Update app.py

app.py

@@ -4,7 +4,6 @@ import logging
 from typing import Dict, Any, Optional
 from dataclasses import dataclass, asdict
 import json
-import gradio as gr
 
 # Configuration Management
 @dataclass
@@ -33,10 +32,7 @@ class MarketingLogger:
             "CRITICAL": logging.CRITICAL
         }
         
-        # Create log directory if it doesn't exist
-        log_dir = os.path.dirname("marketing_assistant.log")
-        os.makedirs(log_dir, exist_ok=True)
-        
+        # Configure logging
         logging.basicConfig(
             level=logging_levels.get(level.upper(), logging.INFO),
             format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
@@ -47,8 +43,226 @@ class MarketingLogger:
         )
         return logging.getLogger(__name__)
 
+# Strategy Generation Core
+class MarketingStrategyGenerator:
+    def __init__(self, config: MarketingConfiguration):
+        """
+        Initialize marketing strategy generator
+        
+        :param config: Configuration for strategy generation
+        """
+        self.config = config
+        self.logger = MarketingLogger.setup_logging(config.logging_level)
+        
+        # Ensure output directory exists
+        os.makedirs(config.output_directory, exist_ok=True)
+
+    def validate_inputs(self, inputs: Dict[str, Any]) -> bool:
+        """
+        Validate input parameters
+        
+        :param inputs: Dictionary of input parameters
+        :return: Boolean indicating input validity
+        """
+        required_keys = [
+            'product_description', 
+            'audience_details', 
+            'budget', 
+            'channels'
+        ]
+        
+        for key in required_keys:
+            if not inputs.get(key):
+                self.logger.error(f"Missing required input: {key}")
+                return False
+        
+        try:
+            budget = float(inputs['budget'])
+            if budget <= 0:
+                self.logger.error("Budget must be a positive number")
+                return False
+        except ValueError:
+            self.logger.error("Invalid budget format")
+            return False
+        
+        return True
+
+    def generate_marketing_strategy(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Generate a comprehensive marketing strategy
+        
+        :param inputs: Marketing strategy inputs
+        :return: Generated marketing strategy
+        """
+        # Input validation
+        if not self.validate_inputs(inputs):
+            return {"error": "Invalid input parameters"}
+        
+        try:
+            # Professional strategy generation template
+            strategy = {
+                "product": inputs['product_description'],
+                "target_audience": inputs['audience_details'],
+                "budget": inputs['budget'],
+                "channels": inputs['channels'],
+                "strategy_components": {
+                    "market_positioning": self._generate_positioning(inputs),
+                    "channel_strategy": self._generate_channel_strategy(inputs),
+                    "budget_allocation": self._allocate_budget(inputs),
+                    "performance_metrics": self._define_performance_metrics(inputs)
+                },
+                "risk_assessment": self._assess_marketing_risks(inputs)
+            }
+            
+            # Log strategy generation
+            self.logger.info(f"Strategy generated for: {inputs['product_description']}")
+            
+            return strategy
+        
+        except Exception as e:
+            self.logger.error(f"Strategy generation error: {str(e)}")
+            return {"error": str(e)}
+
+    def _generate_positioning(self, inputs: Dict[str, Any]) -> Dict[str, str]:
+        """
+        Generate market positioning strategy
+        """
+        return {
+            "unique_value_proposition": f"Innovative solution for {inputs['audience_details']}",
+            "brand_messaging": f"Targeting {inputs['channels']} with focused approach"
+        }
+
+    def _generate_channel_strategy(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Generate channel-specific marketing strategies
+        """
+        channels = inputs['channels'].lower().split(',')
+        strategies = {}
+        
+        channel_mapping = {
+            'instagram': {
+                'content_type': 'Visual storytelling',
+                'engagement_strategy': 'Influencer partnerships'
+            },
+            'linkedin': {
+                'content_type': 'Professional thought leadership',
+                'engagement_strategy': 'B2B networking'
+            },
+            'email': {
+                'content_type': 'Personalized nurture campaigns',
+                'engagement_strategy': 'Segmented communication'
+            }
+        }
+        
+        for channel in channels:
+            channel = channel.strip()
+            strategies[channel] = channel_mapping.get(
+                channel, 
+                {'content_type': 'Generic digital marketing', 'engagement_strategy': 'Multi-channel approach'}
+            )
+        
+        return strategies
+
+    def _allocate_budget(self, inputs: Dict[str, Any]) -> Dict[str, float]:
+        """
+        Intelligent budget allocation
+        """
+        total_budget = float(inputs['budget'])
+        channels = inputs['channels'].lower().split(',')
+        
+        # Basic budget allocation strategy
+        base_allocation = {
+            'digital_advertising': 0.4,
+            'content_creation': 0.25,
+            'channel_specific': 0.25,
+            'analytics_tools': 0.1
+        }
+        
+        allocated_budget = {
+            category: total_budget * percentage 
+            for category, percentage in base_allocation.items()
+        }
+        
+        return allocated_budget
 
-# ... (rest of your code, unchanged)
+    def _define_performance_metrics(self, inputs: Dict[str, Any]) -> Dict[str, str]:
+        """
+        Define key performance indicators
+        """
+        return {
+            "conversion_rate": "Track sales and lead generation",
+            "customer_acquisition_cost": "Monitor marketing efficiency",
+            "engagement_metrics": "Analyze channel-specific interactions",
+            "roi_tracking": "Measure return on marketing investment"
+        }
+
+    def _assess_marketing_risks(self, inputs: Dict[str, Any]) -> Dict[str, str]:
+        """
+        Conduct basic marketing risk assessment
+        """
+        return {
+            "market_saturation": "Potential challenges in competitive landscape",
+            "audience_alignment": f"Relevance to {inputs['audience_details']}",
+            "budget_constraints": f"Limited budget of ${inputs['budget']}",
+            "channel_effectiveness": f"Risks in {inputs['channels']} channels"
+        }
+
+    def save_strategy(self, strategy: Dict[str, Any], filename: Optional[str] = None) -> str:
+        """
+        Save marketing strategy to a JSON file
+        
+        :param strategy: Generated marketing strategy
+        :param filename: Optional custom filename
+        :return: Path to saved strategy file
+        """
+        if not filename:
+            filename = f"marketing_strategy_{strategy['product'].replace(' ', '_').lower()}.json"
+        
+        filepath = os.path.join(self.config.output_directory, filename)
+        
+        try:
+            with open(filepath, 'w') as f:
+                json.dump(strategy, f, indent=4)
+            
+            self.logger.info(f"Strategy saved to {filepath}")
+            return filepath
+        except Exception as e:
+            self.logger.error(f"Error saving strategy: {e}")
+            return ""
+
+# Gradio Interface
+def create_marketing_interface(generator):
+    import gradio as gr
+    
+    def generate_strategy_wrapper(product, audience, budget, channels):
+        inputs = {
+            'product_description': product,
+            'audience_details': audience,
+            'budget': budget,
+            'channels': channels
+        }
+        strategy = generator.generate_marketing_strategy(inputs)
+        
+        # Save strategy to file
+        generator.save_strategy(strategy)
+        
+        # Convert strategy to readable format
+        return json.dumps(strategy, indent=2)
+
+    interface = gr.Interface(
+        fn=generate_strategy_wrapper,
+        inputs=[
+            gr.Textbox(label="Product Description"),
+            gr.Textbox(label="Target Audience Details"),
+            gr.Number(label="Marketing Budget ($)"),
+            gr.Textbox(label="Marketing Channels")
+        ],
+        outputs="text",
+        title="Professional Marketing Strategy Generator",
+        description="Generate comprehensive marketing strategies with advanced analytics"
+    )
+    
+    return interface
 
 # Main Execution
 def main():
@@ -64,7 +278,7 @@ def main():
     
     # Create and launch Gradio interface
     interface = create_marketing_interface(strategy_generator)
-    interface.launch(share=True, debug=True)  # Added share=True for public sharing
+    interface.launch(debug=True)
 
 if __name__ == "__main__":
     main()