py-txi 0.6.0

A Python wrapper around TGI and TEI servers

Py-TXI (previously Py-TGI)

Py-TXI is a Python wrapper around Text-Generation-Inference and Text-Embedding-Inference that enables creating and running TGI/TEI instances through the awesome docker-py in a similar style to Transformers API.

Installation

pip install py-txi

Py-TXI is designed to be used in a similar way to Transformers API. We use docker-py (instead of a dirty subprocess solution) so that the containers you run are linked to the main process and are stopped automatically when your code finishes or fails.

Usage

Here's an example of how to use it:

from py_txi import TGI, TGIConfig

llm = TGI(config=TGIConfig(sharded="false"))
output = llm.generate(["Hi, I'm a language model", "I'm fine, how are you?"])
print("LLM:", output)
llm.close()

Output: LLM: ["er. I'm a language modeler. I'm a language modeler. I'm a language", " I'm fine, how are you? I'm fine, how are you? I'm fine,"]

from py_txi import TEI, TEIConfig

embed = TEI(config=TEIConfig(pooling="cls"))
output = embed.encode(["Hi, I'm an embedding model", "I'm fine, how are you?"])
print("Embed:", output)
embed.close()

Output: [array([[ 0.01058742, -0.01588806, -0.03487622, ..., -0.01613717, 0.01772875, -0.02237891]], dtype=float32), array([[ 0.02815401, -0.02892136, -0.0536355 , ..., 0.01225784, -0.00241452, -0.02836569]], dtype=float32)]

That's it! Now you can write your Python scripts using the power of TGI and TEI without having to worry about the underlying Docker containers.