In the digital age, Instagram has emerged as a powerful platform for individuals and businesses alike to connect with their audience. However, creating engaging content can be a daunting task. Enter Caption Studio by Lyzr.ai, an AI-powered tool designed to streamline the process of generating creative captions and images for Instagram posts.
In this article, we'll explore how Caption Studio simplifies content creation for Instagram, making it easier for users to craft catchy captions and eye-catching images.
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Setting up the Project
Let's start by setting up the project for Caption Studio:
Clone the Caption Studio app repository
git clone https://github.com/PrajjwalLyzr/Caption-Studio
Create a virtual environment and activate it
python3 -m venv venv
source venv/bin/activate
Create a .env file and add your OpenAI API key
OPENAI_API_KEY = "Paste your openai api key here"
Install the required dependencies
pip install lyzr-automata streamlit python-dotenv
Project Structure
The project structure consists of the following files:
Caption-Studio
│
│
├── app.py
│
├── README.md
│
├── .gitignore
│
└── requirements.txt
An entry point for an application ‘app.py’
Imports necessary libraries like os, PIL, streamlit, and modules from Lyzr’s automata. It also loads the OpenAI API key from environment variables. The API_KEY is retrieved using os.getenv. This key is crucial for accessing OpenAI’s services.
import os
from PIL import Image
import streamlit as st
from lyzr_automata.ai_models.openai import OpenAIModel
from lyzr_automata import Agent, Task
from lyzr_automata.tasks.task_literals import InputType, OutputType
from lyzr_automata.pipelines.linear_sync_pipeline import LinearSyncPipeline
from lyzr_automata import Logger
from dotenv import load_dotenv; load_dotenv()
API_KEY = os.getenv('OPENAI_API_KEY')
Setup the OpenAI models for Caption Studio
Initializes two instances of the OpenAIModel class, which facilitates interactions with OpenAI’s models. The first instance, open_ai_model_image, is configured to work with the DALL-E model, designed for image generation tasks. It specifies parameters such as the API key, the number of samples to generate (n), and the model name.
open_ai_model_image = OpenAIModel(
api_key=API_KEY,
parameters={
"n": 1,
"model": "dall-e-3",
},
)
open_ai_model_text = OpenAIModel(
api_key= API_KEY,
parameters={
"model": "gpt-4-turbo-preview",
"temperature": 0.5,
"max_tokens": 1500,
},
)
Kernel of Caption Studio Application
Lyzr Automata is a sophisticated multi-agent automation framework designed to keep things simple, with a focus on workflow efficiency and effectiveness. It enables the creation of multiple agents that are coupled with specific tasks.
def ig_caption_studio(input_content):
social_media_manager_agent = Agent(
prompt_persona="You are an expert social media manager good at writing a short and catchy instagram captions, as well creating the intagram images",
role="social media manager",
)
instagram_caption_task = Task(
name="Instagram Caption Creator",
agent=social_media_manager_agent,
output_type=OutputType.TEXT,
input_type=InputType.TEXT,
model=open_ai_model_text,
instructions="Use the description provided and write some set of catchy 5-7 Instagram captions in 20-30 words. Use your creativity. [IMPORTANT!] Setup the events in a detailed manner",
log_output=True,
enhance_prompt=False,
default_input=input_content
)
instagram_image_task = Task(
name="Instagram Image Creation",
output_type=OutputType.IMAGE,
input_type=InputType.TEXT,
model=open_ai_model_image,
log_output=True,
instructions="Generate an Instagram image for the given description. Capture every detail. Minimalistic style. [IMPORTANT!] Avoid any text or numbers in the image.",
)
logger = Logger()
main_output = LinearSyncPipeline(
logger=logger,
name="Caption Generator",
completion_message="IG Caption and Image Generated!",
tasks=[
instagram_caption_task,
instagram_image_task,
],
).run()
return main_output
Executing the Application
To run the Caption Studio application:
if __name__ == "__main__":
caption_brief = st.text_area("Enter about caption")
button = st.button('Submit')
if button:
generated_output = ig_caption_studio(caption_brief)
text_output = generated_output[0]['task_output']
st.write(text_output)
image_file_name = generated_output[1]['task_output'].local_file_path
st.image(image_file_name, caption='Caption Studio')
Caption Studio by Lyzr.ai revolutionizes Instagram content creation, making it easier and more efficient. With AI-powered tools like Caption Studio, users can create captivating captions and images with ease.
References
- Caption Studio GitHub Repository: GitHub
- Lyzr Website: https://www.lyzr.ai/
- Book a Demo: https://www.lyzr.ai/book-demo/
- Lyzr Community Channels: Discord, Slack
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