wehub-resource-sync
48 lines
1.4 KiB
Python
48 lines
1.4 KiB
Python
from mlflow.deployments import get_deploy_client
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def main():
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client = get_deploy_client("http://localhost:7000")
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print(f"OpenAI endpoints: {client.list_endpoints()}\n")
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print(f"OpenAI endpoint info: {client.get_endpoint(endpoint='completions')}\n")
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# Completions example
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response_completions = client.predict(
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endpoint="completions",
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inputs={
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"prompt": "How many patties could be stacked on a cheeseburger before issues arise?",
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"max_tokens": 200,
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"temperature": 0.25,
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},
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)
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print(f"OpenAI completions response: {response_completions}")
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# Chat example
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response_chat = client.predict(
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endpoint="chat",
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inputs={
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"messages": [
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{
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"role": "user",
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"content": "Please recite the preamble to the US Constitution as if it were "
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"written today by a rapper from Reykjavík",
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}
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]
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},
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)
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print(f"OpenAI completions response: {response_chat}")
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# Embeddings example
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response_embeddings = client.predict(
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endpoint="embeddings",
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inputs={
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"input": "When you say 'enriched', what exactly are you enriching the cereal with?"
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},
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)
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print(f"OpenAI response for embeddings: {response_embeddings}")
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if __name__ == "__main__":
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main()
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