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import openai | |
import os | |
# Define the Clauses class | |
class Clauses: | |
def __init__(self): | |
""" | |
Initialize the Extractor class. | |
""" | |
# Set OpenAI API key | |
# os.environ["OPENAI_API_KEY"] = "" | |
def get_extracted_clauses(extracted_summary): | |
""" | |
Gets extracted clauses using GPT-3 based on the provided PDF. | |
Args: | |
max_tokens (int, optional): Maximum number of tokens for GPT-3 response. | |
Returns: | |
str: Extracted clauses from GPT-3 response. | |
""" | |
try: | |
# Prepare a prompt for GPT-3 that includes the extracted PDF text and instructions | |
prompt = f""" | |
Extract clauses and sub-clauses from the provided contract PDF: | |
{extracted_summary} | |
Instructions: Organize the extracted clauses and sub clauses in a readable format. | |
""" | |
# Use GPT-3 to process the prompt and generate clauses | |
response = openai.Completion.create( | |
engine="text-davinci-003", | |
prompt=prompt, | |
max_tokens=1000 | |
) | |
# Extract the generated text from the GPT-3 response | |
result = response['choices'][0]['text'].strip() | |
return result | |
except Exception as e: | |
# If an error occurs during GPT-3 processing, log the error and raise an exception | |
print(f"Error occurred while processing PDF with GPT-3. Error message: {str(e)}") | |
raise | |