#import base64, cv2 import pandas as pd from openai import OpenAI def get_questions(file_path): df = pd.read_json(file_path, lines=True) result=[] for index, row in df.iterrows(): result.append([row["Level"], row["Question"], row["file_name"], row["Final answer"]]) return result #def get_img_b64(file_path): # with open(file_path, "rb") as file: # return base64.b64encode(file.read()).decode("utf-8") #def get_imgs_b64(file_path): # video = cv2.VideoCapture(file_path) # result = [] # while video.isOpened(): # success, frame = video.read() # if not success: # break # _, buffer = cv2.imencode(".png", frame) # result.append(base64.b64encode(buffer).decode("utf-8")) # video.release() # return result def get_final_answer(model, question, answer): prompt_template = """ You are an expert question answering assistant. Given a question and an initial answer, your task is to provide the final answer. Your final answer must be a number and/or string OR as few words as possible OR a comma-separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or % unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations, and write the digits in plain text unless specified otherwise. If you are asked for a comma-separated list, apply the above rules depending of whether the element to be put in the list is a number or a string. If the final answer is a number, use a number not a word. If the final answer is a word, start with an uppercase character. If the final answer is a comma-separated list of numbers, use a space character after each comma. If the final answer is a comma-separated list of strings, start with a lowercase character. **Question:** """ + question + """ **Initial answer:** """ + answer + """ **Example 1:** How many 'r's are in strawberry? 3 **Example 2:** What is the opposite of black? White **Example 3:** What is the biggest city in California? Los Angeles **Example 4:** What is the superlative of good? Best **Example 5:** What are the first 10 numbers in the Fibonacci sequence? 0, 1, 1, 2, 3, 5, 8, 13, 21, 34 **Final answer:** """ client = OpenAI() completion = client.chat.completions.create( messages=[{"role": "user", "content": [{"type": "text", "text": prompt_template}]}], model=model ) return completion.choices[0].message.content