app.py

import os
import gradio as gr
from crewai import Agent, Task, Crew, Process
from crewai_tools import SerperDevTool
from langchain_groq import ChatGroq

# Set up environment variables
os.environ["GROQ_API_KEY"] = "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"
os.environ["SERPER_API_KEY"] = "206256c6acfbcd5a46195f3312aaa7e8ed38ae5f"

# Initialize Groq LLM
groq_llm = ChatGroq(
    model_name="mixtral-8x7b-32768",
    temperature=0.7,
    max_tokens=32768
)

# Initialize search tool
search_tool = SerperDevTool()

# Define agents
researcher = Agent(
    role='Senior Research Analyst',
    goal='Uncover cutting-edge developments in AI and data science',
    backstory="""You work at a leading tech think tank.
    Your expertise lies in identifying emerging trends.
    You have a knack for dissecting complex data and presenting actionable insights.""",
    verbose=True,
    allow_delegation=False,
    llm=groq_llm,
    tools=[search_tool]
)

writer = Agent(
    role='Tech Content Strategist',
    goal='Craft compelling content on tech advancements',
    backstory="""You are a renowned Content Strategist, known for your insightful and engaging articles.
    You transform complex concepts into compelling narratives.""",
    verbose=True,
    allow_delegation=True,
    llm=groq_llm
)

def run_agents(research_topic):
    # Create tasks
    task1 = Task(
        description=f"""Conduct a comprehensive analysis of the latest advancements in {research_topic} in 2024.
        Identify key trends, breakthrough technologies, and potential industry impacts.""",
        expected_output="Full analysis report in bullet points",
        agent=researcher
    )

    task2 = Task(
        description="""Using the insights provided, develop an engaging blog
        post that highlights the most significant advancements.
        Your post should be informative yet accessible, catering to a tech-savvy audience.
        Make it sound cool, avoid complex words so it doesn't sound like AI.""",
        expected_output="Full blog post of at least 4 paragraphs",
        agent=writer
    )

    # Instantiate crew
    crew = Crew(
        agents=[researcher, writer],
        tasks=[task1, task2],
        verbose=2,
        process=Process.sequential
    )

    # Run the crew
    result = crew.kickoff()
    return result

# Define Gradio interface
iface = gr.Interface(
    fn=run_agents,
    inputs=gr.Textbox(label="Enter a research topic (e.g., 'AI', 'Machine Learning', 'Data Science')"),
    outputs=gr.Textbox(label="Results"),
    title="AI Research and Blog Post Generator",
    description="Enter a research topic to generate an analysis and blog post about recent advancements."
)

# Launch the Gradio interface
iface.launch()