How to create a Sentiment Analysis Tool with Directus, Streamlit, and Hugging Face Models.

[adejumoridwan]

What is your idea?

The goal of this article is to teach the readers how they can use Directus as a BAAS for a frontend application built using Streamlit. The learners will also learn how to use models from Hugging Face to build AI applications. Here is the outline of the article:

1. Introduction

   • Brief overview of sentiment analysis and its importance
   • Explanation of the tools used (Directus, Streamlit, and Hugging Face models)
   • Goals of the tutorial

2. Setting up the Environment

   • Installing the required dependencies
   • Setting up a virtual environment

3. Directus Setup

   • Introduction to Directus
   • Installing and configuring Directus
   • Creating a collection for storing text data

4. Hugging Face Sentiment Analysis Model

   • Introduction to Hugging Face and its transformers Library
   • Exploring available sentiment analysis models
   • Choosing a suitable model for the project
   • Loading and preparing the sentiment analysis model

5. Streamlit Application

   • Setting up a new Streamlit app
   • Building the user interface
     • Text input field
     • Button for triggering sentiment analysis
     • Result display area

6. Integrating Directus, Hugging Face, and Streamlit

   • Fetching text data from User
   • Performing sentiment analysis using the Hugging Face model
   • Displaying results in the Streamlit app
   • Saving new text data and sentiment scores to Directus

7. Deployment

   • Deploying the Streamlit app on Streamlit Cloud
   • Deploying Directus

8. Testing and Validation

   • Testing the sentiment analysis tool with various input texts
   • Validating the results

9. Further Improvements

   • Suggestions for enhancing the tool
     • Incorporating more advanced sentiment analysis models
     • Integrating with other data sources or APIs
   • Ideas for expanding the project

10. Conclusion

    • Summary of the tutorial
    • Final thoughts and recommendations

What are the key takeaways from your post?

The key things learners will learn in this article are:

• How to use Directus as a BAAS, especially for Python Developers since the frontend of choice is Streamlit.
• How to use pre-trained models in Hugging Face to build full stack AI applications.
• How to deploy both Directus and Streamlit on the cloud.

Country of residence

Nigeria

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