur Windows :\n       ```bash\n       .\\venv\\Scripts\\activate\n       ```\n     - Sur macOS/Linux :\n       ```bash\n       source venv/bin/activate\n       ```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdohabanoui%2Fspeech-to-text-using-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdohabanoui%2Fspeech-to-text-using-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdohabanoui%2Fspeech-to-text-using-python/lists"}