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Jason Liu
42 lines
1.8 KiB
Python
42 lines
1.8 KiB
Python
from openai import OpenAI
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client = OpenAI()
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response = client.chat.completions.create(
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model="gpt-4-vision-preview",
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max_tokens=1000,
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": "Describe this data accurately as a table in markdown format.",
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},
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{
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"type": "image_url",
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"image_url": {
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# "url": "https://a.storyblok.com/f/47007/2400x1260/f816b031cb/uk-ireland-in-three-charts_chart_a.png/m/2880x0",
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# "url": "https://a.storyblok.com/f/47007/2400x2000/bf383abc3c/231031_uk-ireland-in-three-charts_table_v01_b.png/m/2880x0",
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# "url": "https://a.storyblok.com/f/47007/4800x2766/1688e25601/230629_attoptinratesmidyear_blog_chart02_v01.png/m/2880x0"
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"url": "https://a.storyblok.com/f/47007/2400x1260/934d294894/uk-ireland-in-three-charts_chart_b.png/m/2880x0"
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},
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},
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{
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"type": "text",
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"text": """
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First take a moment to reason about the best set of headers for the tables.
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Write a good h1 for the image above. Then follow up with a short description of the what the data is about.
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Then for each table you identified, write a h2 tag that is a descriptive title of the table.
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Then follow up with a short description of the what the data is about.
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Lastly, produce the markdown table for each table you identified.
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""",
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},
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],
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}
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],
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)
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print(response.choices[0].message.content)
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