This release is a pre-release and may not be stable for production use.
Replicate Python client
This is a Python client for Replicate. It lets you run models from your Python code or Jupyter notebook, and do various other things on Replicate.
You can run a model and get its output:
>>> import replicate
>>> model = replicate.models.get("replicate/hello-world")
>>> model.predict(text="python")
"hello python"
>>> model = replicate.models.get("replicate/resnet")
>>> model.predict(image=open("mystery.jpg", "rb"))
[['n02123597', 'Siamese_cat', 0.8829364776611328],
['n02123394', 'Persian_cat', 0.09810526669025421],
['n02123045', 'tabby', 0.005758069921284914]]
You can run a model and feed the output into another model:
>>> image = replicate.models.get("afiaka87/laionide-v4").predict(prompt="avocado armchair")
>>> upscaled_image = replicate.models.get("jingyunliang/swinir").predict(image=image)
Run a model and get its output while it's running:
model = replicate.models.get("pixray/text2image")
for image in model.predict(prompt="san francisco sunset"):
display(image)
You can start a model and run it in the background:
>>> model = replicate.models.get("kvfrans/clipdraw")
>>> prediction = replicate.predictions.create(
... version=model.versions.list()[0],
... input={"prompt":"Watercolor painting of an underwater submarine"})
>>> prediction
Prediction(...)
>>> prediction.status
'starting'
>>> dict(prediction)
{"id": "...", "status": "starting", ...}
>>> prediction.reload()
>>> prediction.status
'processing'
>>> print(prediction.logs)
iteration: 0, render:loss: -0.6171875
iteration: 10, render:loss: -0.92236328125
iteration: 20, render:loss: -1.197265625
iteration: 30, render:loss: -1.3994140625
>>> prediction.wait()
>>> prediction.status
'succeeded'
>>> prediction.output
'https://.../output.png'
You can list all the predictions you've run:
>>> replicate.predictions.list()
[<Prediction: 8b0ba5ab4d85>, <Prediction: 494900564e8c>]
Install
pip install replicate
Authentication
Set the REPLICATE_API_TOKEN environment variable to your API token. For example, run this before running any Python scripts that use the API:
export REPLICATE_API_TOKEN=<your token>
We recommend not adding it directly to your source code, because you don't want to put your API in source control. If anyone uses your API key, their usage would be charged to your account.
Development
See CONTRIBUTING.md
Metadata
Release files for replicate 0.0.1a10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| replicate-0.0.1a10.tar.gz | 11.1 kB | Without provenance | Details |
Release files / replicate-0.0.1a10.tar.gz
| Download URL | replicate-0.0.1a10.tar.gz |
|---|---|
| Size | 11.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a850a0b7050e28d0fca5435f3af13514f4a1cccea7cb6aac0563aac7d1d8e9bc
|
|
BLAKE2b-256 checksum How to use checksums |
ee9d648298217dd6f498484b222efb455464be6a1c904bf01e2bc2f61bd8803e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.13
|
Security for replicate 0.0.1a10
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.