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WIP- Try AI-Writer and Web research; working. Working on usuability aspects.

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This commit is contained in:
AjaySi
2024-03-02 08:52:42 +05:30
parent a87a87a620
commit 87053406ba
14 changed files with 162 additions and 108 deletions
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15
lib/blog_metadata/get_blog_category.py
View File

@@ -1,8 +1,9 @@
import sys
import os
from .gpt_providers.openai_gpt_provider import openai_chatgpt
from .gpt_providers.gemini_pro_text import gemini_text_response
from pathlib import Path
from dotenv import load_dotenv
load_dotenv(Path('../.env'))
from loguru import logger
logger.remove()
logger.add(sys.stdout,
@@ -10,11 +11,15 @@ logger.add(sys.stdout,
format="<level>{level}</level>|<green>{file}:{line}:{function}</green>| {message}"
)
from ..gpt_providers.openai_gpt_provider import openai_chatgpt
from ..gpt_providers.gemini_pro_text import gemini_text_response
def get_blog_categories(blog_article, gpt_providers):
def get_blog_categories(blog_article):
"""
Function to generate blog categories for given blog content.
"""
gpt_providers = os.environ["GPT_PROVIDER"]
prompt = f"""As an expert SEO and content writer, I will provide you with blog content.
Suggest only 2 blog categories which are most relevant to provided blog content,
by identifying the main topic. Also consider the target audience and the
@@ -22,7 +27,7 @@ def get_blog_categories(blog_article, gpt_providers):
The blog content is: '{blog_article}'"
"""
logger.info("Generating blog categories for the given blog.")
if 'gemini' in gpt_providers:
if 'google' in gpt_providers:
try:
response = gemini_text_response(prompt)
return response

13
lib/blog_metadata/get_blog_meta_desc.py
View File

@@ -1,11 +1,6 @@
import sys
import os
from pathlib import Path
from .gpt_providers.openai_chat_completion import openai_chatgpt
from .gpt_providers.gemini_pro_text import gemini_text_response
import google.generativeai as genai
from dotenv import load_dotenv
load_dotenv(Path('../.env'))
@@ -16,11 +11,15 @@ logger.add(sys.stdout,
format="<level>{level}</level>|<green>{file}:{line}:{function}</green>| {message}"
)
from ..gpt_providers.openai_chat_completion import openai_chatgpt
from ..gpt_providers.gemini_pro_text import gemini_text_response
def generate_blog_description(blog_content, gpt_providers):
def generate_blog_description(blog_content):
"""
Prompt designed to give SEO optimized blog descripton
"""
gpt_providers = os.environ["GPT_PROVIDER"]
logger.info("Generating Blog Meta Description for the given blog.")
prompt = f"""As an expert SEO and blog writer, Compose a compelling meta description for the given blog content,
adhering to SEO best practices. Keep it between 150-160 characters.
@@ -28,7 +27,7 @@ def generate_blog_description(blog_content, gpt_providers):
Respond with only one of your best effort and do not include your explanations.
Blog Content: '{blog_content}'"""
if 'gemini' in gpt_providers:
if 'google' in gpt_providers:
try:
response = gemini_text_response(prompt)
return response

10
lib/blog_metadata/get_blog_metadata.py
View File

@@ -13,14 +13,14 @@ logger.add(sys.stdout,
)
def blog_metadata(blog_content, gpt_providers="openai"):
def blog_metadata(blog_content, search_keywords, blog_titles):
""" Common function to get blog metadata """
blog_title = generate_blog_title(blog_content, gpt_providers)
blog_meta_desc = generate_blog_description(blog_content, gpt_providers)
blog_title = generate_blog_title(blog_content, search_keywords, blog_titles)
blog_meta_desc = generate_blog_description(blog_content)
logger.info(f"The blog meta description is: {blog_meta_desc}\n")
blog_tags = get_blog_tags(blog_content, gpt_providers)
blog_tags = get_blog_tags(blog_content)
logger.info(f"Blog tags for generated content: {blog_tags}")
blog_categories = get_blog_categories(blog_content, gpt_providers)
blog_categories = get_blog_categories(blog_content)
logger.info(f"Generated blog categories: {blog_categories}\n")
return(blog_title, blog_meta_desc, blog_tags, blog_categories)

