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from openai import AzureOpenAI | |
import os | |
# Define the KeyValue class | |
class KeyValue: | |
def __init__(self): | |
""" | |
Initialize the Extractor class. | |
""" | |
# openai.api_type = os.getenv['api_type'] | |
# openai.api_base = os.getenv['api_base'] | |
# openai.api_version = os.getenv['api_version'] | |
# openai.api_key = os.getenv['api_key'] | |
pass | |
def extract_key_value_pair(extracted_summary): | |
""" | |
Extract key-value pairs from the refined summary. | |
Prints the extracted key-value pairs. | |
""" | |
try: | |
client = AzureOpenAI(api_key=os.getenv("AZURE_OPENAI_KEY"), | |
api_version="2023-07-01-preview", | |
azure_endpoint = os.getenv("AZURE_OPENAI_ENDPOINT") | |
) | |
conversation = [ | |
{"role": "system", "content": "You are a helpful Keywords Extracter."}, | |
{"role": "user", "content": f"""analyze the given contract and Extract Keywords for following contract in triple backticks. tags should be bullet points.contract :```{extracted_summary}```."""} | |
] | |
# Call OpenAI GPT-3.5-turbo | |
chat_completion = client.chat.completions.create( | |
model = "GPT-3", | |
messages = conversation, | |
max_tokens=1000, | |
temperature=0 | |
) | |
response = chat_completion.choices[0].message.content | |
return response | |
except Exception as e: | |
# If an error occurs during the key-value extraction process, log the error | |
print(f"Error occurred while extracting key-value pairs: {str(e)}") | |