99 lines
3.7 KiB
Python
99 lines
3.7 KiB
Python
import sys
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import streamlit as st
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from loguru import logger
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logger.remove()
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logger.add(sys.stdout,
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colorize=True,
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format="<level>{level}</level>|<green>{file}:{line}:{function}</green>| {message}"
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)
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from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
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def blog_metadata(blog_article):
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""" Common function to get blog metadata """
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logger.info(f"Generating Content MetaData\n")
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blog_title = generate_blog_title(blog_article)
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blog_meta_desc = generate_blog_description(blog_article)
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blog_tags = get_blog_tags(blog_article)
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blog_categories = get_blog_categories(blog_article)
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return blog_title, blog_meta_desc, blog_tags, blog_categories
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def generate_blog_title(blog_article):
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"""
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Given a blog title generate an outline for it
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"""
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logger.info("Generating blog title.")
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prompt = f"""As a SEO expert, I will provide you with a blog content.
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Your task is write a SEO optimized and call to action, blog title for given blog content.
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Follow SEO best practises to suggest the blog title.
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Please keep the titles concise, not exceeding 60 words.
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Respond with only the title and no explanations.
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Negative Keywords: Unvieling, unleash, power of. Dont use such words in your title.
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\nGenerate blog title for this given blog content:\n '{blog_article}' """
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try:
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response = llm_text_gen(prompt)
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return response
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except Exception as err:
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logger.error(f"Failed to get response from LLM: {err}")
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raise err
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def generate_blog_description(blog_content):
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"""
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Prompt designed to give SEO optimized blog descripton
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"""
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logger.info("Generating Blog Meta Description for the given blog.")
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prompt = f"""As an expert SEO and blog writer, Compose a compelling meta description for the given blog content,
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adhering to SEO best practices. Keep it between 150-160 characters.
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Provide a glimpse of the content's value to entice readers.
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Respond with only one of your best effort and do not include your explanations.
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Blog Content: '{blog_content}'"""
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try:
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response = llm_text_gen(prompt)
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return response
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except Exception as err:
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logger.error(f"Failed to get response from LLM:{err}")
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raise err
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def get_blog_categories(blog_article):
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"""
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Function to generate blog categories for given blog content.
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"""
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prompt = f"""As an expert SEO and content writer, I will provide you with blog content.
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Suggest only 2 blog categories which are most relevant to provided blog content,
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by identifying the main topic. Also consider the target audience and the
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blog's category taxonomy. Only reply with comma separated values.
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The blog content is: '{blog_article}'"
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"""
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logger.info("Generating blog categories for the given blog.")
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try:
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response = llm_text_gen(prompt)
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return response
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except Exception as err:
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logger.error(f"get_blog_categories:Failed to get response from LLM: {err}")
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def get_blog_tags(blog_article):
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"""
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Function to suggest tags for the given blog content
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"""
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# Suggest at least 5 tags for the following blog post [Enter your blog post text here].
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prompt = f"""As an expert SEO and blog writer, suggest only 2 relevant and specific blog tags
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for the given blog content. Only reply with comma separated values.
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Blog content: {blog_article}."""
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logger.info("Generating Blog tags for the given blog post.")
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try:
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response = llm_text_gen(prompt)
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return response
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except Exception as err:
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logger.error(f"Failed to get response from LLM: {err}")
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raise err
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