friendli-gradio
is a Python package that makes it very easy for developers to create machine learning apps that are powered by Friendli's API.
Installation
You can install friendli-gradio directly using pip:
pip install -U friendli-gradio
That's it!
Basic Usage
Just like if you were to use the friendli API, you should first save your Friendli API key to this environment variable:
export FRIENDLI_TOKEN=<your token>
Then in a Python file, write:
import gradio as gr
import friendli_gradio
gr.load(
name='Qwen/Qwen3-235B-A22B-Instruct-2507',
src=friendli_gradio.registry,
).launch()
Run the Python file, and you should see a Gradio ChatInterface connected to the model on Friendli!
Metadata
Release files for friendli-gradio 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| friendli_gradio-0.0.5.tar.gz | 109.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| friendli_gradio-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 114.1 kB
Release files / friendli_gradio-0.0.5.tar.gz
| Download URL | friendli_gradio-0.0.5.tar.gz |
|---|---|
| Size | 109.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.12
|
Release files / friendli_gradio-0.0.5-py3-none-any.whl
| Download URL | friendli_gradio-0.0.5-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
cb73a83865fce73cdc423fb707d5425e98ed7cc6576c0fc7bc017d13268e776d
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.12
|