Create app.py

app.py

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