Update app.py

app.py

@@ -10,7 +10,10 @@ from datetime import datetime, timedelta
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 report_summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
 
-# Business Analysis Functions
+##########################################
+#         BUSINESS ANALYSIS FUNCTIONS    #
+##########################################
+
 def create_performance_comparison():
     categories = [
         'AI Model Loading',
@@ -20,6 +23,7 @@ def create_performance_comparison():
         'Video Processing',
         'Large Dataset Analysis'
     ]
+    # Current performance (2GB VRAM) vs. potential with an upgraded GPU.
     current_values = [20, 15, 10, 25, 12, 18]
     potential_values = [100, 100, 100, 100, 100, 100]
     
@@ -33,7 +37,8 @@ def create_performance_comparison():
         barmode='group',
         yaxis_title='Relative Performance (%)',
         plot_bgcolor='white',
-        font={'family': 'Arial', 'size': 14}
+        font={'family': 'Arial', 'size': 14},
+        legend={'orientation': 'h', 'x':0.2, 'y':1.1}
     )
     return fig
 
@@ -65,7 +70,8 @@ def create_roi_projection():
         xaxis_title='Month',
         yaxis_title='Revenue (USD)',
         plot_bgcolor='white',
-        font={'family': 'Arial', 'size': 14}
+        font={'family': 'Arial', 'size': 14},
+        legend={'orientation': 'h', 'x':0.3, 'y':1.1}
     )
     return fig
 
@@ -79,34 +85,37 @@ def calculate_loan_details(loan_amount, interest_rate=5.0):
         
         monthly_payment = amount * (monthly_rate * (1 + monthly_rate) ** repayment_period) / ((1 + monthly_rate) ** repayment_period - 1)
         
-        schedule = "📊 Detailed Loan Repayment Schedule\n\n"
-        schedule += f"💰 Loan Amount: ${amount:,.2f}\n"
-        schedule += f"⏳ Grace Period: {grace_period} months\n"
-        schedule += f"📈 Annual Interest Rate: {interest_rate}%\n"
-        schedule += f"💵 Monthly Payment (starting month {grace_period + 1}): ${monthly_payment:,.2f}\n\n"
+        schedule = "📊 **Detailed Loan Repayment Schedule**\n\n"
+        schedule += f"**💰 Loan Amount:** ${amount:,.2f}\n"
+        schedule += f"**⏳ Grace Period:** {grace_period} months\n"
+        schedule += f"**📈 Annual Interest Rate:** {interest_rate}%\n"
+        schedule += f"**💵 Monthly Payment (starting month {grace_period + 1}):** ${monthly_payment:,.2f}\n\n"
         
         remaining_balance = amount
         total_interest = 0
         current_date = datetime.now()
         
-        schedule += "Monthly Breakdown:\n"
+        schedule += "**Monthly Breakdown:**\n"
         for month in range(1, repayment_period + grace_period + 1):
             date = current_date + timedelta(days=30 * month)
             if month <= grace_period:
-                schedule += f"{date.strftime('%B %Y')}: Grace Period (No Payment)\n"
+                schedule += f"- {date.strftime('%B %Y')}: Grace Period (No Payment)\n"
             else:
                 interest = remaining_balance * monthly_rate
                 principal = monthly_payment - interest
                 remaining_balance -= principal
                 total_interest += interest
-                schedule += f"{date.strftime('%B %Y')}: ${monthly_payment:,.2f} (Principal: ${principal:,.2f}, Interest: ${interest:,.2f})\n"
+                schedule += f"- {date.strftime('%B %Y')}: ${monthly_payment:,.2f} (Principal: ${principal:,.2f}, Interest: ${interest:,.2f})\n"
         
-        schedule += f"\n📊 Total Interest Paid: ${total_interest:,.2f}"
+        schedule += f"\n**📊 Total Interest Paid:** ${total_interest:,.2f}"
         return schedule
     except ValueError:
         return "⚠️ Please enter a valid loan amount"
 
-# Multi-Agent Functions
+##########################################
+#           MULTI-AGENT FUNCTIONS        #
+##########################################
+
 def web_scrape_agent(url):
     try:
         response = requests.get(url, headers={'User-Agent': 'Mozilla/5.0'})
@@ -122,7 +131,7 @@ def research_agent(query):
             results = ddgs.text(query, max_results=5)
         if results:
             response = "\n\n".join(
-                [f"{result.get('title', 'No Title')}:\n{result.get('href', 'No URL')}" for result in results]
+                [f"**{result.get('title', 'No Title')}**:\n{result.get('href', 'No URL')}" for result in results]
             )
             return response
         else:
@@ -184,42 +193,56 @@ def weather_report_agent(city):
     except Exception as e:
         return f"Error fetching weather data: {e}"
 
