Update app.py

app.py

@@ -5,17 +5,14 @@
 import streamlit as st
 from crewai import Agent, Task, Crew
 import os
+from langchain_cohere import ChatCohere
 from langchain_groq import ChatGroq 
-from fpdf import FPDF
-import pandas as pd
-import plotly.express as px
-import time
 
 #=================
 # Add Streamlit Components
 #=================
 
-# Background
+# background
 page_bg_img = '''
 <style>
 .stApp  {
@@ -26,81 +23,80 @@ background-size: cover;
 '''
 st.markdown(page_bg_img, unsafe_allow_html=True)
 
-# Title and Sidebar
+# title
 st.title("AI Business Consultant")
 
+# logo
 image_url = "https://cdn-icons-png.flaticon.com/512/1998/1998614.png"
 st.sidebar.image(image_url, caption="", use_column_width=True)
-st.sidebar.write(
-    "This AI Business Consultant is built using an AI Multi-Agent system. "
-    "It provides business insights, statistical analysis, and professional recommendations!"
-)
+st.sidebar.write(" This AI Business Consultant is built using AI Multi-Agent system. It can give you business insights, statistical analysis and up-to-date information about any business topic. This AI Multi-Agent Business Consultant delivers knowledge on demand and for FREE!")
 
-# User Inputs
-business = st.text_input('Enter The Required Business Search Area', value="Artificial Intelligence")
-stakeholder = st.text_input('Enter The Stakeholder Team', value="Executives")
-
-# Optional Customization
-enable_customization = st.sidebar.checkbox("Enable Advanced Agent Customization")
-if enable_customization:
-    st.sidebar.markdown("### Customize Agent Goals")
-    planner_goal = st.sidebar.text_area(
-        "Planner Goal",
-        value="Plan engaging and factually accurate content about the topic."
-    )
-    writer_goal = st.sidebar.text_area(
-        "Writer Goal",
-        value="Write insightful and engaging content based on the topic."
-    )
-    analyst_goal = st.sidebar.text_area(
-        "Analyst Goal",
-        value="Perform statistical analysis to extract actionable insights."
-    )
-else:
-    planner_goal = "Plan engaging and factually accurate content about the topic."
-    writer_goal = "Write insightful and engaging content based on the topic."
-    analyst_goal = "Perform statistical analysis to extract actionable insights."
+# text inputs
+business = st.text_input('Enter The Required Business Search Area')
+stakeholder = st.text_input('Enter The Stakeholder Team')
 
 #=================
-# LLM Object and API Key
+# LLM object and API Key
 #=================
 llm = ChatGroq(groq_api_key=os.getenv("GROQ_API_KEY"), model_name="llama-3.2-90b-text-preview")
 
+
 #=================
 # Crew Agents
 #=================
 
 planner = Agent(
     role="Business Consultant",
-    goal=planner_goal,
-    backstory=(
-        "You're tasked with providing insights about {topic} to the stakeholder: {stakeholder}. "
-        "Your work will form the foundation for the Business Writer and Data Analyst."
-    ),
+    goal="Plan engaging and factually accurate content about the : {topic}",
+    backstory="You're working on providing Insights about : {topic} "
+              "to your stakeholder who is : {stakeholder}."
+              "You collect information that help them take decisions "
+              "Your work is the basis for "
+              "the Business Writer to deliver good insights.",
     allow_delegation=False,
-    verbose=True,
-    llm=llm
+	verbose=True,
+    llm = llm
 )
 
+
 writer = Agent(
     role="Business Writer",
-    goal=writer_goal,
-    backstory=(
-        "You will write a professional insights document about {topic}, "
-        "based on the Business Consultant's plan and the Data Analyst's results."
-    ),
+    goal="Write insightful and factually accurate "
+         "insights about the topic: {topic}",
+    backstory="You're writing a Business Insights document "
+              "about the topic: {topic}. "
+              "You base your design on the work of "
+              "the Business Consultant, who provides an outline "
+              "and relevant context about the : {topic}. "
+              "and also the data analyst who will provide you with necessary analysis about the : {topic} "
+              "You follow the main objectives and "
+              "direction of the outline, "
+              "as provided by the Business Consultant. "
+              "You also provide objective and impartial insights "
+              "and back them up with information "
+              "provided by the Business Consultant."
+              "design your document in a professional way to be presented to : {stakeholder}."
+              ,
     allow_delegation=False,
     verbose=True,
     llm=llm
 )
 
