QnA App from Textfile App build using Gradio And Hugging Face 🚀💻
Title: QnA App from Textfile App built using Gradio And Hugging Face 🚀💻
Description:
In this step-by-step tutorial, I'll show you how to build a QnA App from a Textfile app using Gradio for the front end and an open-source/hugging face transformer model deployed on Hugging Face. 🧠
I have covered:
Setting up the Development Environment: Installing Python, Gradio, and the necessary libraries. 🔧
Designing the Gradio UI: Creating an intuitive interface allows users to upload a text file and related questions as text input and display answers as output as response. 🎨
Implementing the Question and Answering Logic: Using a pre-trained, open-source/hugging face transformer model from the Hugging Face Transformers library. 🤖
Deploying the App to Hugging Face Spaces: Hosting the app on Hugging Face's free deployment platform. 🚀
Walkthrough of the Final Application: Demonstrating the app's features and functionality. 🎥
By the end of this video, you'll have a working QnA App from the Textfile 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:
HuggingFace URL: https://huggingface.co/spaces/mayankc... 🤖
GitHub Profile: https://github.com/mayankchugh-learni... 💻
LinkedIn Profile: / mchugh77 🔗
#qnatextfile, #qna, #textfile, #gradio, #huggingFace, #python, #openSource, #appDevelopment, #aiEnthusiast, #itaienthusiast, #generativeai
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