app.py

import os
import gradio as gr
from crewai import Agent, Task, Crew
from langchain_google_genai import ChatGoogleGenerativeAI
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# Initialize Gemini model
gemini_llm = ChatGoogleGenerativeAI(
    model="gemini-pro",
    temperature=0.3,
    google_api_key=os.getenv("GOOGLE_API_KEY")
)

def summarize_text(content):
    """Generate summary using CrewAI agents"""
    # Define summarizer agent (VERBOSE SET TO BOOLEAN)
    summarizer = Agent(
        role='Expert Summarizer',
        goal='Create concise, accurate summaries of text content',
        backstory="""A highly skilled AI assistant specialized in text condensation and 
        information extraction. Known for preserving key insights while eliminating 
        unnecessary details.""",
        llm=gemini_llm,
        verbose=True  # CHANGED TO BOOLEAN
    )
    
    # Create summarization task
    summarize_task = Task(
        description=f"Summarize this text while preserving key information:\n\n{content}",
        agent=summarizer,
        expected_output="A concise paragraph summary (3-5 sentences) capturing main points"
    )
    
    # Form and execute the crew (VERBOSE SET TO BOOLEAN)
    text_crew = Crew(
        agents=[summarizer],
        tasks=[summarize_task],
        verbose=True  # CHANGED TO BOOLEAN
    )
    
    return text_crew.kickoff()

# Gradio interface
with gr.Blocks(theme=gr.themes.Soft()) as demo:
    gr.Markdown("# ✨ Text Summarizer")
    gr.Markdown("Paste any text below to generate a concise summary")
    
    with gr.Row():
        text_input = gr.Textbox(
            label="Input Text", 
            lines=8,
            placeholder="Paste your content here..."
        )
        
    with gr.Row():
        summary_output = gr.Textbox(
            label="Summary", 
            lines=5,
            interactive=False
        )
    
    submit_btn = gr.Button("Generate Summary", variant="primary")
    
    # Connect components
    submit_btn.click(
        fn=summarize_text,
        inputs=text_input,
        outputs=summary_output
    )
    
    # Add clear button
    clear_btn = gr.Button("Clear")
    clear_btn.click(
        fn=lambda: ["", ""],
        inputs=[],
        outputs=[text_input, summary_output]
    )

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