initial commit

agents.py

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+from crewai import Agent
+from tools import tool
+from dotenv import load_dotenv
+load_dotenv()
+from langchain_google_genai import ChatGoogleGenerativeAI
+import os
+
+
+
+
+llm = ChatGoogleGenerativeAI(
+    model="gemini-1.5-flash",
+    verbose=True,
+    temperature=0.5,
+    google_api_key = os.getenv("GOOGLE_API_KEY"),
+    )
+
+researcher = Agent(
+    role="senior expert researcher",
+    goal="To break down broad visionary ideas into specific, actionable research topics about {topic}, identify key areas requiring in-depth investigation, and prepare report that serves as a roadmap for future goals.: {topic}",
+    verbose=True,
+    memory=True,
+    backstory=("you are a ecperienced researcher in a very prestigious research facility of the world. You have experience of over 30 years. You always have a lot of knowledge about the recent inventions and developments of various cutting edge technologies."),
+    max_iter=10,
+    tools=[tool],
+    llm=llm,
+    allow_delegation = False,
+)
+
+news_writer = Agent(
+    role='senior writer',
+    goal = "narrate compelling tech stories about {topic}. Organise the results neatly and give bullet point when possible.",
+    verbose=True,
+    memory=True,
+    backstory=("With a flair of simplifying complex topics you craft engaging narratives that captivate and educate, bringing new new discoveries and inventions to the light in an accessible manner"),
+    tools=[tool],
+    llm=llm,
+    allow_delegation = False,
+)
+
+
+
+
+
+
+
+
+
+

crew.py

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+from crewai import Crew,Process
+from tasks import research_task,write_task
+from agents import researcher,news_writer
+import streamlit as st
+## Forming the tech focused crew with some enhanced configuration
+crew=Crew(
+    agents=[researcher,news_writer],
+    tasks=[research_task,write_task],
+    process=Process.sequential,
+
+)
+
+## starting the task execution process wiht enhanced feedback
+
+
+st.title('Your Research Assistant')
+with st.sidebar:
+    st.header('Enter Research Details')
+    topic = st.text_input("Main topic of your research:")
+    #detailed_questions = st.text_area("Specific questions or subtopics you are interested in exploring:")
+
+if st.button('Run Research'):
+    if not topic :
+        st.error("Please fill all the fields.")
+    else:
+        #inputs = f"Research Topic: {topic}\nDetailed Questions: {detailed_questions}"
+        result=crew.kickoff(inputs={'topic':topic})
+        # result=crew.kickoff(inputs=inputs)
+        st.header("Results of your research project:")
+        st.markdown(result)
+
+
+#F:/anaconda_installed/Scripts/activate
+#conda activate C:\Users\parth\OneDrive\Desktop\llmProjects\YT_Agents\agentenvconda 
+

requirements.txt

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+
+crewai
+crewai_tools
+load_dotenv
+langchain_google_genai
+streamlit

tasks.py

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+from crewai import Task
+from tools import tool
+from agents import researcher,news_writer
+
+# Research task
+research_task = Task(
+  description=(
+    "Based on the topic {topic},figure out what it is that the user needs in order to figure out their problem"
+    "Make sure not to put exact same input multiple time while searching the internet.Focus on identifying pros and cons and the overall narrative."
+    "Your final report should clearly articulate the key points, recent advancements or news about {topic}."
+    # "its market opportunities, and potential risks."
+  ),
+  expected_output='A clear explanation of the principles, concepts, disciplines, and skills needed by the visionary in order to accomoplish their goal. Prepare a 2 page long report.',
+  tools=[tool],
+  agent=researcher,
+)
+
+# Writing task with language model configuration
+write_task = Task(
+  description=(
+    "Compose an insightful article on {topic}."
+    "Focus on the latest trends and how it's impacting the world."
+    "This article should be easy to understand, engaging, and positive."
+  ),
+  expected_output='An article on {topic} , 5 principles and concepts reviewed and thoroughly explaiened. At the end provide 5 internet articles titles and their URL',
+  tools=[tool],
+  agent=news_writer,
+  async_execution=False,
+  #output_file='new-blog-post.md'  # Example of output customization
+)

tools.py

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+from dotenv import load_dotenv
+load_dotenv()
+import os
+
+os.environ['SERPER_API_KEY']=os.getenv('SERPER_API_KEY')
+
+
+from crewai_tools import SerperDevTool
+
+tool=SerperDevTool()