wehub-resource-sync
35 lines
1.0 KiB
Python
35 lines
1.0 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"Mistral endpoints: {client.list_endpoints()}\n")
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print(f"Mistral completions endpoint info: {client.get_endpoint(endpoint='completions')}\n")
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# Completions request
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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 average size European ferrets can fit inside a standard olympic?",
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"temperature": 0.1,
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},
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)
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print(f"Mistral response for completions: {response_completions}")
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# Embeddings request
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response_embeddings = client.predict(
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endpoint="embeddings",
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inputs={
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"input": [
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"How does your culture celebrate the New Year, and how does it differ from other countries' "
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"celebrations?"
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]
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},
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)
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print(f"Mistral response for embeddings: {response_embeddings}")
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if __name__ == "__main__":
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main()
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