kunthawat/ALwrity
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

New: AI SEO tools, Rich snippet, AI product description

Browse Source
This commit is contained in:
ajaysi
2024-07-21 16:09:59 +05:30
parent 8ab8d22fb1
commit f204219edb
10 changed files with 444 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
lib/ai_seo_tools/TBD
View File

@@ -1 +1,7 @@
https://pypi.org/project/textstat/
https://github.com/greghub/website-launch-checklist
https://github.com/marcobiedermann/search-engine-optimization
https://developers.google.com/speed/docs/insights/v5/get-started
https://developers.google.com/search/apis/indexing-api/v3/prereqs
https://developer.chrome.com/docs/lighthouse/overview/#cli

127
lib/ai_seo_tools/content_title_generator.py Normal file
View File

@@ -0,0 +1,127 @@
import time #Iwish
import os
import json
import streamlit as st
from tenacity import (
retry,
stop_after_attempt,
wait_random_exponential,
)
import google.generativeai as genai
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
def ai_title_generator():
""" Use AI to personalize content title generation """
st.title("✍️ Alwrity - AI Blog Title Generator")
# Input section
with st.expander("**PRO-TIP** - Follow the steps below for best results.", expanded=True):
col1, col2 = st.columns([5, 5])
with col1:
input_blog_keywords = st.text_input(
'**🔑 Enter main keywords of your blog!**',
placeholder="e.g., AI tools, digital marketing, SEO",
help="Use 2-3 words that best describe the main topic of your blog."
)
input_blog_content = st.text_area(
'**📄 Copy/Paste your entire blog content.** (Optional)',
placeholder="e.g., Content about the importance of AI in digital marketing...",
help="Paste your full blog content here for more accurate title suggestions. This is optional."
)
with col2:
input_title_type = st.selectbox(
'📝 Blog Type',
('General', 'How-to Guides', 'Tutorials', 'Listicles', 'Newsworthy Posts', 'FAQs', 'Checklists/Cheat Sheets'),
index=0
)
input_title_intent = st.selectbox(
'🔍 Search Intent',
('Informational Intent', 'Commercial Intent', 'Transactional Intent', 'Navigational Intent'),
index=0
)
language_options = ["English", "Spanish", "French", "German", "Chinese", "Japanese", "Other"]
input_language = st.selectbox(
'🌐 Select Language',
options=language_options,
index=0,
help="Choose the language for your blog title."
)
if input_language == "Other":
input_language = st.text_input(
'Specify Language',
placeholder="e.g., Italian, Dutch",
help="Specify your preferred language."
)
# Generate Blog Title button
if st.button('**Generate Blog Titles**'):
with st.spinner("Generating blog titles..."):
if input_blog_content == 'Optional':
input_blog_content = None
if not input_blog_keywords and not input_blog_content:
st.error('**🫣 Provide Inputs to generate Blog Titles. Either Blog Keywords OR content is required!**')
else:
blog_titles = generate_blog_titles(input_blog_keywords, input_blog_content, input_title_type, input_title_intent, input_language)
if blog_titles:
st.subheader('**👩🧕🔬 Go Rule search ranking with these Blog Titles!**')
with st.expander("**Final - Blog Titles Output 🎆🎇🎇**", expanded=True):
st.markdown(blog_titles)
else:
st.error("💥 **Failed to generate blog titles. Please try again!**")
# Function to generate blog metadesc
def generate_blog_titles(input_blog_keywords, input_blog_content, input_title_type, input_title_intent, input_language):
""" Function to call upon LLM to get the work done. """
# If keywords and content both are given.
if input_blog_content and input_blog_keywords:
prompt = f"""As a SEO expert, I will provide you with main 'blog keywords' and 'blog content'.
Your task is write 5 SEO optimised blog titles, from given blog keywords and content.
Follow the below guidelines for generating the blog titles:
1). As SEO expert, follow all best practises for SEO optimised blog titles.
2). Your response should be optimised around given keywords and content.
3). Optimise your response for web search intent {input_title_intent}.
4). Optimise your response for blog type of {input_title_type}.
5). Your blog titles should in {input_language} language.\n
blog keywords: '{input_blog_keywords}'\n
blog content: '{input_blog_content}'
"""
elif input_blog_keywords and not input_blog_content:
prompt = f"""As a SEO expert, I will provide you with main 'keywords' of a blog.
Your task is write 5 SEO optimised blog titles from given blog keywords.
Follow the below guidelines for generating the blog titles:
1). As SEO expert, follow all best practises for SEO optimised blog titles.
2). Your response should be optimised around given keywords and content.
3). Optimise your response for web search intent {input_title_intent}.
4). Optimise your response for blog type of {input_title_type}.
5). Your blog titles should in {input_language} language.\n
blog keywords: '{input_blog_keywords}'\n
"""
elif input_blog_content and not input_blog_keywords:
prompt = f"""As a SEO expert, I will provide you with a 'blog content'.
Your task is write 5 SEO optimised blog titles from given blog content.
Follow the below guidelines for generating the blog titles:
1). As SEO expert, follow all best practises for SEO optimised blog titles.
2). Your response should be optimised around given keywords and content.
3). Optimise your response for web search intent {input_title_intent}.
4). Optimise your response for blog type of {input_title_type}.
5). Your blog titles should in {input_language} language.\n
blog content: '{input_blog_content}'\n
"""
try:
response = llm_text_gen(prompt)
return response
except Exception as err:
st.error(f"Exit: Failed to get response from LLM: {err}")

