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from openai import OpenAI

# initialize the client but point it to TGI
client = OpenAI(
  base_url="https://api-inference.huggingface.co/v1",
  api_key="hf_xxx" # Replace with your token
) 

chat_completion = client.chat.completions.create(
    model="google/gemma-7b-it",

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import os
#set you runpod key as a environment variable
os.environ['RUNPOD_API_KEY'] = "your_runpod_api_key"

import runpod
from IPython.display import display, Markdown

runpod.api_key = os.getenv("RUNPOD_API_KEY", "your_runpod_api_key")

if runpod.api_key == "your_runpod_api_key":

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# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed 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

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# Source: https://gist.github.com/8d941690a087b0de0e2731a52cfb1f51

###############################################################
# Building Event-Driven Microservices In Kubernetes With Dapr #
# https://youtu.be/-4sHUvfk2Eg                                #
###############################################################

# Additional Info:
# - https://dapr.io
# - What is microservices architecture?: https://youtu.be/F-37_gV2tMs

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