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Improve blog, better prompts, WIP

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This commit is contained in:
ajaysi
2024-05-13 18:15:46 +05:30
parent 6a95b96973
commit 417183a6d2
3 changed files with 63 additions and 66 deletions
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82
lib/ai_writers/blog_from_google_serp.py
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@@ -1,6 +1,7 @@
import os
import sys
import json
import configparser
from loguru import logger
logger.remove()
@@ -15,26 +16,29 @@ from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
# FIXME: Provide num_blogs, num_faqs as inputs.
def write_blog_google_serp(search_keyword, search_results):
"""Combine the given online research and gpt blog content"""
prompt = f"""
As expert Creative Content writer, writing up fresh ideas with care and uniqueness.
I will provide you with my 'web research keywords' and its 'google search result'.
Your goal is to create detailed SEO-optimized content and also include 5 FAQs.
Follow below guidelines:
1). Your blog content should compete against all blogs from search results.
2). Your FAQ should be based on 'People also ask' and 'Related Queries' from given search result.
Always include answers for each FAQ, use your knowledge and confirm with snippets given in search result.
3). Act as subject matter expert for given research keywords: {search_keyword}.
4). Conversational tone: Write like you're chatting with a friend, making the topic approachable and interesting.
5). Your blog should be highly formatted in markdown style and highly readable.
6). Friendly tone: Write like you're talking to a friend, not giving a lecture.
7). Simple explanations: No robotic jargon! Make AI writing easy to understand.
8). Personal touch: Share your own experiences and opinions to make it relatable.
9). Examples and stories: Bring the topic to life with real-world examples.
try:
config_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..', 'main_config'))
config = configparser.ConfigParser()
config.read(config_path, encoding='utf-8')
except Exception as err:
print(f"Error: Failed to read values from config: {err}")
exit(1)
\n\nWeb Research Keyword: "{search_keyword}"
Here are some Google search results to spark your creativity: "{search_results}".
But don't just rehash them - use your own voice and insights!
prompt = f"""
As expert Creative Content writer,
I want you to write {config.get('blog_characteristics', 'blog_type')} blog post,
that explores {search_keyword} and also include 5 FAQs.
Below are the guidelines to follow:
1). You must respond in {config.get('blog_characteristics', 'blog_language')} language.
2). Tone and Brand Alignment: Adjust your tone, voice, personality for {config.get('blog_characteristics', 'blog_tone')} audience.
3). Make sure your response content length is of {config.get('blog_characteristics', 'blog_length')} words.
4). Include FAQs from 'People also Ask' section of provided context 'google search result'.
I want the post to offer unique insights, relatable examples, and a fresh perspective on the topic.
Here are some Google search results to spark your creativity on {search_keyword}:
\n\n
\"\"\"{search_results}\"\"\"
"""
logger.info("Generating blog and FAQs from Google web search results.")
try:
@@ -48,14 +52,20 @@ def write_blog_google_serp(search_keyword, search_results):
def improve_blog_intro(blog_content, blog_intro):
"""Combine the given online research and gpt blog content"""
prompt = f"""
As an expert Content editor, I will provide you with my 'blog content' and its new 'blog introduction'.
Your goal is to replace the old introduction with the given new introduction.
Do Not change any other section of the blog content.
You must respond with the complete blog content with replaced introduction.
Do not provide explanations for your response.
You are a skilled content editor, tasked with creating an engaging peek into the blog post provided.
This peek should entice readers to delve into the full content.
\n\nBlog Content: "{blog_content}"
Blog Introduction: "{blog_intro}".
Here's what you need to do:
1. **Replace the old blog introduction with the new one provided.**
2. **Craft a short and captivating summary of the key points and interesting takeaways from the blog.**
- Highlight what makes the blog unique and worth reading.
- This peek should be placed directly before the new introduction.
3. **Include the complete blog content, with the new introduction and the added peek.**
Do not provide explanations for your actions, simply present the edited blog content.
Blog Content: \"\"\"{blog_content}\"\"\"
Blog Introduction: \"\"\"{blog_intro}\"\"\"
"""
logger.info("Generating blog introduction from tavily answer.")
try:
@@ -93,17 +103,21 @@ def blog_with_keywords(blog, keywords):
def blog_with_research(report, blog):
"""Combine the given online research and gpt blog content"""
prompt = f"""
You are Alwrity, the Creative Content writer, writing up fresh ideas and crafts them with care and uniqueness.
She makes complex topics simple to understand and writes in a friendly, conversational tone that connects with everyone.
She excels at simplifying complex topics and writes in the first person, for her audience.
As expert Creative Content writer, Your task is to update a blog post using the latest research.
Here's what you need to do:
I will provide you with a latest 'research report' and a outdated 'blog content' on the same topic.
Your task is to update the given blog content, using the new research report, as context.
1. **Read the outdated blog content and the new research report carefully.**
2. **Identify key insights and updates from the research report that should be incorporated into the blog post.**
3. **Rewrite sections of the blog post to reflect the new information, ensuring a smooth and natural flow.**
4. **Maintain the blog's original friendly and conversational tone throughout.**
\n\nResearch report: '{report}'
\n\nBlog content: '{blog}'
"""
Remember, your goal is to seamlessly blend the new information into the existing blog post, making it accurate and engaging for readers.
\n\n
Research Report: \"\"\"{report}\"\"\"
Blog Content: \"\"\"{blog}\"\"\"
"""
try:
response = llm_text_gen(prompt)
return response