84
lib/ai_seo_tools/meta_desc_generator.py Normal file
View File

@@ -0,0 +1,84 @@
import time #Iwish
import os
import json
import streamlit as st
from tenacity import (
retry,
stop_after_attempt,
wait_random_exponential,
)
import google.generativeai as genai
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
def metadesc_generator_main():
# Title and description
st.title("✍️ Alwrity - AI Blog Meta Description Generator")
# Input section
with st.expander("**PRO-TIP** - Read the instructions below. 🚀", expanded=True):
col1, col2, space = st.columns([5, 5, 0.5])
with col1:
keywords = st.text_input("🔑 Target Keywords (comma-separated):",
placeholder="e.g., content marketing, SEO, social media, online business",
help="Enter your target keywords, separated by commas. 📝")
tone_options = ["Informative", "Engaging", "Humorous", "Intriguing", "Playful"]
tone = st.selectbox("🎨 Desired Tone (optional):",
options=["General"] + tone_options,
help="Choose the overall tone you want for your meta description. 🎭")
with col2:
search_type = st.selectbox('🔍 Search Intent:',
('Informational Intent', 'Commercial Intent', 'Transactional Intent', 'Navigational Intent'),
index=0)
language_options = ["English", "Spanish", "French", "German", "Other"]
language_choice = st.selectbox("🌐 Preferred Language:",
options=language_options,
help="Select the language for your meta description. 🗣️")
if language_choice == "Other":
language = st.text_input("Specify Other Language:",
placeholder="e.g., Italian, Chinese",
help="Enter your preferred language. 🌍")
else:
language = language_choice
# Generate Blog Title button
if st.button('**✨ Generate Meta Description ✨**'):
with st.spinner("Crafting your Meta descriptions... ⏳"):
# Validate input fields
if not keywords:
st.error('**🫣 Blog Keywords are required!**')
else:
blog_metadesc = generate_blog_metadesc(keywords, tone, search_type, language)
if blog_metadesc:
st.subheader('**🎉 Your SEO-Boosting Blog Meta Descriptions! 🚀**')
with st.expander("**Final - Blog Meta Description Output 🎆🎇**", expanded=True):
st.markdown(blog_metadesc)
else:
st.error("💥 **Failed to generate blog meta description. Please try again!**")
# Function to generate blog metadesc
def generate_blog_metadesc(keywords, tone, search_type, language):
""" Function to call upon LLM to get the work done. """
prompt = f"""
Craft 3 engaging and SEO-friendly meta descriptions for a blog post based on the following details:
Blog Post Keywords: {keywords}
Search Intent Type: {search_type}
Desired Tone: {tone}
Preferred Language: {language}
Output Format:
Respond with 3 compelling and concise meta descriptions, approximately 155-160 characters long, that incorporate the target keywords, reflect the blog post content, resonate with the target audience, and entice users to click through to read the full article.
"""
with st.spinner("Calling Gemini to craft 3 Meta descriptions for you... 💫"):
try:
response = llm_text_gen(prompt)
return response
except Exception as err:
st.error(f"Exit: Failed to get response from LLM: {err}")

