mlsanityData to 7 Oct 2026

Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild

arXiv 1906.02569 ↗First posted 6 Jun 2019cs.LG cs.HC stat.MLcited by 176

Not on the map. Why?

Abstract (arXiv)

Accessibility is a major challenge of machine learning (ML). Typical ML models are built by specialists and require specialized hardware/software as well as ML experience to validate. This makes it challenging for non-technical collaborators and endpoint users (e.g. physicians) to easily provide feedback on model development and to gain trust in ML. The accessibility challenge also makes collaboration more difficult and limits the ML researcher's exposure to realistic data and scenarios that occur in the wild. To improve accessibility and facilitate collaboration, we developed an open-source Python package, Gradio, which allows researchers to rapidly generate a visual interface for their ML models. Gradio makes accessing any ML model as easy as sharing a URL. Our development of Gradio is informed by interviews with a number of machine learning researchers who participate in interdisciplinary collaborations. Their feedback identified that Gradio should support a variety of interfaces and frameworks, allow for easy sharing of the interface, allow for input manipulation and interactive inference by the domain expert, as well as allow embedding the interface in iPython notebooks. We developed these features and carried out a case study to understand Gradio's usefulness and usability in the setting of a machine learning collaboration between a researcher and a cardiologist.

Key facts. Cited by 176 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Jun 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 7; 2023: 34; 2024: 52; 2025: 60; 2026: 21.

176 papers.

Sort:

By area:

  1. 2024LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Modelscited by 1,442
  2. 2021Persistent Anti-Muslim Bias in Large Language Modelscited by 376
  3. 2024Humans or LLMs as the Judge? A Study on Judgement Biasescited by 314
  4. 2024HQ-Edit: A High-Quality Dataset for Instruction-based Image Editingcited by 191
  5. 2024AgentScope: A Flexible yet Robust Multi-Agent Platformcited by 120
  6. 2023Agents: An Open-source Framework for Autonomous Language Agentscited by 116
  7. 2023Unifying Molecular and Textual Representations via Multi-task Language Modellingcited by 92
  8. 2025MedSAM2: Segment Anything in 3D Medical Images and Videoscited by 88
  9. 2024Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuningcited by 85
  10. 2023Inseq: An Interpretability Toolkit for Sequence Generation Modelscited by 78
  11. 2024Automated Evaluation of Large Vision-Language Models on Self-driving Corner Casescited by 75
  12. 2023LooseControl: Lifting ControlNet for Generalized Depth Conditioningcited by 68
38 more
  1. 2023The Gradient of Generative AI Release: Methods and Considerationscited by 63
  2. 2024OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviewscited by 63
  3. 2024LitLLM: A Toolkit for Scientific Literature Reviewcited by 61
  4. 2023Automating Customer Service using LangChain: Building custom open-source GPT Chatbot for organizationscited by 59
  5. 2021Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanationscited by 53
  6. 2022Rethinking Explainability as a Dialogue: A Practitioner's Perspectivecited by 52
  7. 2022Regression Transformer: Concurrent sequence regression and generation for molecular language modelingcited by 49
  8. 2023ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Imagecited by 47
  9. 2023CLASS: A Design Framework for building Intelligent Tutoring Systems based on Learning Science principlescited by 46
  10. 2024Segment Anything in Medical Images and Videos: Benchmark and Deploymentcited by 42
  11. 2023Prompt2Model: Generating Deployable Models from Natural Language Instructionscited by 40
  12. 2023MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalitiescited by 38
  13. 2024GeoDiffuser: Geometry-Based Image Editing with Diffusion Modelscited by 34
  14. 2024Ragnar"ok: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Trackcited by 31
  15. 2024Probing the limitations of multimodal language models for chemistry and materials researchcited by 31
  16. 2023The ROOTS Search Tool: Data Transparency for LLMscited by 30
  17. 2024MagicQuill: An Intelligent Interactive Image Editing Systemcited by 30
  18. 2025RORem: Training a Robust Object Remover with Human-in-the-Loopcited by 23
  19. 2024VisionArena: 230K Real World User-VLM Conversations with Preference Labelscited by 22
  20. 2022ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priorscited by 21
  21. 2025Viser: Imperative, Web-based 3D Visualization in Pythoncited by 19
  22. 2023Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Makingcited by 18
  23. 2023VaQuitA: Enhancing Alignment in LLM-Assisted Video Understandingcited by 17
  24. 2024Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editingcited by 17
  25. 2022Accelerating Material Design with the Generative Toolkit for Scientific Discoverycited by 15
  26. 2024GenesisTex: Adapting Image Denoising Diffusion to Texture Spacecited by 15
  27. 2023ORES: Open-vocabulary Responsible Visual Synthesiscited by 14
  28. 2024adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgroundscited by 14
  29. 2024OntoChat: a Framework for Conversational Ontology Engineering using Language Modelscited by 14
  30. 2025Scaling Low-Resource MT via Synthetic Data Generation with LLMscited by 14
  31. 2024Creative Beam Search: LLM-as-a-Judge For Improving Response Generationcited by 13
  32. 2025Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basquecited by 12
  33. 2023MAM-E: Mammographic synthetic image generation with diffusion modelscited by 11
  34. 2024Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplerscited by 11
  35. 2025VTimeCoT: Thinking by Drawing for Video Temporal Grounding and Reasoningcited by 11
  36. 2026Pearmut: Human Evaluation of Translation Made Trivialcited by 11
  37. 2023fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Taskscited by 10
  38. 2023AeroPath: An airway segmentation benchmark dataset with challenging pathologycited by 10

50 most cited of 176 All 176 (JSON)