gradio-client
Python library for easily interacting with trained machine learning models
Decision gist · record as of 2026-08-14
Yes. Low install friction, active maintenance, no vulnerabilities, and a permissive license make this a safe choice. Install if you need to call any Gradio app as an API—the three-line usage pattern is genuine and the library handles the boilerplate. Only caveat: requires Python 3.10+, and public Spaces may rate-limit heavy usage (though duplication solves that).AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or higher.
- Low friction: pure Python wheel with five lightweight runtime dependencies (fsspec, httpx, huggingface-hub, packaging, typing-extensions).
- Active maintenance—last commit 2026-08-14, released 2026-07-29, no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for proprietary applications.
last release 2026-07-29 (16 days) · last repo commit 2026-08-14 · 43,364 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 11,463,168 downloads/mo, #1,393 on PyPI
Alternatives
Verify before relying
from gradio_client import Client
client = Client("abidlabs/whisper")
result = client.predict("audio_sample.wav")
print(result)- Whether rate limiting on public Spaces is a practical concern for typical workloads.
- Performance characteristics when calling endpoints with large file uploads or long-running predictions.
What it is and what it does
gradio_client is a lightweight Python library that wraps any Gradio app—whether running on Hugging Face Spaces or a custom server—as a callable Python API. It handles connection setup, parameter marshalling, file uploads, and response parsing, letting you invoke trained ML models or interactive tools with a simple `.predict()` call. The library manages authentication (including private Spaces via HF tokens) and provides introspection via `.view_api()` to discover available endpoints and their signatures.
Typical use is calling public Spaces or duplicating them for private, unlimited access. It depends on fsspec for file handling, httpx for HTTP requests, huggingface-hub for Space discovery and authentication, packaging for version handling, and typing-extensions for runtime type hints. Maintenance is active, the API surface is minimal, and there are no known security vulnerabilities.
Use it for
- Call a Hugging Face Space audio transcription model to process audio files in a batch pipeline.
- Integrate a public Gradio chatbot or image generator into a web service without hosting your own inference.
- Duplicate a Space to create a private copy and make unlimited API calls without rate limiting.
- Inspect and call multiple named endpoints in a single Gradio app from Python.
- Build a CLI tool that wraps a remote ML model by connecting to its Gradio interface.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Low install friction, active maintenance, no vulnerabilities, and a permissive license make this a safe choice. Install if you need to call any Gradio app as an API—the three-line usage pattern is genuine and the library handles the boilerplate. Only caveat: requires Python 3.10+, and public Spaces may rate-limit heavy usage (though duplication solves that).
Install
gradio-client on PyPI
Before you install
Low friction: pure Python wheel with five lightweight runtime dependencies (fsspec, httpx, huggingface-hub, packaging, typing-extensions). Active maintenance—last commit 2026-08-14, released 2026-07-29, no known vulnerabilities.
Requires Python 3.10 or higher.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for proprietary applications.
Quickstart
from gradio_client import Client
client = Client("abidlabs/whisper")
result = client.predict("audio_sample.wav")
print(result)Verify before relying
- Whether rate limiting on public Spaces is a practical concern for typical workloads.
- Performance characteristics when calling endpoints with large file uploads or long-running predictions.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesfsspechttpxhuggingface-hubpackagingtyping-extensions |
| Maintenance | Actively maintained 16 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 11,463,168 / month, #1,393 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: User Interfaces |
Evidence: gradio_client-2.6.0-py3-none-any.whl
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See also gradio · hf-gradio · gradio-pdf · spaces · huggingface-hub · gradio-imageslider · groovy · hf · graphqlclient · fal-client