Yasu777 commited on
Commit
c529944
·
1 Parent(s): aa52b0f

Update third.py

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Files changed (1) hide show
  1. third.py +5 -4
third.py CHANGED
@@ -49,22 +49,23 @@ async def main(editable_output2, keyword_id):
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  h3_texts = [h3.get_text() for h3 in soup.find_all('h3')]
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  # Generate the purpose.
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- purpose = f"about {h1_text}, focusing particularly on {' and '.join(h2_texts)}, to investigate the latest information and details"
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  # Specify the type of information you want to research.
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- if "人物" in h1_text or any("人物" in h2_text for h2_text in h2_texts):
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  # If the topic is about a person, specify that you want to research their name and career.
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  purpose += " including the person's name and career"
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- elif "商品" in h1_text or any("商品" in h2_text for h2_text in h2_texts):
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  # If the topic is about a product, specify that you want to research the brand name, product name, and price.
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  purpose += " including the brand name, product name, and price"
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- elif "イベント" in h1_text or any("イベント" in h2_text for h2_text in h2_texts):
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  # If the topic is about an event, specify that you want to research the event's content, schedule, and venue.
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  purpose += " including the event's content, schedule, and venue"
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  # Convert the purpose into an instruction in the form of a question.
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  instruction = f"Can you research {purpose} and include specific details such as names, ages, careers, product names, service names, store names, locations, and times in your response?"
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  # Run the instruction
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  output_text = agent.run(instruction)
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  h3_texts = [h3.get_text() for h3 in soup.find_all('h3')]
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  # Generate the purpose.
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+ purpose = f"about {h1_text}, focusing particularly on {' and '.join(h2_texts)} and {' and '.join(h3_texts)}, to investigate the latest information and details"
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  # Specify the type of information you want to research.
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+ if "人物" in h1_text or any("人物" in h2_text for h2_text in h2_texts) or any("人物" in h3_text for h3_text in h3_texts):
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  # If the topic is about a person, specify that you want to research their name and career.
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  purpose += " including the person's name and career"
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+ elif "商品" in h1_text or any("商品" in h2_text for h2_text in h2_texts) or any("商品" in h3_text for h3_text in h3_texts):
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  # If the topic is about a product, specify that you want to research the brand name, product name, and price.
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  purpose += " including the brand name, product name, and price"
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+ elif "イベント" in h1_text or any("イベント" in h2_text for h2_text in h2_texts) or any("イベント" in h3_text for h3_text in h3_texts):
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  # If the topic is about an event, specify that you want to research the event's content, schedule, and venue.
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  purpose += " including the event's content, schedule, and venue"
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  # Convert the purpose into an instruction in the form of a question.
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  instruction = f"Can you research {purpose} and include specific details such as names, ages, careers, product names, service names, store names, locations, and times in your response?"
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+
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  # Run the instruction
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  output_text = agent.run(instruction)
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