32 lines
1.3 KiB
Python
32 lines
1.3 KiB
Python
from .gpt_providers.openai_chat_completion import openai_chatgpt
|
|
import google.generativeai as genai
|
|
|
|
|
|
def generate_blog_description(blog_content, gpt_providers):
|
|
"""
|
|
Prompt designed to give SEO optimized blog descripton
|
|
"""
|
|
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.
|
|
Provide a glimpse of the content's value to entice readers.
|
|
Respond with only one of your best effort and do not include your explanations.
|
|
Blog Content: {blog_content}"""
|
|
if 'gemini' in gpt_providers:
|
|
try:
|
|
genai.configure(api_key=os.getenv('GEMINI_API_KEY'))
|
|
except Exception as err:
|
|
logger.error("Failed in getting GEMINI_API_KEY")
|
|
# Use gemini-pro model for text and image.
|
|
model = genai.GenerativeModel('gemini-pro')
|
|
try:
|
|
response = model.generate_content(prompt)
|
|
return response.text
|
|
except Exception as err:
|
|
logger.error("Failed to get response from gemini.")
|
|
elif 'openai' in gpt_providers:
|
|
try:
|
|
response = openai_chatgpt(prompt)
|
|
return response
|
|
except Exception as err:
|
|
SystemError(f"Error in generating blog summary: {err}")
|