Metadata-Version: 2.1
Name: rasa-audiocodes
Version: 0.1.4
Summary: Integrate Rasa with AudioCodes Voice.AI Gateway
Home-page: https://github.com/ac-voice-ai/rasa-audiocodes
Author: AudioCodes Ltd.
Author-email: yaakov.bivas@audiocodes.com
License: UNKNOWN
Project-URL: Source, https://github.com/ac-voice-ai/rasa-audiocodes
Project-URL: Bug Reports, https://github.com/ac-voice-ai/rasa-audiocodes/issues
Description: # AudioCodes Voice&#46;AI Gateway Channel for Rasa
        
        AudioCodes Voice&#46;AI Gateway is an application that enables telephony access
        for chatbots.
        
        The Rasa integration is using a REST protocol named
        [AC-Bot-API](https://www.audiocodes.com/media/14764/voiceai-gateway-bot-api-reference.pdf).
        
        ## Setting Credentials
        
        In order to integrate with AudioCodes Voice&#46;AI Gateway, configure
        a provider on VAIG side with the following attributes:
        
        ```json
          {
            "name": "rasa",
            "type": "ac-bot-api",
            "botURL": "https://<RASA>/webhooks/audiocodes/webhook",
            "credentials": {
              "token": "CHOOSE_YOUR_TOKEN"
            }
          }
        ```
        
        ## Running on AudioCodes Voice.​AI Gateway
        
        If you want to connect to the AudioCodes input channel using the run
        script, e.g. using:
        
        ```bash
        rasa run
        ```
        you need to supply a `credentials.yml` with the following content:
        
        ```yaml
        rasa_audiocodes.AudiocodesInput:
          token: "CHOOSE_YOUR_TOKEN"
        ```
        
        ## Installation
        
        The easiest way to install the package is through [PyPI](https://pypi.org/project/rasa-audiocodes).
        
        ```sh
        pip install rasa-audiocodes
        ```
        
        ## Docker
        
        If you're using Rasa on Docker, you can copy rasa_audiocodes and docker-compose.yml
        to your application directory, and edit the volumes section to match your app directory.
        
        If you already have a docker-compose file, just add this to the rasa volumes:
        
        ```yaml
              - ./rasa_audiocodes:/opt/venv/lib/python3.7/site-packages/rasa_audiocodes
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: Apache Software License
Description-Content-Type: text/markdown
