Metadata-Version: 2.1
Name: pvleoparddemo
Version: 1.1.2
Summary: Leopard speech-to-text engine demos
Home-page: https://github.com/Picovoice/leopard
Author: Picovoice
Author-email: hello@picovoice.ai
License: UNKNOWN
Description: # Leopard Speech-to-Text Demos
        
        Made in Vancouver, Canada by [Picovoice](https://picovoice.ai)
        
        ## Leopard
        
        Leopard is an on-device speech-to-text engine. Leopard is:
        
        - Private; All voice processing runs locally. 
        - [Accurate](https://picovoice.ai/docs/benchmark/stt/)
        - [Compact and Computationally-Efficient](https://github.com/Picovoice/speech-to-text-benchmark#rtf)
        - Cross-Platform:
          - Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64)
          - Android and iOS
          - Chrome, Safari, Firefox, and Edge
          - Raspberry Pi (4, 3) and NVIDIA Jetson Nano
        
        ## Compatibility
        
        - Python 3.5+
        - Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64), Raspberry Pi (4, 3), and NVIDIA Jetson Nano.
        
        ## Installation
        
        ```console
        pip3 install pvleoparddemo
        ```
        
        ## AccessKey
        
        Leopard requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Leopard SDKs.
        You can get your `AccessKey` for free. Make sure to keep your `AccessKey` secret.
        Signup or Login to [Picovoice Console](https://console.picovoice.ai/) to get your `AccessKey`.
        
        ## Usage
        
        ### File Demo
        
        Run the following in the terminal:
        
        ```console
        leopard_demo_file --access_key ${ACCESS_KEY} --audio_paths ${AUDIO_PATH}
        ```
        
        Replace `${ACCESS_KEY}` with yours obtained from Picovoice Console and `${AUDIO_PATH}` with a path to an audio file you
        wish to transcribe.
        
        ### Microphone Demo
        
        You need a working microphone connected to your machine for this demo. Run the following in the terminal:
        
        ```console
        leopard_demo_mic --access_key ${ACCESS_KEY}
        ```
        
        Replace `${ACCESS_KEY}` with yours obtained from Picovoice Console. Once running, the demo prints:
        
        ```console
        >>> Press `ENTER` to start: 
        ```
        
        Press `ENTER` key and wait for the following message in the terminal:
        
        ```console
        >>> Recording ... Press `ENTER` to stop:
        ```
        
        Now start recording and when done press `ENTER` key to get the transcription.
Keywords: Speech-to-Text,ASR,Speech Recognition,Voice Recognition,Automatic Speech Recognition
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Requires-Python: >=3.5
Description-Content-Type: text/markdown