42
lib/blog_metadata/get_blog_title.py
View File

@@ -1,7 +1,12 @@
import os
import sys
from .gpt_providers.openai_chat_completion import openai_chatgpt
from .gpt_providers.gemini_pro_text import gemini_text_response
from pathlib import Path
from dotenv import load_dotenv
load_dotenv(Path('../../.env'))
from ..gpt_providers.openai_chat_completion import openai_chatgpt
from ..gpt_providers.gemini_pro_text import gemini_text_response
from loguru import logger
logger.remove()
@@ -11,20 +16,33 @@ logger.add(sys.stdout,
)
def generate_blog_title(blog_article, gpt_providers="openai"):
def generate_blog_title(blog_article, keywords=None, example_titles=None, num_titles=1):
"""
Given a blog title generate an outline for it
"""
prompt = ''
gpt_providers = os.environ["GPT_PROVIDER"]
logger.info("Generating blog title.")
prompt = f"""As a SEO expert, I will provide you with a blog content.
Your task is write a SEO optimized, call to action and engaging blog title for it.
Follows SEO best practises to suggest the blog title.
Please keep the titles concise, not exceeding 60 words.
Respond with only one title and no explanations.
Important: Your response should be in plaintext.
Generate blog title for this given blog content:\n '{blog_article}' """
if 'gemini' in gpt_providers:
if not keywords and not example_titles:
prompt = f"""As a SEO expert, I will provide you with a blog content.
Your task is write a SEO optimized and call to action, blog title for given blog content.
Follow SEO best practises to suggest the blog title.
Please keep the titles concise, not exceeding 60 words.
Respond with only {num_titles} title and no explanations.
Negative Keywords: Unvieling, unleash, power of. Dont use such words in your title.
Generate {num_titles} blog title for this given blog content:\n '{blog_article}' """
elif keywords and example_titles:
prompt = f"""As a SEO expert, I will provide you with my blog keywords and example titles.
Your task is to write {num_titles} blog title.
Ensure that your blog titles will help in competing against given example titles.
Follow SEO best practises to suggest the blog title.
Please keep the titles concise, not exceeding 60 words.
Respond with only {num_titles} title and no explanations.
Negative Keywords: Unvieling, unleash, power of. Dont use such words in your title.
Blog Keywords: '{keywords}'
Example Titles: '{example_titles}'
"""
if 'google' in gpt_providers:
try:
response = gemini_text_response(prompt)
return response

15
lib/blog_metadata/get_tags.py
View File

@@ -1,8 +1,9 @@
import sys
import os
from .gpt_providers.openai_chat_completion import openai_chatgpt
from .gpt_providers.gemini_pro_text import gemini_text_response
from pathlib import Path
from dotenv import load_dotenv
load_dotenv(Path('../.env'))
from loguru import logger
logger.remove()
logger.add(sys.stdout,
@@ -10,17 +11,21 @@ logger.add(sys.stdout,
format="<level>{level}</level>|<green>{file}:{line}:{function}</green>| {message}"
)
from ..gpt_providers.openai_chat_completion import openai_chatgpt
from ..gpt_providers.gemini_pro_text import gemini_text_response
def get_blog_tags(blog_article, gpt_providers):
def get_blog_tags(blog_article):
"""
Function to suggest tags for the given blog content
"""
# Suggest at least 5 tags for the following blog post [Enter your blog post text here].
gpt_providers = os.environ["GPT_PROVIDER"]
prompt = f"""As an expert SEO and blog writer, suggest only 2 relevant and specific blog tags
for the given blog content. Only reply with comma separated values.
Blog content: {blog_article}."""
logger.info("Generating Blog tags for the given blog post.")
if 'gemini' in gpt_providers:
if 'google' in gpt_providers:
try:
response = gemini_text_response(prompt)
return response