Building a Chatbot with Strapi, Next.js, and Gemini: A Comprehensive Guide (3-Part Series)

[Tiioluwani]

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Part 1: Introduction and Backend Setup with Strapi

Overview

• Introduction to chatbots and their applications.
• Explanation of the technologies used: Streamlit, Strapi, and Gemini.

Setting Up the Environment

• Installing necessary tools and libraries.
• Setting up a virtual environment.

Introduction to Strapi

• What is Strapi and why use it for backend development?
• Key features of Strapi.

Installation and Initial Setup

• Step-by-step guide to installing Strapi.
• Creating a new Strapi project.

Creating Content Types

• Defining data structures for users, conversations, and messages.
• Using the Strapi admin panel to create content types.

Setting Up Authentication

• Implementing user registration and login.
• Managing authentication tokens.

Part 2: Building the Frontend with Streamlit

Introduction to Streamlit

• What is Streamlit and why use it for building the frontend?
• Key features of Streamlit.

Creating the Streamlit Application

• Setting up a new Streamlit project.
• Building the basic layout for the chatbot interface.

User Authentication in Streamlit

• Adding login and registration forms.
• Managing user sessions with Streamlit.

Connecting to the Backend

• Making API requests to Strapi from Streamlit.
• Displaying data retrieved from Strapi in the Streamlit app.

Admin and User Profiles

• Implementing admin panel functionalities.
• Allowing users to edit profiles.
• Viewing all users and conversations (admin-only).

Part 3: Integrating Gemini and Enhancing the Chatbot

Introduction to the Gemini API

• Overview of the Gemini API and its capabilities.
• Setting up access to the Gemini API.

Generating Responses with Gemini

• Configuring the Gemini API in the Streamlit app.
• Sending user messages to the Gemini API.
• Handling and displaying responses from Gemini.

Adding Language Translation

• Integrating the Google Translate API.
• Translating messages and responses.
• Allowing users to select their preferred language.

Strapi i18n Plugin Integration

• Overview of the Strapi i18n plugin and its capabilities.
• Setting up the Strapi i18n plugin.
• Using the Strapi i18n plugin to manage multilingual content.
• Configuring the chatbot to fetch and display localized content.

Managing Conversations

• Saving user and bot messages.
• Retrieving and displaying conversation history.

Ending Conversations

• Updating conversation status to closed.

Logging Out and Session Management

• Implementing logout functionality.
• Managing session state in Streamlit.

Conclusion

• Summary of the Series
• Recap of what was covered in each part.
• Final thoughts on building a chatbot with Streamlit, Strapi, and Gemini.

What are the objectives of your article?

• Explain how Strapi serves as the backend CMS for the chatbot project.
• Provide detailed steps for setting up and accessing the Gemini API and integrating with Strapi
• Demonstrate using Strapi to manage user data, conversations, and authentication.
• Show how the Strapi i18n plugin enhances the chatbot's multilingual capabilities by providing a flexible and powerful content management system for handling translations.
• Integrate the Google Translate API to translate messages and responses, ensuring the chatbot can communicate in multiple languages

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