115
lib/ai_seo_tools/twitter_opengraph_generator.py Normal file
View File

@@ -0,0 +1,115 @@
import streamlit as st
import openai
from bs4 import BeautifulSoup
import requests
import os
# Set up OpenAI API key
openai.api_key = os.getenv('OPENAI_API_KEY') # Assuming you have it in a .env file
# Placeholder function for web scraping the URL (to be replaced with your mechanism)
def scrape_webpage(url):
try:
response = requests.get(url)
response.raise_for_status() # Raise an exception for bad status codes
soup = BeautifulSoup(response.content, 'html.parser')
# Extract the title
title = soup.find('title').text.strip() if soup.find('title') else None
# Extract the description
description = soup.find('meta', attrs={'name': 'description'})['content'] if soup.find('meta', attrs={'name': 'description'}) else None
# Extract the image URL
image_url = soup.find('meta', attrs={'property': 'og:image'})['content'] if soup.find('meta', attrs={'property': 'og:image'}) else None
return title, description, image_url
except requests.exceptions.RequestException as e:
st.error(f"An error occurred while scraping the webpage: {e}")
return None, None, None
# Function to generate OpenGraph meta tags
def generate_opengraph_meta_tags(url, html_content=None, title=None, description=None, image_url=None):
ai_prompt = f"""
Generate OpenGraph meta tags for a Twitter Card for the following webpage: {url}
Here is the HTML content of the page:
```html
{html_content}
```
Optional Customizations:
* Title: {title if title else "Infer from the page content"}
* Description: {description if description else "Infer from the page content"}
* Image URL: {image_url if image_url else "Infer from the page content"}
Best practices:
- Title: Should be concise and informative.
- Description: Provide a brief summary of the content.
- Image URL: Use a high-quality image.
- URL: Ensure the URL is correct.
- Type: Specify the content type (e.g., article, website).
- Site Name: Provide the name of the site.
Output the generated OpenGraph meta tags as a series of HTML meta tags in the following format:
<meta property="og:title" content="Extracted or provided title" />
<meta property="og:description" content="Extracted or provided description" />
<meta property="og:image" content="Extracted or provided image URL" />
<meta property="og:url" content="{url}" />
<meta property="og:type" content="Infer from the URL" />
<meta property="og:site_name" content="Extract site name from the URL" />
"""
response = openai.Completion.create(
engine="text-davinci-003",
prompt=ai_prompt,
max_tokens=150
)
return response.choices[0].text.strip()
# Function to display the Streamlit UI
def display_ui():
st.title('OpenGraph Meta Tags Generator for Twitter 🐦')
st.write('Generate OpenGraph meta tags for Twitter cards with ease. Just provide a URL and let our tool do the rest!')
# User inputs
url = st.text_input('Content URL', help="🔗 Paste the URL of the page you want to share on Twitter.", placeholder="e.g., https://example.com")
title = st.text_input('Title (optional)', help="📝 Optionally, provide a custom title for your Twitter card.", placeholder="e.g., Amazing Blog Post")
description = st.text_area('Description (optional)', help="✍️ Optionally, provide a custom description for your Twitter card.", placeholder="e.g., This blog post covers...")
image_url = st.text_input('Image URL (optional)', help="📸 Optionally, provide a URL to an image for your Twitter card.", placeholder="e.g., https://example.com/image.jpg")
if st.button('Generate Meta Tags'):
if url:
# Scrape the webpage for missing information if not provided
if not title or not description or not image_url:
scraped_title, scraped_description, scraped_image_url = scrape_webpage(url)
title = title or scraped_title
description = description or scraped_description
image_url = image_url or scraped_image_url
# Fetch HTML content
html_content = requests.get(url).text
# Generate OpenGraph meta tags
meta_tags = generate_opengraph_meta_tags(url, html_content=html_content, title=title, description=description, image_url=image_url)
st.subheader('Generated OpenGraph Meta Tags')
st.code(meta_tags, language='html')
else:
st.error('Please provide a content URL.')
# Instructions and preview
st.write('### Instructions')
st.write('1. Enter the URL of the content you want to share on Twitter.')
st.write('2. Optionally, provide a custom title, description, and image URL.')
st.write('3. Click "Generate Meta Tags" to see the generated OpenGraph meta tags.')
st.write('### Preview')
st.write('A preview of how the Twitter card will look with the generated meta tags will be shown here (Feature to be implemented).')
# Run the Streamlit UI
if __name__ == '__main__':
display_ui()