https://github.com/koverholt/gradio-dialogflow-cx

A Python notebook that integrates Gradio (app frontend) with Dialogflow CX (conversational backend)
https://github.com/koverholt/gradio-dialogflow-cx

Last synced: 24 days ago
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A Python notebook that integrates Gradio (app frontend) with Dialogflow CX (conversational backend)

• Host: GitHub
• URL: https://github.com/koverholt/gradio-dialogflow-cx
• Owner: koverholt
• License: apache-2.0
• Created: 2023-04-19T22:30:43.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-04-19T23:46:04.000Z (almost 2 years ago)
• Last Synced: 2024-12-24T04:44:24.825Z (about 1 month ago)
• Language: Jupyter Notebook
• Size: 289 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Gradio app + Dialogflow CX agent

A

[Python notebook](https://github.com/koverholt/gradio-dialogflow-cx/blob/main/notebook/gradio-dialogflow.ipynb)

that integrates a [Gradio chatbot app](https://gradio.app/docs/#chatbot)

(frontend) with a

[Dialogflow CX virtual agent](https://cloud.google.com/dialogflow/cx/docs)

(conversational chatbot backend).



## Prerequisites

- You have a

  [Google Cloud account](https://console.cloud.google.com/getting-started) and a

  [project](https://cloud.google.com/resource-manager/docs/creating-managing-projects)

- You have enabled the

  [Dialogflow CX API in Google Cloud](https://cloud.google.com/dialogflow/cx/docs/quick/setup#api)

  for your project

- You've created a

  [virtual agent](https://cloud.google.com/dialogflow/cx/docs/quick/build-agent)

  in Dialogflow CX (I suggest trying one of the

  [pre-built agents](https://cloud.google.com/dialogflow/cx/docs/concept/agents-prebuilt)!)

## Usage

1. Clone this repo and `cd` into this directory

2. Install dependencies with

   ```

   pip install -r requirements.txt

   ```

3. Open the

   [notebook in this repo](https://github.com/koverholt/gradio-dialogflow-cx/blob/main/notebook/gradio-dialogflow.ipynb)

4. Define the values in the notebook for your Google Cloud project ID,

   Dialogflow CX agent region, Dialogflow CX agent ID, and language. For

   example:

   ```

   PROJECT_ID = "my-awesome-google-cloud-project"

   LOCATION_ID = "global"

   AGENT_ID = "1111aa11-aaaa-1111-a111-1a1aa1a111aa"

   LANGUAGE_CODE = "en-us"

   ```

5. Run all of the cells in the notebook

6. View the app in your browser on your local machine and chat with it!

7. (Optional) Make your Gradio app link publicly accessible by running a new

   cell with `demo.launch(share=True)`