Update util.py
Browse files
util.py
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@@ -1,6 +1,5 @@
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import os
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import pandas as pd
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from google import genai
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def get_questions(file_path, level):
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df = pd.read_json(file_path, lines=True)
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@@ -25,40 +24,4 @@ def read_file(file_path):
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elif ext in (".json", ".jsonl"):
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df = pd.read_json(file_path)
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return "" if df is None else df.to_json()
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def get_final_answer(model, question, answer):
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prompt_template = """
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You are an expert question answering assistant. Given a question and an initial answer, your task is to provide the final answer.
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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.
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If you are asked for a number, don't use comma to write your number neither use units such as USD, $, percent, or % unless specified otherwise.
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If you are asked for a string, don't use articles, neither abbreviations (for example cities), and write the digits in plain text unless specified otherwise.
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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.
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If the final answer is a number, use a number not a word.
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If the final answer is a word, start with an uppercase character.
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If the final answer is a comma-separated list of numbers, use a space character after each comma.
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If the final answer is a comma-separated list of strings, use a space character after each comma and start with a lowercase character.
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Do not add any content to the final answer that is not in the initial answer.
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**Question:** """ + question + """
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**Initial answer:** """ + answer + """
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**Example 1:** How many 'r's are in strawberry? 3
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**Example 2:** What is the opposite of black? White
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**Example 3:** What is the biggest city in California? Los Angeles
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**Example 4:** What is the superlative of good? Best
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**Example 5:** What are the first 10 numbers in the Fibonacci sequence? 0, 1, 1, 2, 3, 5, 8, 13, 21, 34
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**Final answer:**
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"""
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client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
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response = client.models.generate_content(
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model=model,
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contents=[prompt_template]
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)
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return response.text
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import os
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import pandas as pd
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def get_questions(file_path, level):
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df = pd.read_json(file_path, lines=True)
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elif ext in (".json", ".jsonl"):
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df = pd.read_json(file_path)
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return "" if df is None else df.to_json()
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