git clone https://github.com/PrajjwalLyzr/Podcast-Series-Topics

   python3 -m venv venv
   source venv/bin/activate

   OPENAI_API_KEY = "Paste your openai api key here"

   pip install lyzr-automata streamlit python-dotenv

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

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('---')