3c58fd555b
New tools added to ToBeMigrated/ directory: ai_marketing_tools/: - ai_backlinker: AI-powered backlink generation - ai_google_ads_generator: Google Ads generation with templates ai_writers/: - ai_blog_faqs_writer: FAQ generation for blogs - ai_copywriter: Multiple copywriter frameworks (AIDA, PAS, 4C, 4R, etc.) - ai_finance_report_generator: Financial report generation - ai_story_illustrator: Story illustration - ai_story_video_generator: Story video generation - ai_story_writer: AI story writing - github_blogs: GitHub blog integration - speech_to_blog: Audio to blog conversion - twitter_writers: Twitter/X content generation - youtube_writers: YouTube content generation These tools are in ToBeMigrated/ for future migration to the main backend.
51 lines
2.0 KiB
Python
51 lines
2.0 KiB
Python
import sys
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import os
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import json
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from ..gpt_providers.text_generation.openai_text_gen import openai_text_generation
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from ..gpt_providers.text_generation.gemini_pro_text import gemini_text_generation
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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 get_blog_sections_from_websearch(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 a search keyword and its google search result.
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Your task is to write a blog title and 5 blog sub titles, from the given google search result.
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The subtitles should be less than 40 characters and click worthy.
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Do not explain, describe your response. Respond in json format, always name the key as 'blogSections'.
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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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if 'gemini' in gpt_providers:
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try:
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response = gemini_text_response(prompt)
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if '```' in response and '\n' in response:
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response = response.strip().split('\n')
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# Remove the first and last lines
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response = '\n'.join(response[1:-1])
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response = json.loads(response)
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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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logger.error(f"Gemini Error: {response.prompt_feedback}")
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raise err
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elif 'openai' in gpt_providers:
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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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