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52 lines
1.9 KiB
Python
52 lines
1.9 KiB
Python
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from config import API_KEY
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from openai import OpenAI
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from fileFormatConverter import convert_file
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import requests
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def load_homeworks(urls):
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for url in urls: # Send a GET request to the URL
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with requests.get(url, stream=True) as response:
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response.raise_for_status() # Raise an error for bad responses
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# Open a local file with write-binary mode
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with open(f'file_{urls.index(url)}', 'wb') as f:
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# Write the content of the response to the file in chunks
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for chunk in response.iter_content(chunk_size=8192):
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f.write(chunk)
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return f
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# Example usage
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def create_subtasks_for_homework():
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#inputFileName = input("enter input file name with extension (supported types: pdf, docx): ")
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# outputFileName = input("enter output file name without extension:")
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inputFileName = "HW07.pdf"
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outputFileName = "demo"
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convert_file(inputFileName, outputFileName)
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client = OpenAI(api_key=API_KEY)
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with open(f'{outputFileName}.jsonl', 'r') as file:
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# file_response = client.files.create(
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# file=file,
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# purpose="fine-tune"
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# )
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# fine_tuned_model = client.fine_tuning.jobs.create(
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# training_file=file_response.id,
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# model="gpt-4o-mini-2024-07-18"
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# )
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homework = file.read()
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stream = client.chat.completions.create(
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model="gpt-4o-mini-2024-07-18",
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messages=[{"role": "user", "content": f"""
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This is my homework: {homework}
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If this homework consists of several separate problems, split them.
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For each problem give me problem number, problem name, and problem text"""}],
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stream=True,
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)
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for chunk in stream:
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if chunk.choices[0].delta.content is not None:
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print(chunk.choices[0].delta.content, end="")
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main() |