fastapi-streamlit
CommunityDeploy scientific models & build interactive apps.
Authortondevrel
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill bridges the gap between developing scientific models and making them accessible through interactive web applications and robust APIs, streamlining deployment and user interaction.
Core Features & Use Cases
- API Serving: Deploy machine learning models or complex computations as high-performance REST APIs using FastAPI.
- Interactive Dashboards: Build dynamic data visualizations and user interfaces with Streamlit for easy exploration and presentation of scientific results.
- Use Case: Serve a trained deep learning model via a FastAPI endpoint, and then build a Streamlit app that allows users to upload data, get predictions from the model, and visualize the results in real-time.
Quick Start
Use the fastapi-streamlit skill to create a basic FastAPI model server and a Streamlit dashboard.
Dependency Matrix
Required Modules
fastapiuvicornstreamlitpydantic
Components
referencesscripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: fastapi-streamlit Download link: https://github.com/tondevrel/scientific-agent-skills/archive/main.zip#fastapi-streamlit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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