DrishtiSharma
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -5,14 +5,17 @@
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import streamlit as st
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from crewai import Agent, Task, Crew
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import os
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from
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from
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#=================
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# Add Streamlit Components
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#=================
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#
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page_bg_img = '''
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<style>
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.stApp {
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'''
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st.markdown(page_bg_img, unsafe_allow_html=True)
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#
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st.title("AI Business Consultant")
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# logo
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image_url = "https://cdn-icons-png.flaticon.com/512/1998/1998614.png"
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st.sidebar.image(image_url, caption="", use_column_width=True)
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st.sidebar.write(
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#
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business = st.text_input('Enter The Required Business Search Area')
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stakeholder = st.text_input('Enter The Stakeholder Team')
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#=================
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# LLM
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#=================
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llm = ChatGroq(groq_api_key=os.getenv("GROQ_API_KEY"), model_name="llama-3.2-90b-text-preview")
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#=================
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# Crew Agents
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#=================
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planner = Agent(
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role="Business Consultant",
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goal=
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backstory=
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"the Business Writer to deliver good insights.",
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allow_delegation=False,
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llm
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)
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writer = Agent(
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role="Business Writer",
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goal=
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"the Business Consultant, who provides an outline "
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"and relevant context about the : {topic}. "
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"and also the data analyst who will provide you with necessary analysis about the : {topic} "
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"You follow the main objectives and "
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"direction of the outline, "
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"as provided by the Business Consultant. "
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"You also provide objective and impartial insights "
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"and back them up with information "
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"provided by the Business Consultant."
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"design your document in a professional way to be presented to : {stakeholder}."
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,
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allow_delegation=False,
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verbose=True,
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llm=llm
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)
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analyst = Agent(
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role="Data Analyst",
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goal=
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backstory=
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"and relevant context about the : {topic}. "
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"You follow the main objectives and "
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"direction of the outline, "
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"as provided by the Business Consultant. "
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"You also provide comprehensive statistical analysis with numbers to the Business Writer "
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"and back them up with information "
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"provided by the Business Consultant.",
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allow_delegation=False,
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verbose=True,
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llm=llm
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plan = Task(
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description=(
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"1.
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"
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"
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"dealing with International operators.\n"
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"5. Limit the document to only 500 words"
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),
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expected_output="A comprehensive
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agent=planner,
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# tools = [tool]
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)
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write = Task(
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description=(
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"1. Use the
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"3. Proofread for grammatical errors and "
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"alignment with the brand's voice.\n"
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"3. Limit the document to only 200 words "
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"4. Use impressive images and charts to reinforce your insights "
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),
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expected_output="A
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"providing insights for {stakeholder} ",
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agent=writer
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)
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analyse = Task(
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description=(
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"1.
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"to align on the best analysis to be provided about {topic}.\n"
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),
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expected_output="A clear comprehensive data analysis "
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"providing insights and statistics with numbers to the Business Writer ",
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agent=analyst
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)
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#=================
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# Execution
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#=================
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crew = Crew(
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agents=[planner, analyst, writer],
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tasks=[plan, analyse, write],
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verbose=
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)
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import streamlit as st
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from crewai import Agent, Task, Crew
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import os
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from langchain_groq import ChatGroq
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from fpdf import FPDF
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import pandas as pd
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import plotly.express as px
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import time
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#=================
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# Add Streamlit Components
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#=================
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# Background
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page_bg_img = '''
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<style>
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.stApp {
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'''
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st.markdown(page_bg_img, unsafe_allow_html=True)
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# Title and Sidebar
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st.title("AI Business Consultant")
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image_url = "https://cdn-icons-png.flaticon.com/512/1998/1998614.png"
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st.sidebar.image(image_url, caption="", use_column_width=True)
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st.sidebar.write(
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"This AI Business Consultant is built using an AI Multi-Agent system. "
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"It provides business insights, statistical analysis, and professional recommendations!"
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)
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# User Inputs
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business = st.text_input('Enter The Required Business Search Area', value="Artificial Intelligence")
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stakeholder = st.text_input('Enter The Stakeholder Team', value="Executives")
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# Optional Customization
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enable_customization = st.sidebar.checkbox("Enable Advanced Agent Customization")
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if enable_customization:
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st.sidebar.markdown("### Customize Agent Goals")
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planner_goal = st.sidebar.text_area(
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"Planner Goal",
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value="Plan engaging and factually accurate content about the topic."
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)
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writer_goal = st.sidebar.text_area(
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"Writer Goal",
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value="Write insightful and engaging content based on the topic."
