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Project overview
In this project, you’ll build upon a previously created “Sassy Chatbot” by developing a user-friendly interface using Streamlit. This project focuses on integrating the chatbot code into a web application, enabling users to interact with the chatbot through a simple, intuitive UI. You’ll also add customization options for users to adjust chat settings such as temperature, persona, and message length.
This project will enhance your skills in creating web applications with Streamlit, managing API interactions, and designing user interfaces. By the end of this project, you’ll have a deployable chatbot application that can be shared with the public.
Objective: Develop a Streamlit web application that hosts an AI chatbot, providing an engaging user interface and customization options.
Key skill required
To complete this project, it's recommended to build these foundational skills in Python
- Using Streamlit to create web applications
- Integrating existing Python classes and methods into a web interface
- Handling user inputs and displaying real-time responses
- Customizing web applications with adjustable settings
- Testing and debugging Streamlit applications
Projects steps
Step 1: Introduction
Step 2: Creating the Streamlit App
Step 3: Adding the ConversationManager Class
Step 4: Designing the User Interface
Step 5: Adding Customization Options
Step 6: Handling User Inputs
Step 7: Displaying Chatbot Responses
Step 8: Testing and Debugging
Step 9: Deploying the Application
Step 10: Next Steps
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