Build an AI Chatbot using Dify AI and Streamlit

Introduction

In today's tutorial, we're going to create a simple chatbot application using minimal code with Dify AI and Streamlit. Dify AI is an innovative orchestration platform designed for Low-Code and No-Code application development, making it easier to build applications without writing a single line of code. It allows you to create complex AI workflows, develop AI agents, and manage knowledge bases in a user-friendly manner.

Setting Up Dify AI

If you haven't set up Dify AI yet, simply search for Dify AI on Google and sign in using either your Google or GitHub account. If you're interested in running Dify AI locally, earlier videos can guide you through setting it up using Docker, a popular container technology.

Creating a Chatbot in Dify

After signing in to the Dify dashboard, you can start building your chatbot. Here’s how to do it step by step:

1. Create an App: Click on the option to “Create from blank” to start fresh. Proceed by selecting the chatbot type and then chat flow for advanced users.

2. Configure the Bot: Provide a name and description for your chatbot, such as "Demo App for YT", and click create. You’ll find a default workflow on your canvas that defines how interactions will occur.

3. Select the LLM Model: Choose the appropriate model for your chatbot, such as GPT-3.5 Turbo. You can adjust various configurations, including temperature, max tokens, and stop sequences.

4. Define Message Handling: Set up how your bot will manage incoming messages and responses. Use the preview feature to test basic interaction.

5. Publish the App: Once you're satisfied with the functionality, publish it, which gives you an API access URL and a secret key to use in the Streamlit app.

Building with Streamlit

Next, we'll proceed to create the frontend using Streamlit.

1. Create a Virtual Environment: Open your terminal and create a Python virtual environment with the command python -m venv venv.

2. Install Dependencies: Activate the virtual environment and install Streamlit. You may also want to use the requests library to make API calls.

   pip install streamlit requests
   

3. Set Up the Streamlit App: Create a file named app.py and import necessary libraries (requests and streamlit).

4. Define the API Key and URL: Use your previously acquired API access URL and key within your code. Structure the request for sending messages to the Dify AI API.

5. Create the Chat Interface: Establish UI components like input fields and chat displays. Assign roles to messages (user vs AI) and loop through messages to display them.

6. Run the Application: Finally, you can run your Streamlit app using the command streamlit run app.py, which will open a new tab in your web browser displaying the chatbot.

Demonstrating the Chatbot

Once the chatbot is running, you can interact with it directly in your browser. For example, you can ask, "What is AI?" and get an appropriate response. The bot can also generate specific code snippets based on user prompts.

By utilizing Dify AI and Streamlit, even those with minimal coding expertise can build AI applications, allowing broader access and innovation in chatbot technology.

Conclusion

This article detailed the steps to create a simple, effective chatbot leveraging Dify AI and Streamlit. With this setup, you can explore AI applications that can meet specific needs for user interaction and information retrieval.

Keywords

• Dify AI
• Streamlit
• Low-Code
• Chatbot
• API Integration
• Virtual Environment
• Actionable Insights

FAQ

Q: What is Dify AI?
A: Dify AI is an orchestration platform that enables users to develop applications with minimal or no coding, focusing on creating complex workflows and AI systems.

Q: Do I need coding experience to use Dify AI?
A: No, Dify AI is designed for users with little to no coding experience, making it accessible for a wide audience.

Q: How do I deploy my chatbot application created with Dify AI?
A: You can deploy your chatbot on Streamlit Cloud or any other platform of your choice after creating the app and generating the API keys.

Q: Can I customize the responses of the Dify AI chatbot?
A: Yes, you can configure different AI models, system prompts, and conversation contexts to tailor the chatbot’s responses to your needs.

Q: What are the steps to install Streamlit?
A: You can install Streamlit using pip. After activating a virtual environment, simply run pip install streamlit.