app.py

import gradio as gr
from crewai import Agent, Task, Crew

# Define Agents
researcher = Agent(
    role="Senior Research Specialist",
    goal="Uncover intricate insights into the given topic",
    backstory="A seasoned expert in extracting valuable information and providing detailed analysis on any given subject.",
    allow_delegation=False
)

writer = Agent(
    role="Content Writer",
    goal="Craft engaging and informative articles",
    backstory="An experienced content writer who can turn complex research into easy-to-understand and engaging articles.",
    allow_delegation=False
)

editor = Agent(
    role="Content Editor",
    goal="Ensure articles are polished, coherent, and engaging",
    backstory="An expert editor with a sharp eye for clarity, grammar, and flow, capable of turning drafts into publication-ready articles.",
    allow_delegation=False
)

# Function to setup tasks and run CrewAI
def run_crewai_article_writer(topic):
    research_task = Task(
        description=f"Conduct in-depth research on the topic: {topic} and provide a structured summary.",
        expected_output="A structured and detailed research summary covering important aspects, recent developments, and insights related to the topic.",
        agent=researcher
    )

    writing_task = Task(
        description=f"Using the research, write a full-length article on the topic: {topic} in 1000 words with various subsections.",
        expected_output="An engaging, detailed, informative, and coherent article suitable for online publication.",
        agent=writer
    )

    editing_task = Task(
        description=f"Review and edit the article on {topic} for clarity, grammar, flow, and engagement.",
        expected_output="A polished, clear, and professionally edited final version of the article.",
        agent=editor
    )

    crew = Crew(
        agents=[researcher, writer, editor],
        tasks=[research_task, writing_task, editing_task],
        verbose=True
    )

    return crew.kickoff()

# Gradio Interface
def generate_article(topic):
    return run_crewai_article_writer(topic)

iface = gr.Interface(
    fn=generate_article,
    inputs=gr.Textbox(lines=2, placeholder="Enter a topic for the article..."),
    outputs=gr.Textbox(lines=25, label="Generated Article"),
    title="🧠 CrewAI Article Generator",
    description="Powered by CrewAI: Research, Write, and Edit a high-quality article from a single topic prompt."
)

if __name__ == "__main__":
    iface.launch()