Example repo demonstrating how to test Gradio applications using Playwright UI testing

Gradio demo app for testing trained YOLOv8 models.

Use open source models in your app using Api, and test it in Realtime using gradio.

Generate complete, modular Python systems from plain-English requirements using CrewAI (multi-agent orchestration framework) + a minimal Gradio UI. Dynamic multi-module planning, code, app, and tests.

A multi-agent system with Crew AI simulating an engineering team (Lead, Frontend, Backend, Tester) powered by GPT-4o. It generates code for full-stack apps (Gradio UI, Flask API), runs in Docker, and auto-tests & deploys — Agentic AI building apps end-to-end.

gradio-test-app

A Gradio web app to test your prompts performance. on local large language models.

An experimental application built with Gradio to count words and characters, reverse text, and generate a simple summary. The purpose of the app is to test running Gradio on Hugging Face.

This is a multi conservation AI app that is using the Gemini API with gradio for a example chatbot to test Gemini-Pro model

An interactive web app that tests and improves your logical reasoning skills through AI-powered questions and gamified challenges. Built using Gradio, GPT-2, and Transformers

Art Style Fusion Prompt Engineering is a Gradio app that blends art styles, descriptions, and artist recommendations into prompts for T5 text encoders (Tested Heavily with Flux)

Developed a Deep learning model to categorize text comments into various categories using LSTM-based RNN. The model was then connected with a Gradio app for interactive testing. The dataset is taken from a Kaggle Competition

This is a basic test version of my transcription app, it has a Gradio UI, you can transcribe english files (with speaker diarization) and pre-process them to remove all background noise)

ASL Detection using Convolutional Neural Networks (CNN). This project recognizes American Sign Language (ASL) alphabet signs from images. It includes model training, evaluation (100% test accuracy), and an interactive Gradio app for real-time predictions.

This app is powered by Liquid AI's LFM-2.5-Audio-1.5B and LFM-2.5-VL-1.6B models, supporting multi-TTS functions, all offline via Gradio. Tested smoothly on RTX 5080 and functional on RTX 3060 (with occasional speech-to-speech pauses); requires 16GB to 32GB VRAM for real-time speech-to-speech to work.

Gradio test app

Testing a free web app with gradio

Gradio demo app for testing trained YOLOv8 models.

Just a test on Hosting Gradio App

A Gradio app that tests MNIST models for robustness to attacks

A test of gradio app when sms spam detection is applied.

Sample gradio apps to test out LLM capabilities, prompt engineering, context and semantic search

Gradio web app for testing open-source TTS models and caption-to-speech video pipelines

A realistic interactive web app built using Gradio for applying Boundary Value Analysis, Confidence Testing, and Equivalence Class Partitioning in Software Testing.

A Gradio chat-bot app I wrote to test my parameter-efficient fine-tuned models

Refactor code into a function for linear SVC model creation. Train it, then develop a Gradio app for user testing. App provides feedback on text spam classification.

Your Autonomous Agentic AI dev team. Describe your app in plain English, get back working code with tests and Gradio UI.

Machine learning project to predict customer churn for Spopli telecom data, featuring data analysis, model training, and an interactive Gradio web app for testing retention strategies and focused customer engagement.

A machine learning app that auto-categorizes IT support tickets using TF-IDF and Logistic Regression. Includes real-time word-level explanations via model coefficients, with a Gradio interface for live testing.

Practical Deep Learning course: creating an iOS app to test my model hosted on Hugging Face with Gradio. The goal was to determine if I could use AI to generate the code for this app.