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import openai |
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import os |
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def analyze_code(code: str) -> str: |
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""" |
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Uses OpenAI's GPT-4.1 mini model to analyze the given code. |
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Returns the analysis as a string. |
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""" |
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system_prompt = "You are a helpful assistant. Analyze the code given to you. Provide insights, strengths, weaknesses, and suggestions for improvement." |
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response = openai.ChatCompletion.create( |
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model="gpt-4.1-mini", |
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messages=[ |
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{"role": "system", "content": system_prompt}, |
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{"role": "user", "content": code} |
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], |
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max_tokens=512, |
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temperature=0.7 |
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) |
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return response.choices[0].message["content"] |
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