New: AI SEO tools, OpenGraph Tags generator

This commit is contained in:
ajaysi
2024-08-09 16:17:09 +05:30
parent 4d887c87eb
commit 20bda6c964
5 changed files with 133 additions and 10 deletions

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@@ -0,0 +1,116 @@
import streamlit as st
import os
import requests
from bs4 import BeautifulSoup
from ..ai_web_researcher.firecrawl_web_crawler import scrape_url
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
def generate_og_tags(url, title_hint, description_hint, platform="General"):
"""
Generate Open Graph tags based on the provided URL, title hint, description hint, and platform.
Args:
url (str): The URL of the webpage.
title_hint (str): A hint for the title.
description_hint (str): A hint for the description.
platform (str): The platform for which to generate the tags (General, Facebook, or Twitter).
Returns:
str: The generated Open Graph tags or an error message.
"""
prompt = (
f"Generate Open Graph tags for the following page:\nURL: {url}\n"
f"Title hint: {title_hint}\nDescription hint: {description_hint}"
)
if platform == "Facebook":
prompt += "\nSpecifically for Facebook"
elif platform == "Twitter":
prompt += "\nSpecifically for Twitter"
try:
response = llm_text_gen(prompt)
return response
except Exception as err:
st.error(f"Failed to generate Open Graph tags: {err}")
return None
def extract_default_og_tags(url):
"""
Extract default Open Graph tags from the provided URL.
Args:
url (str): The URL of the webpage.
Returns:
tuple: A tuple containing the title, description, and image URL, or None in case of an error.
"""
try:
response = requests.get(url)
response.raise_for_status()
soup = BeautifulSoup(response.content, 'html.parser')
title = soup.find('title').text if soup.find('title') else None
description = soup.find('meta', attrs={'name': 'description'})['content'] if soup.find('meta', attrs={'name': 'description'}) else None
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 req_err:
st.error(f"Error fetching the URL: {req_err}")
return None, None, None
except Exception as err:
st.error(f"Error parsing the HTML content: {err}")
return None, None, None
def og_tag_generator():
"""Main function to run the Streamlit app."""
st.title("AI Open Graph Tag Generator")
platform = st.selectbox(
"**Select the platform**",
["General", "Facebook", "Twitter"],
help="Choose the platform for which you want to generate Open Graph tags."
)
url = st.text_input(
"**Enter the URL of the page to generate Opengraph tags for:**",
placeholder="e.g., https://example.com",
help="Provide the URL of the page you want to generate Open Graph tags for."
)
if url:
title, description, image_url = extract_default_og_tags(url)
# Use firecrawl to get the metadata of webpage.
#existing_metadata = scrape_url(url)
title_hint = st.text_input(
"**Modify existing title Or Suggest New One (optional):**",
value=title if title else "",
placeholder="e.g., Amazing Blog Post Title"
)
description_hint = st.text_area(
"**Modifying existing description Or Suggest New One (optional):**",
value=description if description else "",
placeholder="e.g., This is a detailed description of the content."
)
image_hint = st.text_input(
"**Use this image Or Suggest New URL (optional):**",
value=image_url if image_url else "",
placeholder="e.g., https://example.com/image.jpg"
)
if st.button("Generate Open Graph Tags"):
with st.spinner("Generating Open Graph tags..."):
og_tags = generate_og_tags(url, title_hint, description_hint, platform)
if og_tags:
st.success("Open Graph tags generated successfully!")
st.markdown(og_tags)
else:
st.error("Failed to generate Open Graph tags.")
else:
st.info("Please enter a URL to generate Open Graph tags.")

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@@ -4,8 +4,9 @@ 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
from ..ai_web_researcher.firecrawl_web_crawler import scrape_url
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
# Placeholder function for web scraping the URL (to be replaced with your mechanism)
def scrape_webpage(url):

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@@ -61,13 +61,14 @@ def scrape_url(url):
dict: The result of the URL scraping, or None if an error occurred.
"""
client = initialize_client()
params = {
'pageOptions': {
'onlyMainContent': True
}
}
#params = {
#'pageOptions': {
# 'onlyMainContent': True
# }
#}
try:
result = client.scrape_url(url, params=params)
#result = client.scrape_url(url, params=params)
result = client.scrape_url(url)
return result
except Exception as e:
logging.error(f"Error scraping URL: {e}")

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@@ -42,6 +42,7 @@ from lib.ai_seo_tools.seo_structured_data import ai_structured_data
from lib.ai_seo_tools.content_title_generator import ai_title_generator
from lib.ai_seo_tools.meta_desc_generator import metadesc_generator_main
from lib.ai_seo_tools.image_alt_text_generator import alt_text_gen
from lib.ai_seo_tools.opengraph_generator import og_tag_generator
from lib.gpt_providers.text_to_image_generation.main_generate_image_from_prompt import generate_image
from lib.content_planning_calender.content_planning_agents_alwrity_crew import ai_agents_planner
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
@@ -126,7 +127,7 @@ def ai_seo_tools():
"Generate SEO optimized Blog Titles",
"Generate Meta Description for SEO",
"Generate Image Alt Text",
"Quit"
"Generate OpenGraph Tags"
]
choice = st.selectbox("**👇Select AI SEO Tool:**", options, index=0, format_func=lambda x: f"📝 {x}")
@@ -138,6 +139,8 @@ def ai_seo_tools():
ai_title_generator()
elif choice == "Generate Image Alt Text":
alt_text_gen()
elif choice == "Generate OpenGraph Tags":
og_tag_generator()