packages/python/mistral.py (32 lines of code) (raw):
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#--web true
#--kind python:default
from subprocess import run
import os, io
def login(args, status: io.TextIOWrapper):
from huggingface_hub import login, whoami
try:
whoami()
status.write("already logged in\n")
return True
except:
try:
login(token=args.get("hf_token", ""))
status.write("logged in\n")
return True
except:
status.write("cannot log in - did you provide a correct hf_token?\n")
return False
def setup(args, status: io.TextIOWrapper):
#status.write("installing huggingface_hub")
#run(["pip", "install", "huggingface_hub"])
#status.write("installing accelerate")
#run(["pip", "install", "accelerate"])
#status.write("installing protobuf")
#run(["pip", "install", "protobuf"])
#status.write("installing sentencepiece")
#run(["pip", "install", "sentencepiece"])
#status.write("installing mistral_inference")
#run(["pip", "install", "mistral_inference"])
if login(args, status):
status.write("downloading mistral model - it is 14GB be patient!\n")
from transformers import pipeline
pipeline("text-generation", model="mistralai/Mistral-7B-Instruct-v0.3")
status.write("mistral model - downloaded\n")
def main(args):
print(repr(args))
if "setup_status" in args:
res = str(args['setup_status']).split("\n")
print(repr(res))
return { "body": "setup in progress", "statusCode": 202 }
from huggingface_hub import whoami
return {
"body": whoami()
}