Based on our record, FastAPI should be more popular than Gradio. It has been mentiond 288 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Since we wanted Shayla to feel approachable, we went with a simple chatbot interface. Pairing a generative AI agent like Gemini with Gradio turned out to be a great fit not just for its flexibility, but because the default chatbot design had a warm, inviting feel. The soft color palette and clean layout made it easier to create a space that felt safe, not clinical. From there, we thought things were going to be a... - Source: dev.to / about 1 month ago
This project contains the code for training and deploying a UNET model for water body segmentation from satellite images. The model is trained on the Satellite Images of Water Bodies from Kaggle. The model is trained using PyTorch and deployed using Gradio on Hugging Face Spaces. - Source: dev.to / 4 months ago
In this tutorial, we will build a very simple python application with Gradio, a popular framework to build elegant and beautiful frontend for AI/ML python apps. - Source: dev.to / 7 months ago
The issue is running the model. Exl2 is part of the ExllamaV2 library, but to run a model, a user needs an API server. The only option out there was using text-generation-webui (TGW), a program that bundled every loader out there into a Gradio webui. Gradio is a common “building-block” UI framework for python development and is often used for AI applications. This setup was good for a while, until it wasn’t. - Source: dev.to / 10 months ago
Exciting! I'm surprised to see nobody has mentioned gradio yet. It seems to sit in the same niche as streamlit and mesop. https://gradio.app/. - Source: Hacker News / 12 months ago
The backend of this accountability AI application is built using FastAPI, a high-performance framework for Python. The app allows users to communicate with the AI, which helps them stay accountable by generating responses based on their input. Below is a breakdown of the key components used in the code:. - Source: dev.to / 10 days ago
Until I realized Anki has their own API Interface, which made me realize that I can automate this task, efficiently, while also getting hand on experience using FastAPI and LLMs (but am I going to change the stack later?.. Lets see). - Source: dev.to / 7 days ago
By the end of this tutorial, you’ll see how I used FastAPI and Jinja2 to turn raw JSON into a dynamic timeline of weather and history that feels informative and fun. - Source: dev.to / 22 days ago
The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / 23 days ago
FastAPI and Uvicorn are two essential building blocks when developing high-performance Python APIs. - Source: dev.to / 24 days ago
Streamlit - Turn python scripts into beautiful ML tools
Django - The Web framework for perfectionists with deadlines
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
Anvil.works - Build seriously powerful web apps with all the flexibility of Python. No web development experience required.
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple