{
  "id": 14835020,
  "title": "From JSON to the Cloud: An AI Dashboard with Streamlit and GitHub Actions",
  "url": "https://urgent.news/2026/10/16/de-json-a-la-nube-un-dashboard-de-ia-con-streamlit-y-github-actions",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-16T01:16:27.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/iovargasjeff/de-json-a-la-nube-un-dashboard-de-ia-con-streamlit-y-github-actions-46kj"
  },
  "original_language": "es",
  "account": "A developer has created ModelScope AI, a dashboard that compares the performance of artificial intelligence models in processing documents. The dashboard, built with Python, Streamlit, and Plotly, allows users to evaluate models based on accuracy, cost, and response time for specific tasks, languages, and input formats. The dashboard uses data from ModelVerdict, a public JSON dataset that provides results for tasks such as invoice extraction, email classification, and document summarization. The developer has made the code and deployed application publicly available on GitHub and Streamlit Community Cloud.",
  "summary": "Elegir un modelo de inteligencia artificial para procesar documentos implica responder tres preguntas: ¿qué tan bien resuelve la tarea?, ¿cuánto cuesta? y ¿cuánto tarda? Para explorar esas decisiones desarrollé ModelScope AI , un dashboard con Python, Streamlit y Plotly. La aplicación compara resultados de modelos dentro de una misma tarea, idioma y formato de entrada. Enlaces del proyecto Código…",
  "key_points": [
    "ModelScope AI compares AI models for document processing",
    "Developed with Python, Streamlit, Plotly on Streamlit Community Cloud",
    "GitHub Actions enables automatic updates using ModelVerdict JSON data"
  ],
  "editors_take": "Integrating automated updates with public datasets transforms static model evaluations into a dynamic tool for balancing the critical trade-offs between artificial intelligence performance, operational costs, and processing speeds.",
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "Dev.to",
        "title": "Building and Deploying an Interactive Sales Dashboard with Streamlit, GitHub Actions and Streamlit Community Cloud",
        "url": "https://urgent.news/2026/10/15/building-and-deploying-an-interactive-sales-dashboard-with-streamlit",
        "published": "2026-10-15T21:22:42.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}