Unleash The Power Of Emotions: Sentiment Analysis App With Gradio And Huggingface 🚀💻
Building a Sentiment Analyser App with Gradio and HuggingFace 🤖💻
Description
In this step-by-step tutorial, I'll show you how to build a Sentiment Analyser app using Gradio for the front end and an open-source model deployed on Hugging Face. 🧠
We'll cover:
1. *Setting up the Development Environment:* Installing Python, Gradio, and the necessary libraries. 🔧
2. *Designing the Gradio UI:* Creating an intuitive interface to accept excel file input of review comments and display the Sentiment Analyser output having sentiment & piechart. 🎨
3. *Implementing the Sentiment Analyser Logic:* Using a pre-trained, open-source Sentiment Analyser model from the Hugging Face Transformers library. 🤖
4. *Deploying the App to Hugging Face Spaces:* Hosting the app on Hugging Face's free deployment platform. 🚀
5. *Walkthrough of the Final Application:* Demonstrating the app's features and functionality. 🎥
By the end of this video, you'll have a working Sentiment Analyser app that you can use and share with others. The code will be available on my GitHub, so you can easily customize and expand it for your projects. 🎉
Links
Hugging Face Profile: https://huggingface.co/spaces/mayankc... 🤖
GitHub Profile: https://github.com/mayankchugh-learni... 💻
LinkedIn Profile: / mchugh77 🔗
#sentimentanalysis #gradio #huggingface #python #opensource #appdevelopment #itaienthusiast
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