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Content Hyper-Personalization Implementation Plan

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ajaysi
2025-09-04 13:10:12 +05:30
parent c19fc3f225
commit 6eb7baee4b
8 changed files with 1549 additions and 380 deletions
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80
ToBeMigrated/ai_writers/insta_ai_writer.py
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import time #Iwish
import os
import json
import requests
import streamlit as st
from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
def insta_writer():
# Title and description
st.title("✍️ Instagram Caption Writer")
# Input section
with st.expander("**PRO-TIP** - Read the instructions below.", expanded=True):
input_insta_keywords = st.text_input('**Enter main keywords of Your instagram caption!**')
col1, col2, space, col3, col4 = st.columns([5, 5, 0.5, 5, 5])
with col1:
input_insta_type = st.selectbox('Voice Tone', ('Neutral', 'Formal', 'Casual', 'Funny',
'Optimistic', 'Assertive', 'Friendly', 'Encouraging', 'Sarcastic'), index=0)
with col2:
input_insta_cta = st.selectbox('CTA (Call To Action)', ('Shop Now',
'Learn More', 'Swipe Up', 'Sign Up', 'Link in Bio', 'Sense of urgency'), index=0)
with col3:
input_insta_audience = st.selectbox('Choose Target Audience', ('For All',
'Age:18-24 (Gen Z)', 'Age:25-34 (Millennials)'), index=0)
with col4:
input_insta_language = st.selectbox('Choose Language', ('English', 'Hindustani',
'Chinese', 'Hindi', 'Spanish'), index=0)
# Generate Blog Title button
if st.button('**Get Instagram Captions**'):
with st.spinner():
# Clicking without providing data, really ?
if not input_insta_keywords:
st.error('** 🫣 P🫣 Provide Inputs to generate Blog Tescription. Keywords, are required!**')
elif input_insta_keywords:
insta_captions = generate_insta_captions(input_insta_keywords,
input_insta_type,
input_insta_cta,
input_insta_audience,
input_insta_language
)
if insta_captions:
st.subheader('**👩👩🔬Go Viral, with these Instagram captions!🎆🎇 🎇**')
st.markdown(insta_captions)
else:
st.error("💥**Failed to generate instagram Captions. Please try again!**")
# Function to generate blog metadesc
def generate_insta_captions(input_insta_keywords, input_insta_type, input_insta_cta, input_insta_audience, input_insta_language):
""" Function to call upon LLM to get the work done. """
# If keywords and content both are given.
if input_insta_keywords:
prompt = f"""As an instagram expert and experienced content writer,
I will provide you with my 'instagram caption keywords', along with CTA, Target Audience & voice tone.
Your task is to write 3 instagram captions.
Follow below guidelines to generate instagram captions:
1). Front-Loading: Capture attention by placing key info at the beginning of your captions.
2). Optimise your captions for {input_insta_cta} Call-to-Action (CTA).
3). Hashtag Usage: Limit yourself to four relevant hashtags per caption.
4). Brand Voice and Tone: Use and convey {input_insta_type} voice tone in your captions.
5). Optimise your captions for {input_insta_audience} target audience.
6). Emojis: Inject personality and emotion into your captions with emojis.
7). Brevity: Keep your captions concise and to the point.
8). Important: Your response should be in {input_insta_language} language.
\nInstagram caption keywords: '{input_insta_keywords}'\n
"""
try:
response = llm_text_gen(prompt)
return response
except Exception as err:
st.error(f"Exit: Failed to get response from LLM: {err}")
exit(1)