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70 lines
2.0 KiB
Python
70 lines
2.0 KiB
Python
from autogpt.llm_utils import create_chat_completion
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def summarize_text(driver, text, question):
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if not text:
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return "Error: No text to summarize"
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text_length = len(text)
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print(f"Text length: {text_length} characters")
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summaries = []
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chunks = list(split_text(text))
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scroll_ratio = 1 / len(chunks)
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for i, chunk in enumerate(chunks):
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scroll_to_percentage(driver, scroll_ratio * i)
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print(f"Summarizing chunk {i + 1} / {len(chunks)}")
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messages = [create_message(chunk, question)]
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summary = create_chat_completion(
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model="gpt-3.5-turbo",
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messages=messages,
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max_tokens=300,
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)
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summaries.append(summary)
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print(f"Summarized {len(chunks)} chunks.")
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combined_summary = "\n".join(summaries)
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messages = [create_message(combined_summary, question)]
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return create_chat_completion(
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model="gpt-3.5-turbo",
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messages=messages,
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max_tokens=300,
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)
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def split_text(text, max_length=8192):
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paragraphs = text.split("\n")
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current_length = 0
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current_chunk = []
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for paragraph in paragraphs:
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if current_length + len(paragraph) + 1 <= max_length:
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current_chunk.append(paragraph)
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current_length += len(paragraph) + 1
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else:
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yield "\n".join(current_chunk)
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current_chunk = [paragraph]
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current_length = len(paragraph) + 1
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if current_chunk:
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yield "\n".join(current_chunk)
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def create_message(chunk, question):
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return {
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"role": "user",
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"content": f'"""{chunk}""" Using the above text, please answer the following'
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f' question: "{question}" -- if the question cannot be answered using the text,'
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" please summarize the text.",
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}
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def scroll_to_percentage(driver, ratio):
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if ratio < 0 or ratio > 1:
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raise ValueError("Percentage should be between 0 and 1")
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driver.execute_script(f"window.scrollTo(0, document.body.scrollHeight * {ratio});")
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