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)
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analyst_goal = st.sidebar.text_area(
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"Analyst Goal",
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value="Perform statistical analysis to extract actionable insights."
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)
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else:
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planner_goal = "Plan engaging and factually accurate content about the topic."
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writer_goal = "Write insightful and engaging content based on the topic."
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analyst_goal = "Perform statistical analysis to extract actionable insights."
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#=================
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# LLM Object and API Key
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#=================
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llm = ChatGroq(groq_api_key=os.getenv("GROQ_API_KEY"), model_name="llama-3.2-90b-text-preview")
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#=================
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# Crew Agents
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#=================
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planner = Agent(
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role="Business Consultant",
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goal=planner_goal,
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backstory=(
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"You're tasked with providing insights about {topic} to the stakeholder: {stakeholder}. "
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"Your work will form the foundation for the Business Writer and Data Analyst."
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),
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allow_delegation=False,
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verbose=True,
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llm=llm
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)
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writer = Agent(
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role="Business Writer",
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goal=writer_goal,
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backstory=(
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"You will write a professional insights document about {topic}, "
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"based on the Business Consultant's plan and the Data Analyst's results."
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),
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allow_delegation=False,
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verbose=True,
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llm=llm
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)
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analyst = Agent(
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role="Data Analyst",
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goal=analyst_goal,
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backstory=(
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"You will perform statistical analysis on {topic}, based on the Business Consultant's plan. "
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"Your analysis will support the Business Writer's final document for {stakeholder}."
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),
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allow_delegation=False,
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verbose=True,
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llm=llm
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plan = Task(
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description=(
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"1. Research trends, key players, and noteworthy news for {topic}.\n"
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"2. Provide structured insights and actionable recommendations.\n"
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"3. Suggest strategies for dealing with international operators.\n"
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"4. Limit content to 500 words."
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),
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expected_output="A comprehensive consultancy document with insights and recommendations.",
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agent=planner
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)
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write = Task(
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description=(
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"1. Use the Business Consultant's plan to write a professional document for {topic}.\n"
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"2. Structure the content with engaging sections and visuals.\n"
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"3. Ensure alignment with the stakeholder's goals.\n"
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"4. Limit the document to 200 words."
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),
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expected_output="A professional document tailored for {stakeholder}.",
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agent=writer
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)
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analyse = Task(
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description=(
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"1. Perform statistical analysis to provide actionable insights for {topic}.\n"
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"2. Collaborate with the Business Consultant and Writer to align on key metrics.\n"
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"3. Present findings in a format suitable for inclusion in the final document."
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),
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expected_output="A data-driven analysis tailored for {stakeholder}.",
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agent=analyst
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)
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#=================
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# Execution
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#=================
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crew = Crew(
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agents=[planner, analyst, writer],
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tasks=[plan, analyse, write],
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verbose=True
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)
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def generate_pdf_report(result):
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"""Generate a professional PDF report from the Crew output."""
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pdf = FPDF()
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pdf.add_page()
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pdf.set_font("Arial", size=12)
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pdf.set_auto_page_break(auto=True, margin=15)
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# Title
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pdf.set_font("Arial", size=16, style="B")
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pdf.cell(200, 10, txt="AI Business Consultant Report", ln=True, align="C")
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pdf.ln(10)
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# Content
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pdf.set_font("Arial", size=12)
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pdf.multi_cell(0, 10, txt=result)
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# Save PDF
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report_path = "Business_Insights_Report.pdf"
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pdf.output(report_path)
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return report_path
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if st.button("Run Analysis"):
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with st.spinner('Executing analysis...'):
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try:
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start_time = time.time()
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result = crew.kickoff(inputs={"topic": business, "stakeholder": stakeholder})
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execution_time = time.time() - start_time
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# Display Results
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st.markdown("### Insights and Analysis")
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st.write(result)
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# Display Execution Time
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st.success(f"Analysis completed in {execution_time:.2f} seconds!")
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# Visualization Example
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st.markdown("### Data Visualization Example")
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data = pd.DataFrame({
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"Metric": ["Trend 1", "Trend 2", "Trend 3"],
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"Value": [45, 80, 65]
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})
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fig = px.bar(data, x="Metric", y="Value", title="Sample Metrics for Analysis")
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st.plotly_chart(fig)
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# Generate and Provide PDF Report
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report_path = generate_pdf_report(result)
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with open(report_path, "rb") as file:
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st.download_button(
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label="Download Report as PDF",
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data=file,
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file_name="Business_Insights_Report.pdf",
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mime="application/pdf"
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)
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except Exception as e:
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st.error(f"An error occurred during execution: {e}")
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