41
lib/ai_writers/keywords_to_blog.py
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@@ -19,8 +19,6 @@ from .blog_from_google_serp import write_blog_google_serp, improve_blog_intro, b
from ..ai_web_researcher.you_web_reseacher import get_rag_results, search_ydc_index
from ..blog_metadata.get_blog_metadata import blog_metadata
from ..blog_postprocessing.save_blog_to_file import save_blog_to_file
from ..blog_postprocessing.blog_proof_reader import blog_proof_editor
from ..blog_postprocessing.humanize_blog import blog_humanize
def write_blog_from_keywords(search_keywords, url=None):
@@ -38,18 +36,17 @@ def write_blog_from_keywords(search_keywords, url=None):
google_search_result, g_titles = do_google_serp_search(search_keywords)
example_blog_titles.append(g_titles)
blog_markdown_str = write_blog_google_serp(search_keywords, google_search_result)
tavily_search_result, t_titles, t_answer = do_tavily_ai_search(search_keywords)
# Hate the robotic introductions.
blog_markdown_str = improve_blog_intro(blog_markdown_str, t_answer)
except Exception as err:
logger.error(f"Failed in Google web research: {err}")
# logger.info/check the final blog content.
logger.info("\n######### Draft1: Finished Blog from Google web search: ###########\n\n")
# TBD: The 3 drafts are very similar, the intention was to fact check the AI content multiple times.
# Commenting it out for blog writing, using Tavily for other forms of writing.
# Do Tavily AI research to augument the above blog.
try:
tavily_search_result, t_titles, t_answer = do_tavily_ai_search(search_keywords)
blog_markdown_str = improve_blog_intro(blog_markdown_str, t_answer)
example_blog_titles.append(t_titles)
#example_blog_titles.append(t_titles)
blog_markdown_str = blog_with_research(blog_markdown_str, tavily_search_result)
logger.info(f"######### Blog content after Tavily AI research: ######### \n\n{blog_markdown_str}\n\n")
except Exception as err:
@@ -66,28 +63,14 @@ def write_blog_from_keywords(search_keywords, url=None):
# logger.info("######### Draft3: Blog content after Tavily AI research: ######### \n\n")
# Do Google trends analysis and combine with latest blog.
try:
pytrends_search_result = do_google_pytrends_analysis(search_keywords)
logger.info(f"Google Trends keywords to use in the blog: {pytrends_search_result}\n")
blog_markdown_str = blog_with_keywords(blog_markdown_str, pytrends_search_result)
blog_markdown_str = improve_blog_intro(blog_markdown_str, t_answer)
except Exception as err:
logger.error(f"Failed to do Google Trends Analysis:{err}")
logger.info(f"########### Blog Content After Google Trends Analysis:######### \n {blog_markdown_str}\n\n")
# Combine YOU.com RAG search with the latest blog content.
#you_rag_result = get_rag_results(search_keywords)
#you_search_result = search_ydc_index(search_keywords)
#blog_markdown_str = blog_with_research(blog_markdown_str, you_search_result)
#logger.info(f"Final blog content: {blog_markdown_str}")
#logger.info("Pass Final blog for blog-proof reading and *improvements.")
# Pass the final content for proofreading.
#blog_markdown_str = blog_proof_editor(blog_markdown_str)
# Pass the content to remove obivious words used by AI.
#logger.info("Pass Final blog for Humanizing it further, Doesn't matter, Really?")
#blog_markdown_str = blog_humanize(blog_markdown_str)
# try:
# pytrends_search_result = do_google_pytrends_analysis(search_keywords)
# logger.info(f"Google Trends keywords to use in the blog: {pytrends_search_result}\n")
# blog_markdown_str = blog_with_keywords(blog_markdown_str, pytrends_search_result)
# except Exception as err:
# logger.error(f"Failed to do Google Trends Analysis:{err}")
# logger.info(f"########### Blog Content After Google Trends Analysis:######### \n {blog_markdown_str}\n\n")
#
blog_title, blog_meta_desc, blog_tags, blog_categories = blog_metadata(blog_markdown_str,
search_keywords, example_blog_titles)

6
main_config
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@@ -9,15 +9,15 @@
[blog_characteristics]
# Length of blogs Or word count. Note: It wont be exact and depends on GPT providers and Max token count.
blog_length = 3000
blog_length = 1200
# company/brand-name
# professional, how-to, begginer, research, programming, casual, etc
blog_tone = "professional"
blog_tone = "Professional"
# Target Audience, Gen-Z, Tech-savvy, Working professional, students, kids etc
blog_demographic = "All"
blog_demographic = "Students"
# informational, commercial, company, news, finance, competitor, programming, scholar etc
blog_type = "Informational"