v0.1.16

🎉 Introduction to new functions of GPTCache

1. Add StableDiffusion adapter (experimental)

import torch

from gptcache.adapter.diffusers import StableDiffusionPipeline
from gptcache.processor.pre import get_prompt
from gptcache import cache

cache.init(
    pre_embedding_func=get_prompt,
)
model_id = "stabilityai/stable-diffusion-2-1"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)

prompt = "a photo of an astronaut riding a horse on mars"
pipe(prompt=prompt).images[0]

2. Add speech to text bootcamp, link

3. More convenient management of cache files

from gptcache.manager.factory import manager_factory

data_manager = manager_factory('sqlite,faiss', data_dir="test_cache", vector_params={"dimension": 5})

4. Add a simple GPTCache server (experimental)

After starting this server, you can:

• put the data to cache, like: curl -X PUT -d "receive a hello message" "http://localhost:8000?prompt=hello"
• get the data from cache, like: curl -X GET "http://localhost:8000?prompt=hello"

Currently the service is just a map cache, more functions are still under development.

What's Changed

• Adapt StableDiffusion by @jaelgu in #234
• Add audio embedding with data2vec by @jaelgu in #238
• Support multi-model question by @junjiejiangjjj in #235
• Add speech to text bootcamp by @shiyu22 in #239
• Fix auto API references script for gptcache.adapter by @jaelgu in #240
• Update README with multimodal adapter in modules by @jaelgu in #242
• Add manager_factory to create data_manager by @junjiejiangjjj in #241
• Add a simple GPTCache server by @SimFG in #244

Full Changelog: 0.1.15...0.1.16