-# Gradio Interface
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
+##########################################
+#         GRADIO INTERFACE               #
+##########################################
+
+with gr.Blocks(theme=gr.themes.Soft(), css="""
+    /* Custom CSS for header and tabs */
+    .header {
+        background: linear-gradient(90deg, #4ECB71, #FF6B6B);
+        padding: 20px;
+        text-align: center;
+        color: white;
+        font-family: 'Arial', sans-serif;
+    }
+    .header h1 {
+        margin: 0;
+        font-size: 36px;
+    }
+    .header p {
+        margin: 5px 0 0;
+        font-size: 18px;
+    }
+""") as demo:
+    # Custom header
+    gr.HTML("""
+    <div class="header">
+        <h1>🚀 Sletcher Systems</h1>
+        <p>Advanced Business & Multi-Agent Intelligence Platform</p>
+    </div>
+    """)
+
     gr.Markdown("""
-    # 🚀 Sletcher Systems: Advanced Business & Analysis Platform
-    ## Comprehensive Business Intelligence and Multi-Agent System
+    ## Welcome!
+    Explore our comprehensive suite of tools that leverage state-of-the-art AI for business analysis, strategic planning, and real-time insights.
     """)
-    
+
     with gr.Tabs():
-        # Business Analysis Tabs
         with gr.TabItem("🏢 Company Overview"):
             with gr.Row():
                 with gr.Column():
                     gr.Markdown("""
                     ### 🎯 Our Vision
-                    Transforming Sletcher Systems into a leading technology solutions provider
-                    through strategic infrastructure investment and intelligent automation.
-                    
-                    ### 💪 Core Competencies
-                    - 🤖 Advanced AI Solutions
-                    - 🎮 Game Development
-                    - 📊 Data Analytics
-                    - 💻 Custom Software Development
+                    Transform Sletcher Systems into a leading tech solutions provider by integrating cutting-edge AI, immersive game development, and data-driven insights.
                     """)
                 with gr.Column():
                     gr.Markdown("""
-                    ### 📈 Growth Opportunities
-                    - AI model deployment at scale
-                    - High-performance game development
-                    - Real-time data processing
-                    - Multi-agent system integration
-                    
-                    ### ⚡ Platform Capabilities
-                    - Automated research and analysis
-                    - Real-time weather monitoring
-                    - Web content extraction
-                    - Strategic planning assistance
+                    ### 💪 Core Competencies
+                    - 🤖 Advanced AI Solutions  
+                    - 🎮 Next-Gen Game Development  
+                    - 📊 In-Depth Data Analytics  
+                    - 💻 Custom Software & Multi-Agent Systems  
                     """)
         
         with gr.TabItem("📊 Performance Analysis"):
@@ -235,8 +258,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
             calculate_button = gr.Button("📊 Calculate Repayment Schedule", variant="primary")
             schedule_output = gr.Textbox(label="Detailed Repayment Schedule", lines=15)
             calculate_button.click(calculate_loan_details, inputs=[loan_amount, interest_rate], outputs=[schedule_output])
-
-        # Multi-Agent Tabs
+        
         with gr.TabItem("🌐 Web Research"):
             with gr.Row():
                 url_input = gr.Textbox(label="Enter URL for Analysis", placeholder="https://example.com", lines=1)
@@ -249,23 +271,46 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
                 research_output = gr.Textbox(label="Research Results", lines=10)
             scrape_button.click(web_scrape_agent, inputs=url_input, outputs=scrape_output)
             research_button.click(research_agent, inputs=research_query, outputs=research_output)
-
+        
         with gr.TabItem("📋 Report Generator"):
             report_input = gr.Textbox(label="Enter Content for Summary", placeholder="Paste your text here...", lines=10)
             report_button = gr.Button("📝 Generate Report")
             report_output = gr.Textbox(label="Generated Summary", lines=6)
             report_button.click(report_agent, inputs=report_input, outputs=report_output)
-
+        
         with gr.TabItem("📅 Project Planning"):
             planning_input = gr.Textbox(label="Enter Project Goal", placeholder="E.g., Launch new product line", lines=2)
             planning_button = gr.Button("🎯 Generate Plan")
             planning_output = gr.Textbox(label="Action Plan", lines=6)
             planning_button.click(planning_agent, inputs=planning_input, outputs=planning_output)
-
+        
         with gr.TabItem("🌤️ Weather Monitor"):
             city_input = gr.Textbox(label="Enter City Name", placeholder="e.g., London", lines=1)
             weather_button = gr.Button("🌡️ Get Weather")
             weather_output = gr.Textbox(label="Weather Report", lines=3)
             weather_button.click(weather_report_agent, inputs=city_input, outputs=weather_output)
-
-demo.launch(share=True)
+        
+        with gr.TabItem("💡 Personal Pitch"):
+            gr.Markdown("""
+            ### Why I Need Your Support
+            I'm passionate about building cutting-edge applications—ranging from retrieval-augmented generation (RAG) systems to immersive game development and advanced AI research.  
+            
+            **My vision:**
+            - Leverage GPU-accelerated technologies to build scalable, real-time solutions.
+            - Transform data into actionable insights that drive business success.
+            - Innovate at the intersection of AI, software development, and automation.
+            
+            **What I bring to the table:**
+            - Proven ability to build robust apps and multi-agent systems.
+            - Hands-on expertise in training state-of-the-art models.
+            - A relentless drive to learn and innovate on platforms like Hugging Face Spaces.
+            
+            **The ask:**
+            - Your investment in a high-performance GPU will not only accelerate my projects but will also fuel the creation of solutions that have the potential to generate real revenue and transformative impact.
+            
+            Let's build the future together!
+            """)
+    
+    gr.Markdown("### Thank you for your time and consideration!")
+    
+demo.launch(share=True)