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Build Multi-Model AI Chat App in 10 Minutes with Python & Streamlit

By PulseAugur Editorial · [1 sources] ·

A developer has created a Python script using Streamlit that allows users to build a multi-model AI chat application in under 10 minutes. The application leverages AIBridge, which provides access to over 14 different AI models, including those from DeepSeek, Qwen, and GLM, through a single OpenAI-compatible API. Users can select their preferred model, chat with it, and view response times and token usage, with AIBridge offering 3 million free tokens to new users. AI

IMPACT Enables developers to quickly prototype and deploy applications that leverage multiple LLMs through a unified interface.

RANK_REASON This is a tutorial on how to build a specific application using existing tools and APIs, not a release of a new model or significant industry development.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Build Multi-Model AI Chat App in 10 Minutes with Python & Streamlit

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Daniel Dong ·

    Build a Multi-Model AI Chat App in 10 Minutes (Python + Streamlit)

    <p>Want to build a chat app that lets users switch between DeepSeek, Qwen, and GLM instantly?</p> <p>Here's how to do it in 10 minutes with <strong>AIBridge + Streamlit</strong>.</p> <h2> What We're Building </h2> <p>A simple web chat app where users can:<br /> ✅ Select any of 14…

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