Notes

import openai
import os

import pdfplumber

from openai import OpenAI




client = OpenAI(
# defaults to os.environ.get("OPENAI_API_KEY")
api_key=""
)


def get_completion(prompt, model="gpt-4-1106-preview"):
# def get_completion(prompt, model="gpt-3.5-turbo-16k"):
messages=[
{
"role": "user",
"content":prompt,
}
]



response = client.chat.completions.create(
model=model,
messages=messages,
temperature=0,

)

return response.choices[0].message.content

pdf_path = "/content/drive/MyDrive/API_A/eStmt_2023-08-31.pdf"



def extract_text_from_pdf(pdf_path):
text = ""
with pdfplumber.open(pdf_path) as pdf:
for page in pdf.pages:
text += page.extract_text()
return text

pdf_text = extract_text_from_pdf(pdf_path)


task = pdf_text


# prompt = f""" act as bank employee. you have bank statement pdf example scrapped using available technology.
# Your task is to calculate each occurrences of the 'CAN CAPITAL'go line by line and calculate.remember each occurance is important.
# {task}
# """

# response = get_completion(prompt)
# print(response)
print(task)