metadata_transformer.py

import os
from huggingface_hub import login
from easyllm.clients import huggingface
from easyllm.prompt_utils import build_llama2_prompt

TOKEN = os.environ.get("TOKEN")

login(token=TOKEN)

huggingface.prompt_builder = build_llama2_prompt

system_message = """
You are a metadata schema translator. You translate metadata from one schema to another.
"""

def translate(schema_input, schema_target):
    propmpt = '"""{} \n Translate the schema metadata file above to the schema: {}"""'.format(schema_input, schema_target)    
    response = huggingface.ChatCompletion.create(
        model="mistralai/Mistral-7B-v0.1",
        messages=[
            {"role": "system", "content": system_message},
            {"role": "user", "content": propmpt},
        ],
          temperature=0.9,
          top_p=0.6,
          max_tokens=256,
    )
    return response['choices'][0]['message']['content']