zilliztech/GPTCache 0.1.17

v0.1.17

on GitHub

🎉 Introduction to new functions of GPTCache

1. Add image embedding timm

import requests
from PIL import Image
from gptcache.embedding import Timm

url = 'https://raw.githubusercontent.com/zilliztech/GPTCache/main/docs/GPTCache.png'
image = Image.open(requests.get(url, stream=True).raw)  # Read image url as PIL.Image      
encoder = Timm(model='resnet18')
image_tensor = encoder.preprocess(image)
embed = encoder.to_embeddings(image_tensor)

1. Add Replicate adapter, vqa (visual question answering) (experimental)

from gptcache.adapter import replicate

question = "what is in the image?"

replicate.run(
    "andreasjansson/blip-2:xxx",
    input={
        "image": open(image_path, 'rb'),
        "question": question
    }
)

1. Support to flush data for preventing accidental loss of memory data

from gptcache import cache

cache.flush()

What's Changed

• Add image embedding timm by @jaelgu in #249
• Fix typo in release_note.md by @eltociear in #251
• Allow image path or file-like object as input of image embedding by @jaelgu in #252
• Fix docs by @junjiejiangjjj in #250
• Add replicate run adapter by @shiyu22 in #248
• Fix adapter with image object store by @jaelgu in #253
• Fix image mode issue by @jaelgu in #254
• Fix that 'NoneType' object has no attribute 'answers' by @SimFG in #256
• Update the bootcamp doc by @shiyu22 in #257
• Support to flush data for preventing accidental loss of memory data by @SimFG in #258
• Add evaluator for vqa by @jaelgu in #259
• Enable adapter.replicate docstring in API reference by @jaelgu in #260
• Update the version to 0.1.17 by @SimFG in #261

New Contributors

• @eltociear made their first contribution in #251

Full Changelog: 0.1.16...0.1.17