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Create app.py
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app.py
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import streamlit as st
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from crewai import Crew, Agent, Process
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from tools import tool
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from dotenv import load_dotenv
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import os
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# Load environment variables
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load_dotenv()
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# Initialize Google Generative AI model
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from langchain_google_genai import ChatGoogleGenerativeAI
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llm = ChatGoogleGenerativeAI(
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model="gemini-1.5-flash",
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verbose=True,
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temperature=0.5,
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google_api_key= "AIzaSyDy02GtpV6-VcdeCZNLJT-c4kWuPxBRbrI"
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)
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# Define agents
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news_researcher = Agent(
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role="Senior Researcher",
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goal='Uncover groundbreaking technologies in {topic}',
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verbose=True,
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memory=True,
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backstory=(
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"Driven by curiosity, you're at the forefront of"
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"innovation, eager to explore and share knowledge that could change"
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"the world."
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),
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tools=[tool],
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llm=llm,
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allow_delegation=True
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)
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news_writer = Agent(
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role='Writer',
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goal='Narrate compelling tech stories about {topic}',
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verbose=True,
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memory=True,
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backstory=(
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"With a flair for simplifying complex topics, you craft"
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"engaging narratives that captivate and educate, bringing new"
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"discoveries to light in an accessible manner."
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),
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tools=[tool],
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llm=llm,
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allow_delegation=False
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)
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# Define tasks
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research_task = Task(
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description=(
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"Identify the next big trend in {topic}."
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"Focus on identifying pros and cons and the overall narrative."
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"Your final report should clearly articulate the key points,"
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"its market opportunities, and potential risks."
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),
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expected_output='A comprehensive 3 paragraphs long report on the latest AI trends.',
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tools=[tool],
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agent=news_researcher,
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)
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write_task = Task(
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description=(
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"Compose an insightful article on {topic}."
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"Focus on the latest trends and how it's impacting the industry."
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"This article should be easy to understand, engaging, and positive."
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),
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expected_output='A 4 paragraph article on {topic} advancements formatted as markdown.',
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tools=[tool],
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agent=news_writer,
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async_execution=False,
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output_file='new-blog-post.md' # Example of output customization
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)
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# Define Crew
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crew = Crew(
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agents=[news_researcher, news_writer],
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tasks=[research_task, write_task],
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process=Process.sequential,
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)
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# Streamlit UI
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st.set_page_config(
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page_title="Tech Research and Writing",
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page_icon="🔬",
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layout="wide",
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menu_items={"About": "# Made by Prathamesh Khade"}
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)
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st.title("Tech Research and Writing")
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topic = st.text_input("Enter a topic to research and write about:")
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if st.button("Start Task"):
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if topic:
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result = crew.kickoff(inputs={'topic': topic})
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st.write("Task Results:")
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st.write(result)
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else:
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st.error("Please enter a topic.")
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