UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.

AI Agent Nexus is an open-source platform for developing, testing, and hosting AI Agents, built with Streamlit and Gradio. It offers a user-friendly chat interface and focuses on teaching core concepts of building full-featured AI agents. The platform supports multipl AI Agent and assistant patters, and complements the book "AI Agents In Action."

An intelligent code optimization system leveraging AI analysis, automated refactoring, and test generation. Built with DSPy and Gradio, it transforms raw code into optimized, test-covered implementations using Chain-of-Thought (CoT) and ReAct reasoning.

Models: Deepseek R1 models, Llama3.2, Qwen2.5. Integrations: Ollama, Gradio. Supports Local LLM. Test and deploy the latest LLM models in the fastest and most efficient way

🧩 This repository provides a comprehensive tutorial on building interactive machine learning interfaces using Gradio in Python. It covers basic to advanced examples, helping developers quickly prototype and deploy AI models with user-friendly UIs for testing and sharing.

A tiny example to test OpenAI Whisper with Gradio

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

Gradio-based services built on the iFLYTEK fine-tuning platform toolbox, support for calling fine-tuning model for bot chat, batch data testing, and data conversion features such as: jsonl2csv,csv2jsonl

This project features AI models for identifying mushrooms and plants as poisonous or edible using image-based predictions. Both models are tested through an interactive Gradio interface, ensuring user-friendly and accurate identification for foragers and researchers.

Gradio demo app for testing trained YOLOv8 models.

a gradio workspace used to test and develop ai personas

This is a code template for building Mean Opinion Score (MOS) test using Gradio

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

federated learning on a baby cry dataset, along with a gradio frontend for accessibility to test the model

This repository contains my complete solutions for the AI Engineer Technical Test, covering both engineering knowledge and coding challenges. It includes Jupyter notebooks, markdown explanations, and a Gradio-based Receipt AI Platform (also deployed on Hugging Face Spaces) with supporting demo videos.

test - gradio#2880

Small ML-Project (IRIS Classification) to test deployment of a model using Gradio and Heroku

Testing Gradio to build UIs for command-line applications

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.

Deep learning–based multimodal biometric system using YOLOv8 for iris and fingerprint recognition. Detects, classifies, and matches biometric traits with confidence scores. Features a Gradio interface for easy testing. Dataset from Roboflow Universe.

An AI-powered tire quality classification system using ResNet50 (Transfer Learning) deep learning. Achieves 95.16% accuracy in automated tire inspection. Features intuitive Gradio web interface, PyTorch implementation, mixed precision training, and comprehensive testing suite

Easy-to-use toolkit for training LoRA models with SimpleTuner, featuring a Gradio web interface for immediate inference and testing. Supports SDXL, SD3, and other major diffusion models, with low VRAM and multi-GPU optimization.

AI model that predicts pollutant gas levels (CO, NO₂, SO₂, O₃, PM₂.5, etc.) and determines Air Quality Level when given the AQI as input. It also includes a Gradio web interface for easy testing.

Multi-modal depression detection using audio and video. Extracts MFCC + delta features for speech and facial features via DenseNet201. Audio is processed with BiLSTM, and both streams are ensembled for final prediction. Includes preprocessing, scaling, augmentation, and a Gradio GUI for testing.

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.

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.

gradio-test-app

This repo contains a Gradio project in which you can fill the data and predict the satisfaction of airline clients.

Testing pagination in Gradio

gradio gui to compare sox commands for audio editing