In today's digital age, podcasts have emerged as a powerful medium for sharing knowledge, stories, and insights across various industries. However, creating engaging podcast content that resonates with your audience can be a daunting task. Lyzr.ai Automata's Podcast Series Generator – an innovative tool designed to streamline the process of generating tailored podcast series topics based on industry-specific themes and target audience preferences. In this article, we'll explore how this cutting-edge application harnesses advanced AI technology to revolutionize podcast content creation.
Lyzr
Lyzr offers an agent-centric approach to rapidly developing LLM (Large Language Model) applications with minimal code and time investment. Even if you’re unfamiliar with the GenAI stack, Lyzr empowers you to build your AI applications effortlessly. It is the go-to solution for constructing GenAI apps without requiring an in-depth understanding of Generative AI.
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Setting up the Project
Setting up the Podcast Series Generator project is straightforward. Follow these steps to get started:
Clone the App: Clone the Podcast Series Generator app repository from GitHub.
git clone https://github.com/PrajjwalLyzr/Podcast-Series-Topics
Create a Virtual Environment: Set up a virtual environment and activate it.
python3 -m venv venv
source venv/bin/activate
Set Environment Variables: Create a .env file and add your OpenAI API key.
OPENAI_API_KEY = "Paste your openai api key here"
Install Dependencies: Install the required dependencies.
pip install lyzr-automata streamlit python-dotenv
Core Components of the Podcast Series Generator App
Let's delve into the key components of Lyzr's Podcast Series Generator app:
import os
import streamlit as st
from lyzr_automata.ai_models.openai import OpenAIModel
from lyzr_automata import Agent, Task, Logger
from lyzr_automata.tasks.task_literals import InputType, OutputType
from lyzr_automata.pipelines.linear_sync_pipeline import LinearSyncPipeline
from dotenv import load_dotenv
load_dotenv()
API_KEY = os.getenv('OPENAI_API_KEY')
open_ai_model_text = OpenAIModel(
api_key= API_KEY,
parameters={
"model": "gpt-4-turbo-preview",
"temperature": 0.5,
"max_tokens": 1500,
},
)
def podcast_series(industry, target_audience):
content_strategist = Agent(
prompt_persona="""You are a Content Strategist expert who craft a compelling podcast series tailored to our industry and target audience. Your mission is to delve deep into the nuances of our industry landscape and understand the interests and preferences of our target audience. Drawing upon your expertise in content analysis and audience research, you'll propose 10 engaging podcast topics that resonate with our audience's interests, challenges, and aspirations.""",
role="Content Strategist",
)
podcast_topics_generator = Task(
name="Podcast Generator",
agent=content_strategist,
output_type=OutputType.TEXT,
input_type=InputType.TEXT,
model=open_ai_model_text,
instructions=f"Use the description provided, Based on the {industry} and {target_audience}, suggest 5 episodes of 3 engaging topic for a podcast series. [IMPORTANT!] Setup the events in a detailed manner",
log_output=True,
enhance_prompt=False,
default_input=industry
)
logger = Logger()
main_output = LinearSyncPipeline(
logger=logger,
name="Podcast Series Topics",
completion_message="App Generated all things!",
tasks=[
podcast_topics_generator,
],
).run()
return main_output
Initializing the Application
The entry point of the Podcast Series Generator application prompts the user to input the industry and target audience for the podcast series through text input and text area components, respectively. Upon clicking the "Submit" button, it triggers the podcast_series function, passing the provided industry and target audience inputs.
if __name__ == "__main__":
industry = st.text_input("Write down the industry")
audience = st.text_area('Targeted Audience')
button=st.button('Submit')
if (button==True):
generated_output = podcast_series(industry=industry, target_audience=audience)
title_output = generated_output[0]['task_output']
st.write(title_output)
st.markdown('---')
The podcast_series function then generates a content roadmap based on the inputs, proposing 5 episodes, each containing 3 engaging podcast topics, tailored to the specified industry and target audience.
Conclusion
Lyzr's Podcast Series Generator, crafting engaging podcast content has never been easier. Empower your content strategy with AI-driven insights and generate compelling podcast topics that resonate with your audience's interests and aspirations. Revolutionize your podcasting journey today with Lyzr.ai Automata.
References
- Podcast Series Generator GitHub Repository
- Lyzr Website
- Book a Demo
- Lyzr Community Channels: Discord, Slack
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