+
 analyst = Agent(
     role="Data Analyst",
-    goal=analyst_goal,
-    backstory=(
-        "You will perform statistical analysis on {topic}, based on the Business Consultant's plan. "
-        "Your analysis will support the Business Writer's final document for {stakeholder}."
-    ),
+    goal="Perform Comprehensive Statistical Analysis on the topic: {topic} ",
+    backstory="You're using your strong analytical skills to provide a comprehensive statistical analysis with numbers "
+              "about the topic: {topic}. "
+              "You base your design on the work of "
+              "the Business Consultant, who provides an outline "
+              "and relevant context about the : {topic}. "
+              "You follow the main objectives and "
+              "direction of the outline, "
+              "as provided by the Business Consultant. "
+              "You also provide comprehensive statistical analysis with numbers to the Business Writer "
+              "and back them up with information "
+              "provided by the Business Consultant.",
     allow_delegation=False,
     verbose=True,
     llm=llm
@@ -112,36 +108,54 @@ analyst = Agent(
 
 plan = Task(
     description=(
-        "1. Research trends, key players, and noteworthy news for {topic}.\n"
-        "2. Provide structured insights and actionable recommendations.\n"
-        "3. Suggest strategies for dealing with international operators.\n"
-        "4. Limit content to 500 words."
+        "1. Prioritize the latest trends, key players, "
+            "and noteworthy news on the {topic}.\n"
+        "2. Place your business insights.\n"
+        "3. Also give some suggestions and things to consider when \n "
+            "dealing with International operators.\n"
+        "5. Limit the document to only 500 words"
     ),
-    expected_output="A comprehensive consultancy document with insights and recommendations.",
-    agent=planner
+    expected_output="A comprehensive Business Consultancy document "
+        "with an outline, and detailed insights, analysis and suggestions",
+    agent=planner,
+    # tools = [tool]
+
 )
 
+
+
 write = Task(
     description=(
-        "1. Use the Business Consultant's plan to write a professional document for {topic}.\n"
-        "2. Structure the content with engaging sections and visuals.\n"
-        "3. Ensure alignment with the stakeholder's goals.\n"
-        "4. Limit the document to 200 words."
+        "1. Use the business consultant's plan to craft a compelling "
+            "document about {topic}.\n"
+		    "2. Sections/Subtitles are properly named "
+            "in an engaging manner.\n"
+        "3. Proofread for grammatical errors and "
+            "alignment with the brand's voice.\n"
+         "3. Limit the document to only 200 words "
+         "4. Use impressive images and charts to reinforce your insights "
     ),
-    expected_output="A professional document tailored for {stakeholder}.",
+    expected_output="A well-written Document "
+        "providing insights for {stakeholder} ",
     agent=writer
 )
 
+
 analyse = Task(
     description=(
-        "1. Perform statistical analysis to provide actionable insights for {topic}.\n"
-        "2. Collaborate with the Business Consultant and Writer to align on key metrics.\n"
-        "3. Present findings in a format suitable for inclusion in the final document."
-    ),
-    expected_output="A data-driven analysis tailored for {stakeholder}.",
+        "1. Use the business consultant's plan to do "
+            "the needed statistical analysis with numbers on {topic}.\n"
+		    "2. to be presented to {stakeholder} "
+            "in a document which will be deisgned by the Business Writer.\n"
+        "3. You'll collaborate with your team of Business Consultant and Business writer "
+            "to align on the best analysis to be provided about {topic}.\n"
+ ),
+    expected_output="A clear comprehensive data analysis "
+        "providing insights and statistics with numbers to the Business Writer ",
     agent=analyst
 )
 
+
 #=================
 # Execution
 #=================
@@ -152,59 +166,7 @@ crew = Crew(
     verbose=2
 )
 
-def generate_pdf_report(result):
-    """Generate a professional PDF report from the Crew output."""
-    pdf = FPDF()
-    pdf.add_page()
-    pdf.set_font("Arial", size=12)
-    pdf.set_auto_page_break(auto=True, margin=15)
-
-    # Title
-    pdf.set_font("Arial", size=16, style="B")
-    pdf.cell(200, 10, txt="AI Business Consultant Report", ln=True, align="C")
-    pdf.ln(10)
-
-    # Content
-    pdf.set_font("Arial", size=12)
-    pdf.multi_cell(0, 10, txt=result)
-
-    # Save PDF
-    report_path = "Business_Insights_Report.pdf"
-    pdf.output(report_path)
-    return report_path
-
-if st.button("Run Analysis"):
-    with st.spinner('Executing analysis...'):
-        try:
-            start_time = time.time()
-            result = crew.kickoff(inputs={"topic": business, "stakeholder": stakeholder})
-            execution_time = time.time() - start_time
-
-            # Display Results
-            st.markdown("### Insights and Analysis")
-            st.write(result)
-
-            # Display Execution Time
-            st.success(f"Analysis completed in {execution_time:.2f} seconds!")
-
-            # Visualization Example
-            st.markdown("### Data Visualization Example")
-            data = pd.DataFrame({
-                "Metric": ["Trend 1", "Trend 2", "Trend 3"],
-                "Value": [45, 80, 65]
-            })
-            fig = px.bar(data, x="Metric", y="Value", title="Sample Metrics for Analysis")
-            st.plotly_chart(fig)
-
-            # Generate and Provide PDF Report
-            report_path = generate_pdf_report(result)
-            with open(report_path, "rb") as file:
-                st.download_button(
-                    label="Download Report as PDF",
-                    data=file,
-                    file_name="Business_Insights_Report.pdf",
-                    mime="application/pdf"
-                )
-
-        except Exception as e:
-            st.error(f"An error occurred during execution: {e}")
+if st.button("Run"):
+ with st.spinner('Loading...'):
+  result = crew.kickoff(inputs={"topic": business,"stakeholder": stakeholder})
+  st.write(result)