From cac36751c14e5aee125c1a5b2614738b27924169 Mon Sep 17 00:00:00 2001
From: Tejas Mahajan <141305477+mahajantejas@users.noreply.github.com>
Date: Fri, 8 Aug 2025 12:58:59 +0530
Subject: [PATCH] Delete docs/4. Integrations/Dialogflow for Natural Language
Processing.md
removed dialogue flow documentation
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-> ### **6 minutes read `Advanced`**
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-**Dialog Flow can be used in flows to send responses to end-users based on their intent when a specific keyword doesn’t match.**
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-## Video Tutorial
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-_The UI of the platform has been updated since the webinar was conducted. The functionalities shown all remain the same_
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-## Using DialogFlow NLP agent within Glific.
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-**Step 1 :** Open a GCP account, project and service account with a key (.json file).
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-**Step 2 :** Connect your Glific instance with this project by adding contents of its key file as GOTH credentials for Glific.
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-**Step 3 :** Open a DialogFlow Account and _create an NLP agent_ that links to the project created in Step 1.
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-**Step 4 :** Create some intents within your agent. You can do so by creating an intent from scratch OR by creating a KnowledgeBase from a set of FAQs
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-**Step 5 :** Create a flow in Glific that accepts a message from the user , maps it to an intent and delivers the response (as computed by the agent ) to the user.
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-Below are details on each of these steps.
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-**Step 1 : GCP Account and project**
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-Refer to the DialogFlow Quick start guide - [https://cloud.google.com/dialogflow/es/docs/quick/setup](https://cloud.google.com/dialogflow/es/docs/quick/setup) - and execute the following steps before you configure Glific
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-- Create a project
-- Enable Billing
-- Enable the API
-- Set up Authentication (till you download the private key file.) You will use the content of this key file to set up your GOTH credentials in Glific.
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-Dialog Flow can be used in flows to send responses to end-users based on their intent when a specific keyword doesn’t match.
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-**Step 3 : Open your DialogFlow account and create an Dialog flow agent connected with the project from step one.**
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-- Go to [https://dialogflow.cloud.google.com/](https://dialogflow.cloud.google.com/)
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-- Log in with your gmail id
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-- Click on " Create Agent"
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-- Choose Import an existing Project (You should be able to see your project from step 1 if you are in the same browser window)
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-**Step 4 : Create some intents within your Dialog flow agent.**
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-1 . Create an intent
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-1 . Go to Google Dialog flow [https://dialogflow.cloud.google.com/](https://dialogflow.cloud.google.com/)
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-2 . Click on `Create intent`button
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-3 . Enter the `name` of the intent.
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-4 . Enter the `phrases` you can expect user will send to BOT. Enter one phrase and hit enter to add it in the phrases list.
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-5 . Click on `Save` button.
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-6 . It will be changed to `Done` after successful save
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-7 . Click on `setting` icon on top of the screen
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-8 . Click on `ML Settings` and then click on `Train` button.
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-9 . Click on `Save` button.
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-10 . After saving, click on `intents` menu.
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-11 . To test type any phrase entered earlier in the `try it now` section and hit enter.
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-12 . It will show the `intent` name matched to your phrase
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-13 . Click on `Diagnostic info` button at the bottom of the section. It will open an `API response`. Search for **Confidence** in the text to find the confidence level of the response match to the phrase. **Confidence** level **1** is the highest level. Any thing above .75 is good matches to the phrase
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-14 . Click on `Close` button. You are ready to use NLP in your flow.
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-NOTE : You can also create an intent by creating a Knowledge Base. This basically is a collection of FAQs that can be split across multiple documents.
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-a. Since this is a beta feature you will need to enable Beta features and API in your agent settings - under the General Tab.
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-b. Once done you will be able to create a Knowledge Base. Follow the instructions to point DialogFlow to your FAQ document(s)
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-c. Each knowledgebase is mapped to an auto-generated intent. You can test the knowledge base just like to test any intent. Ask a question from your FAQ and the agent should respond with corresponding answer.
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-Troubleshooting tip : Added a new intent in Dialog Flow agent does not reflect in Glific split by intent dropdown ? IN settings open Dialogflow settings and just hit save without making a change.
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-## Step 2 : Configure Dialog Flow in Glific to connect to your GCP Project
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-1 . Click on `NGO main account`, find `Settings` and go to `Dialogflow`.
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-3 . Enter `Goth Credentials` of your Dialog flow. It is same as it is for your GCS account. Check the "Is active" box as well.
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-4 . Click on **Save** button
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-## Give Google account Dialog flow access permissions
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-Note : This is only needed if your service account doesn't have complete owner privilege.
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-1 . Go to [https://console.cloud.google.com/](https://console.cloud.google.com/)
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-2 . Click on `IAM` menu from left menu list.
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-3 . Click on `members` button.
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-4 . Scroll down to the account you are using to link with Glific and check if user is having Dialog flow access permission. If not then click on `edit` icon next to the account permission section.
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-5 . Click on `+ADD ANOTHER ROLE` link.
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-6 . From the dropdown search and select `Dialogflow API Admin` and `Dialogflow Console Agent Editor` role.
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-7 . Click on `Save` button at the bottom.
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-## Step 5 : Create a flow in Glific that uses your DialogFlow Agent
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-1 . Create a new Flow, or edit any existing flow.
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-2 . Use **Wait for response** action type to receive the intent phrase input from user.
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-3 . Next linked node will be `Split by intent`
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-4 . Select Dialog flow from the 2nd drop down.
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-5 . Fill the details of your intent.
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-a) select `has top intent`
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-b) select your **intent name** created in dialog flow.
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-c) Enter the confidence level. (Enter the confidence you have got in intent to match it exactly with the phrase. or enter **.5** for now)
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-d) Enter category of the intent Ex. **intent name**
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-e) Enter the variable name to receive the input in `Result Name` section
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-6 . Click `ok` to save.
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-7 . You will get the **nlp response**, **nlp confidence** and **nlp intent** to use in your flow. syntax are
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-Response: **_@results.df_intent.response_**
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-Confidence: **_@results.df_intent.confidence_**
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-Intent: **_@results.df_intent.intent_**
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-**Flow Sample**
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-**Flow Results**
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-**Success case**
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-**No Match found case**
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