Steps to Add Dialogflow Chatbot to Flask
Posted: Thu Mar 27, 2025 7:16 am
Step 1: Create an agent
Login to the Dialogflow console. An agent is just a chatbot. You can train the agent with training phrases and corresponding responses to handle expected conversation scenarios with your end users.
Click the dropdown near the Agent settings, click Create new agent, provide an agent name (We’re using Python-Demo), and then click CREATE.
dialogflow chatbot python - creating an agent
Step 2: Create an intent
An intent categorizes the end-user’s intention for one conversation engineer data turn. For each agent, you can define many intents. When an end-user writes or says something, referred to as an end-user expression, Dialogflow matches the end-user expression to the best intent in your agent.
Click the CREATE INTENT button, provide an intent name (for example, python-demo), and save.
dialogflow chatbot python - create an intent
Step 3: Add training phrases
These are example phrases for what end-users might say. When an end-user expression resembles one of these phrases, Dialogflow matches the intent.
Click the intent created (python-demo) and add the user phrases in the Training phrases section.
dialogflow chatbot python - add training phrases
Here’s a video for you on creating a Dialogflow chatbot and learning more about agents, intents, and entities:
Login to the Dialogflow console. An agent is just a chatbot. You can train the agent with training phrases and corresponding responses to handle expected conversation scenarios with your end users.
Click the dropdown near the Agent settings, click Create new agent, provide an agent name (We’re using Python-Demo), and then click CREATE.
dialogflow chatbot python - creating an agent
Step 2: Create an intent
An intent categorizes the end-user’s intention for one conversation engineer data turn. For each agent, you can define many intents. When an end-user writes or says something, referred to as an end-user expression, Dialogflow matches the end-user expression to the best intent in your agent.
Click the CREATE INTENT button, provide an intent name (for example, python-demo), and save.
dialogflow chatbot python - create an intent
Step 3: Add training phrases
These are example phrases for what end-users might say. When an end-user expression resembles one of these phrases, Dialogflow matches the intent.
Click the intent created (python-demo) and add the user phrases in the Training phrases section.
dialogflow chatbot python - add training phrases
Here’s a video for you on creating a Dialogflow chatbot and learning more about agents, intents, and entities: