Initial commit: Sofia AI Multi-Agent System

app.py

@@ -0,0 +1,247 @@
+import gradio as gr
+import os
+from datetime import datetime
+import json
+
+# Sofia AI Multi-Agent System
+# This space contains specialized agents for content creation and optimization
+
+class ContentCreatorAgent:
+    def __init__(self):
+        self.name = "Content Creator"
+        self.expertise = "Creating engaging social media content"
+    
+    def generate_content(self, topic, platform, tone="engaging"):
+        content_templates = {
+            "instagram": f"✨ {topic} ✨\n\nCaption: Let's talk about {topic}! 💫\n\nHashtags: #{topic.replace(' ', '')} #SofiaAI #ContentCreation",
+            "twitter": f"💭 Thinking about {topic}...\n\nWhat's your take? 🤔\n\n#{topic.replace(' ', '')} #SofiaAI",
+            "linkedin": f"Professional insight on {topic}\n\nIn today's digital landscape, {topic} is becoming increasingly important.\n\n#ProfessionalDevelopment #{topic.replace(' ', '')}",
+            "tiktok": f"🎬 Video idea: {topic}\n\nHook: Did you know about {topic}?\nContent: [Engaging explanation]\nCTA: Follow for more!\n\n#{topic.replace(' ', '')} #Viral"
+        }
+        return content_templates.get(platform.lower(), f"Content about {topic} for {platform}")
+
+class OptimizerAgent:
+    def __init__(self):
+        self.name = "Content Optimizer"
+        self.expertise = "Optimizing content for maximum engagement"
+    
+    def optimize(self, content, goals="engagement"):
+        suggestions = []
+        
+        # Check length
+        if len(content) < 50:
+            suggestions.append("⚠️ Content seems short. Consider adding more value.")
+        
+        # Check hashtags
+        if "#" not in content:
+            suggestions.append("💡 Add relevant hashtags to increase discoverability")
+        
+        # Check emojis
+        emoji_count = sum(1 for char in content if ord(char) > 127462)
+        if emoji_count == 0:
+            suggestions.append("✨ Add emojis to make content more engaging")
+        
+        # Check call to action
+        cta_keywords = ["follow", "like", "comment", "share", "click"]
+        has_cta = any(keyword in content.lower() for keyword in cta_keywords)
+        if not has_cta:
+            suggestions.append("🎯 Include a call-to-action (CTA)")
+        
+        optimization_score = 100 - (len(suggestions) * 15)
+        
+        return {
+            "score": max(optimization_score, 0),
+            "suggestions": suggestions,
+            "optimized": len(suggestions) == 0
+        }
+
+class TrendAnalyzerAgent:
+    def __init__(self):
+        self.name = "Trend Analyzer"
+        self.expertise = "Analyzing trends and suggesting content ideas"
+    
+    def analyze_trends(self, industry="general"):
+        trend_data = {
+            "tech": ["AI & Machine Learning", "Web3 & Blockchain", "Cybersecurity", "Cloud Computing", "IoT"],
+            "fashion": ["Sustainable Fashion", "Y2K Revival", "Athleisure", "Vintage Style", "Minimalism"],
+            "food": ["Plant-Based Diets", "Fermented Foods", "Global Cuisine", "Meal Prep", "Food Sustainability"],
+            "general": ["AI Innovation", "Sustainability", "Remote Work", "Mental Health", "Digital Wellness"]
+        }
+        
+        trends = trend_data.get(industry.lower(), trend_data["general"])
+        
+        analysis = f"🔍 Current Trends in {industry.capitalize()}:\n\n"
+        for i, trend in enumerate(trends, 1):
+            analysis += f"{i}. {trend}\n"
+        
+        analysis += f"\n📊 Analysis Date: {datetime.now().strftime('%Y-%m-%d')}\n"
+        analysis += "\n💡 Recommendation: Create content around these trending topics for maximum reach!"
+        
+        return analysis
+
+# Initialize agents
+content_creator = ContentCreatorAgent()
+optimizer = OptimizerAgent()
+trend_analyzer = TrendAnalyzerAgent()
+
+# Gradio Interface Functions
+def create_content_tab(topic, platform, tone):
+    if not topic:
+        return "Please enter a topic!"
+    content = content_creator.generate_content(topic, platform, tone)
+    return content
+
+def optimize_content_tab(content, goals):
+    if not content:
+        return "Please enter content to optimize!"
+    result = optimizer.optimize(content, goals)
+    
+    output = f"📊 Optimization Score: {result['score']}/100\n\n"
+    if result['optimized']:
+        output += "✅ Your content is well optimized!\n"
+    else:
+        output += "💡 Suggestions for improvement:\n\n"
+        for suggestion in result['suggestions']:
+            output += f"  {suggestion}\n"
+    
+    return output
+
+def analyze_trends_tab(industry):
+    return trend_analyzer.analyze_trends(industry)
+
+def full_workflow(topic, platform, industry):
+    # Step 1: Analyze trends
+    trends = trend_analyzer.analyze_trends(industry)
+    
+    # Step 2: Create content
+    content = content_creator.generate_content(topic, platform)
+    
+    # Step 3: Optimize content
+    optimization = optimizer.optimize(content)
+    
+    workflow_output = f"""🤖 SOFIA AI MULTI-AGENT WORKFLOW
+{'='*50}
+
+📊 STEP 1: TREND ANALYSIS
+{trends}
+
+{'='*50}
+
+✍️ STEP 2: CONTENT CREATION
+{content}
+
+{'='*50}
+
+🎯 STEP 3: CONTENT OPTIMIZATION
+Score: {optimization['score']}/100
+"""
+    
+    if optimization['suggestions']:
+        workflow_output += "\nSuggestions:\n"
+        for suggestion in optimization['suggestions']:
+            workflow_output += f"  {suggestion}\n"
+    
+    return workflow_output
+
+# Create Gradio Interface
+with gr.Blocks(theme=gr.themes.Soft(), title="Sofia AI Agents") as demo:
+    gr.Markdown("""
+    # 🤖 Sofia AI - Multi-Agent System
+    ### Specialized AI Agents for Content Creation & Optimization
+    
+    This space contains 3 specialized agents:
+    - 👨‍🎨 **Content Creator**: Generates engaging content for different platforms
+    - 🎯 **Optimizer**: Analyzes and optimizes your content
+    - 📊 **Trend Analyzer**: Identifies trending topics in your industry
+    """)
+    
+    with gr.Tabs():
+        # Content Creator Tab
+        with gr.Tab("👨‍🎨 Content Creator"):
+            gr.Markdown("### Create engaging content for any platform")
+            with gr.Row():
+                with gr.Column():
+                    topic_input = gr.Textbox(label="Topic", placeholder="Enter your content topic...")
+                    platform_input = gr.Dropdown(
+                        choices=["Instagram", "Twitter", "LinkedIn", "TikTok"],
+                        label="Platform",
+                        value="Instagram"
+                    )
+                    tone_input = gr.Dropdown(
+                        choices=["Engaging", "Professional", "Casual", "Inspirational"],
+                        label="Tone",
+                        value="Engaging"
+                    )
+                    create_btn = gr.Button("✨ Generate Content", variant="primary")
+                with gr.Column():
+                    content_output = gr.Textbox(label="Generated Content", lines=10)
+            
+            create_btn.click(create_content_tab, inputs=[topic_input, platform_input, tone_input], outputs=content_output)
+        
+        # Optimizer Tab
+        with gr.Tab("🎯 Content Optimizer"):
+            gr.Markdown("### Optimize your content for maximum engagement")
+            with gr.Row():
+                with gr.Column():
+                    content_input = gr.Textbox(label="Your Content", lines=8, placeholder="Paste your content here...")
+                    goals_input = gr.Dropdown(
+                        choices=["Engagement", "Reach", "Conversions", "Brand Awareness"],
+                        label="Optimization Goal",
+                        value="Engagement"
+                    )
+                    optimize_btn = gr.Button("🚀 Optimize", variant="primary")
+                with gr.Column():
+                    optimization_output = gr.Textbox(label="Optimization Results", lines=10)
+            
+            optimize_btn.click(optimize_content_tab, inputs=[content_input, goals_input], outputs=optimization_output)
+        
+        # Trend Analyzer Tab
+        with gr.Tab("📊 Trend Analyzer"):
+            gr.Markdown("### Discover trending topics in your industry")
+            with gr.Row():
+                with gr.Column():
+                    industry_input = gr.Dropdown(
+                        choices=["Tech", "Fashion", "Food", "General"],
+                        label="Industry",
+                        value="General"
+                    )
+                    analyze_btn = gr.Button("🔍 Analyze Trends", variant="primary")
+                with gr.Column():
+                    trends_output = gr.Textbox(label="Trend Analysis", lines=12)
+            
+            analyze_btn.click(analyze_trends_tab, inputs=industry_input, outputs=trends_output)
+        
+        # Full Workflow Tab
+        with gr.Tab("🔄 Complete Workflow"):
+            gr.Markdown("### Run all agents in sequence")
+            with gr.Row():
+                with gr.Column():
+                    wf_topic = gr.Textbox(label="Content Topic", placeholder="Enter topic...")
+                    wf_platform = gr.Dropdown(
+                        choices=["Instagram", "Twitter", "LinkedIn", "TikTok"],
+                        label="Platform",
+                        value="Instagram"
+                    )
+                    wf_industry = gr.Dropdown(
+                        choices=["Tech", "Fashion", "Food", "General"],
+                        label="Industry",
+                        value="General"
+                    )
+                    workflow_btn = gr.Button("🚀 Run Complete Workflow", variant="primary")
+                with gr.Column():
+                    workflow_output = gr.Textbox(label="Workflow Results", lines=20)
+            
+            workflow_btn.click(full_workflow, inputs=[wf_topic, wf_platform, wf_industry], outputs=workflow_output)
+    
+    gr.Markdown("""
+    ---
+    ### 💡 About Sofia AI Agents
+    
+    This multi-agent system is designed to help you create, optimize, and analyze content efficiently.
+    Each agent specializes in a specific task, working together to provide comprehensive content solutions.
+    
+    **Created by:** GoGma | **Version:** 1.0.0
+    """)
+
+if __name__ == "__main__":
+    demo.launch()