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[promptflow-evals] Update a missing sample file for the model config change #2833

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Apr 16, 2024
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[promptflow-evals] Update a missing sample file for the model config change #2833

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24 changes: 10 additions & 14 deletions src/promptflow-evals/samples/evaluation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,24 +3,22 @@
import os
from pprint import pprint

from promptflow.entities import AzureOpenAIConnection
from promptflow.core import AzureOpenAIModelConfiguration
from promptflow.evals.evaluate import evaluate
from promptflow.evals.evaluators import RelevanceEvaluator
from promptflow.evals.evaluators.content_safety import ViolenceEvaluator


def built_in_evaluator():
# Initialize Azure OpenAI Connection
model_config = AzureOpenAIConnection(
api_base=os.environ.get("AZURE_OPENAI_ENDPOINT"),
# Initialize Azure OpenAI Model Configuration
model_config = AzureOpenAIModelConfiguration(
azure_endpoint=os.environ.get("AZURE_OPENAI_ENDPOINT"),
api_key=os.environ.get("AZURE_OPENAI_KEY"),
api_type="azure",
azure_deployment=os.environ.get("AZURE_OPENAI_DEPLOYMENT"),
)

deployment_name = "GPT-4-Prod"

# Initialzing Relevance Evaluator
relevance_eval = RelevanceEvaluator(model_config, deployment_name)
relevance_eval = RelevanceEvaluator(model_config)

# Running Relevance Evaluator on single input row
relevance_score = relevance_eval(
Expand Down Expand Up @@ -52,16 +50,14 @@ def answer_length(answer, **kwargs):
if __name__ == "__main__":
# Built-in evaluators
# Initialize Azure OpenAI Connection
model_config = AzureOpenAIConnection(
api_base=os.environ.get("AZURE_OPENAI_ENDPOINT"),
model_config = AzureOpenAIModelConfiguration(
azure_endpoint=os.environ.get("AZURE_OPENAI_ENDPOINT"),
api_key=os.environ.get("AZURE_OPENAI_KEY"),
api_type="azure",
azure_deployment=os.environ.get("AZURE_OPENAI_DEPLOYMENT"),
)

deployment_name = "GPT-4-Prod"

# Initialzing Relevance Evaluator
relevance_eval = RelevanceEvaluator(model_config, deployment_name)
relevance_eval = RelevanceEvaluator(model_config)

# Running Relevance Evaluator on single input row
relevance_score = relevance_eval(
Expand Down
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