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        "author": "Frederik Ring",
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        "description": "# rasa-dialogflow-interpreter\n[![Build Status](https://travis-ci.org/m90/rasa-dialogflow-interpreter.svg?branch=master)](https://travis-ci.org/m90/rasa-dialogflow-interpreter)\n> rasa_core interpreter connecting to dialogflow.com API v2\n\nA `rasa_core` [Interpreter](http://rasa.com/docs/core/api/interpreter/) that sources intent data from dialogflow.com API v2. This means you can run `rasa_core` and do Natural Language Understanding using Dialogflow.\n\n## Installation\n\nInstall using pip:\n\n```\npip install rasa-dialogflow-interpreter\n```\n\n## Usage\n\n```py\nfrom rasa_dialogflow_interpreter.interpreter import DialogflowInterpreter\nfrom rasa_core.agent import Agent\n\nagent = Agent.load(\n    'path/to/dialogue/models',\n    interpreter=DialogflowInterpreter(\n        'dialogflow-project-name',\n        # if you omit the `service_account_json` parameter the value\n        # exported to GOOGLE_APPLICATION_CREDENTIALS will be used instead\n        service_account_json='dialogflow-project-name.json',\n    ))\n\nmsg = agent.handle_text('What does it all mean, Dialogflow?')\n```\n\nNote that due to the way that Dialogflow currently works, the returned `entities` will not have `start` and `end` values.\n\n### License\nMIT \u00a9 [Frederik Ring](http://www.frederikring.com)\n\n\n\n",
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