WIP000.1- AI content writer
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@@ -1,16 +1,36 @@
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def get_blog_categories(blog_article):
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import sys
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from .gpt_providers.openai_gpt_provider import openai_chatgpt
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from .gpt_providers.gemini_pro_text import gemini_text_response
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from loguru import logger
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logger.remove()
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logger.add(sys.stdout,
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colorize=True,
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format="<level>{level}</level>|<green>{file}:{line}:{function}</green>| {message}"
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)
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def get_blog_categories(blog_article, gpt_providers):
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"""
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Function to generate blog categories for given blog content.
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"""
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prompt = f"""As an expert SEO and content writer, I will provide you with blog content.
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Suggest only 2 blog categories which are most relevant to provided blog content,
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by identifying the main topic. Also consider the target audience and the
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blog's category taxonomy. Only reply with comma separated values. The blog content is: {blog_article}"
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"""
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try:
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# TBD: Add logic for which_provider and which_model
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response = openai_chatgpt(prompt)
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except Exception as err:
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SystemError(f"Error in generating blog categories: {err}")
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else:
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return response
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blog's category taxonomy. Only reply with comma separated values.
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The blog content is: '{blog_article}'"
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"""
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logger.info("Generating blog categories for the given blog.")
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if 'gemini' in gpt_providers:
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try:
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response = gemini_text_response(prompt)
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return response
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except Exception as err:
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logger.error(f"Failed to get response from gemini: {err}")
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elif 'openai' in gpt_providers:
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try:
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response = openai_chatgpt(prompt)
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return response
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except Exception as err:
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SystemError(f"Error in generating blog get_blog_categories: {err}")
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