Blog writer enhancements & fixes
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ajaysi
@@ -13,26 +13,114 @@ logger.add(sys.stdout,
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from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
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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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prompt = f"""
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As expert Creative Content writer,
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I want you to write highly detailed blog post, that explores {search_keyword} and also include 5 FAQs.
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I want the post to offer unique insights, relatable examples, and a fresh perspective on the topic.
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Here are some Google search results to spark your creativity on {search_keyword}:
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\n\n
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\"\"\"{search_results}\"\"\"
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"""
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def write_blog_google_serp(keywords, search_results, blog_params=None):
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"""
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Write a blog post using search results from Google SERP.
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logger.info("Generating blog and FAQs from Google web search results.")
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Args:
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keywords (str): The keywords or topic for the blog
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search_results (dict): Results from Google SERP search
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blog_params (dict, optional): Blog content characteristics:
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- blog_length: Target word count
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- blog_tone: Content tone
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- blog_demographic: Target audience
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- blog_type: Type of blog post
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- blog_language: Language for the blog
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Returns:
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str: The generated blog content in markdown format
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"""
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# If no blog parameters are provided, use defaults
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if blog_params is None:
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blog_params = {
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"blog_length": 2000,
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"blog_tone": "Professional",
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"blog_demographic": "Professional",
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"blog_type": "Informational",
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"blog_language": "English"
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}
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# Ensure all parameters have default values
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blog_length = blog_params.get("blog_length", 2000)
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blog_tone = blog_params.get("blog_tone", "Professional")
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blog_demographic = blog_params.get("blog_demographic", "Professional")
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blog_type = blog_params.get("blog_type", "Informational")
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blog_language = blog_params.get("blog_language", "English")
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logger.info(f"Generating {blog_tone} {blog_type} blog of {blog_length} words for {blog_demographic} audience in {blog_language}")
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try:
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response = llm_text_gen(prompt)
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# Build a prompt based on search results
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prompt_parts = [
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f"You are a specialized blog writer who writes in a {blog_tone} tone for a {blog_demographic} audience. "
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f"Create a {blog_type} blog post that is approximately {blog_length} words in {blog_language}.",
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f"The blog should be about: {keywords}",
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"Use the following search results to create an informative, accurate, and well-structured blog post:"
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]
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# Add organic search results
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if 'organic' in search_results:
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prompt_parts.append("\nSearch results:")
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for i, result in enumerate(search_results['organic'][:5], 1):
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title = result.get('title', 'No title')
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snippet = result.get('snippet', 'No snippet')
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prompt_parts.append(f"{i}. {title}: {snippet}")
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# Add people also ask questions if available
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if 'peopleAlsoAsk' in search_results and search_results['peopleAlsoAsk']:
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prompt_parts.append("\nPeople also ask:")
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for i, question in enumerate(search_results['peopleAlsoAsk'][:3], 1):
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q_text = question.get('question', 'No question')
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q_answer = question.get('answer', {}).get('snippet', 'No answer')
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prompt_parts.append(f"{i}. Q: {q_text}\n A: {q_answer}")
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# Add related searches if available
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if 'relatedSearches' in search_results and search_results['relatedSearches']:
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related = [item.get('query', '') for item in search_results['relatedSearches'][:5]]
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if related:
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prompt_parts.append("\nRelated topics to consider including:")
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prompt_parts.append(", ".join(related))
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# Add specific instructions based on blog_type
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type_instructions = {
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"Informational": "Focus on providing factual information and educating the reader about the topic.",
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"How-to": "Include clear step-by-step instructions with actionable advice.",
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"List": "Organize content into a numbered or bulleted list of points, tips, or examples.",
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"Review": "Provide balanced analysis with pros and cons, and a clear conclusion or recommendation.",
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"Tutorial": "Include detailed instructions with examples and explanations for each step.",
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"Opinion": "Present a clear perspective supported by evidence, while acknowledging other viewpoints."
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}
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prompt_parts.append(f"\nSpecific instructions: {type_instructions.get(blog_type, '')}")
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# Add formatting instructions
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prompt_parts.append("""
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Format the blog post in markdown with:
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- A compelling title (# Title)
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- An introduction that hooks the reader
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- Well-structured sections with appropriate headings (## Headings)
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- Bullet points or numbered lists where appropriate
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- A conclusion summarizing key points
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- Make sure all content is accurate, informative, and adds value to the reader.
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- Include 2-3 subheadings to organize the content well.
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- Be concise and to the point.
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- Write in an engaging, reader-friendly style.
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- Avoid using phrases like "According to the search results" or "Based on the information provided."
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- Present information as direct knowledge.
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""")
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# Combine all prompt parts
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full_prompt = "\n".join(prompt_parts)
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# Generate the blog content using the prompt
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response = llm_text_gen(full_prompt)
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# Return the generated content
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return response
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except Exception as err:
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logger.error(f"Exit: Failed to get response from LLM: {err}")
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exit(1)
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logger.error(f"Error generating blog from search results: {err}")
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raise
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def improve_blog_intro(blog_content, blog_intro):
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