52 lines
2.1 KiB
Python
52 lines
2.1 KiB
Python
import os
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import sys
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import json
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from pathlib import Path
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from dotenv import load_dotenv
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load_dotenv(Path('../.env'))
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from ..gpt_providers.openai_chat_completion 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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# FIXME: Provide num_blogs, num_faqs as inputs.
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def write_blog_google_serp(search_keyword, search_results):
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"""Combine the given online research and gpt blog content"""
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gpt_providers = os.environ["GPT_PROVIDER"]
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prompt = f"""
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As a SEO expert and content writer, I will provide you with my web research keyword and its google search result in json format.
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Your task is to write a SEO optimized, unique blog and 5 FAQs.
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1). Your blog content should compete against all, in the provided search results. Follow best SEO practises.
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2). Your FAQ should be based on 'People also ask' and 'Related Queries' from given result.
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Always include answers for each FAQ, use your knowledge and confirm with snippets given in search result.
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3). Your blog should be detailed, unique and written in markdown language.
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4). Do not explain, describe your response.
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Web Research Keyword: "{search_keyword}"
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Google search Result: "{search_results}"
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"""
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logger.info("Generating blog and FAQs from web search result.")
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if 'google' in gpt_providers.lower():
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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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raise err
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elif 'openai' in gpt_providers.lower():
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try:
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logger.info("Calling OpenAI LLM.")
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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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logger.error(f"Failed to get response from Openai: {err}")
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raise err
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