Adding root app

adding root requirements
adding root README.md

README.md

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+---
+title: AI Messaging System Visualization
+emoji: 🎵
+colorFrom: blue
+colorTo: purple
+sdk: streamlit
+sdk_version: "1.28.0"
+app_file: app.py
+pinned: false
+---
+
+# AI Messaging System - Visualization Tool
+
+An interactive Streamlit dashboard for visualizing and analyzing AI-generated marketing messages across multiple brands and campaigns.
+
+## Features
+
+- **Multi-Brand Support**: Visualize data for multiple brands with custom theming
+- **Campaign Analysis**: Track message performance across different campaigns
+- **AI Model Comparison**: Compare outputs from various AI models (GPT, Gemini, etc.)
+- **Real-time Insights**: Interactive charts and metrics powered by Plotly
+- **Secure Authentication**: Token-based access control
+- **Snowflake Integration**: Direct connection to your data warehouse
+
+## Setup for HuggingFace Spaces
+
+### Required Secrets
+
+This Space requires the following environment variables to be configured in your Space Settings:
+
+#### Snowflake Database Configuration
+- `SNOWFLAKE_USER`: Your Snowflake username
+- `SNOWFLAKE_PASSWORD`: Your Snowflake password
+- `SNOWFLAKE_ACCOUNT`: Your Snowflake account identifier
+- `SNOWFLAKE_ROLE`: Your Snowflake role name
+- `SNOWFLAKE_DATABASE`: Database name
+- `SNOWFLAKE_WAREHOUSE`: Warehouse name
+- `SNOWFLAKE_SCHEMA`: Schema name
+
+#### AI Provider API Keys
+- `OPENAI_API_KEY`: OpenAI API key for GPT models
+- `GOOGLE_API_KEY`: Google AI API key for Gemini models
+
+#### Application Security
+- `APP_TOKEN`: Secure access token for authentication
+
+### How to Configure Secrets
+
+1. Go to your Space settings on HuggingFace
+2. Navigate to the "Settings" tab
+3. Scroll down to "Repository secrets"
+4. Click "Add a secret" for each required variable
+5. Enter the name and value, then save
+
+## Project Structure
+
+```
+AI_Message_Generator/
+├── app.py                          # HuggingFace Space entry point
+├── requirements.txt                # Combined dependencies
+├── ai_messaging_system_v2/         # Backend logic and AI agents
+│   ├── Messaging_system/
+│   ├── database/
+│   ├── configs/
+│   └── requirements.txt
+└── visualization/                  # Streamlit UI
+    ├── app.py                      # Main visualization app
+    ├── pages/                      # Multi-page app sections
+    ├── utils/                      # Helper functions
+    ├── data/                       # Data storage
+    └── requirements.txt
+```
+
+## Local Development
+
+To run this application locally:
+
+1. Clone the repository:
+```bash
+git clone <your-repo-url>
+cd AI_Message_Generator
+```
+
+2. Install dependencies:
+```bash
+pip install -r requirements.txt
+```
+
+3. Set up environment variables:
+   - Copy `visualization/.env.example` to `.env`
+   - Fill in your actual credentials
+
+4. Run the Streamlit app:
+```bash
+streamlit run app.py
+```
+
+## Architecture
+
+- **Backend**: `ai_messaging_system_v2` handles AI message generation, database operations, and business logic
+- **Frontend**: `visualization` provides the Streamlit-based user interface with authentication and data visualization
+- **Integration**: The root `app.py` serves as the entry point that properly imports and runs the visualization app
+
+## Technologies Used
+
+- **Streamlit**: Interactive web application framework
+- **Snowflake**: Cloud data warehouse
+- **OpenAI API**: GPT models for message generation
+- **Google AI API**: Gemini models for message generation
+- **Plotly**: Interactive data visualization
+- **LangGraph**: Agentic workflow orchestration
+- **Pandas**: Data manipulation and analysis
+
+## Support
+
+For issues or questions, please open an issue in the repository.
+
+## License
+
+[Specify your license here]

app.py

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+"""
+HuggingFace Space Entry Point
+This file serves as the entry point for the HuggingFace Space,
+redirecting to the visualization app.
+"""
+
+import sys
+from pathlib import Path
+
+# Add both directories to Python path
+root_dir = Path(__file__).parent
+sys.path.insert(0, str(root_dir))
+sys.path.insert(0, str(root_dir / "ai_messaging_system_v2"))
+sys.path.insert(0, str(root_dir / "visualization"))
+
+# Import and run the visualization app
+import importlib.util
+
+# Load the visualization app module
+app_path = root_dir / "visualization" / "app.py"
+spec = importlib.util.spec_from_file_location("visualization_app", app_path)
+visualization_app = importlib.util.module_from_spec(spec)
+spec.loader.exec_module(visualization_app)

requirements.txt

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+# AI Messaging System - Combined Requirements for HuggingFace Space
+# Merges dependencies from both ai_messaging_system_v2 and visualization
+
+# Core Dependencies
+streamlit>=1.28.0
+pandas>=2.0.0
+numpy>=1.20.0
+python-dotenv>=1.0.0
+
+# Data Visualization
+plotly>=5.17.0
+
+# Snowflake Integration
+snowflake-snowpark-python>=1.19.0
+snowflake-connector-python>=3.0.0
+pyarrow>=21.0.0
+cloudpickle>=1.6.0,<=2.2.1
+pyyaml>=6.0.0
+
+# Date/Time Handling
+pytz>=2020.1
+python-dateutil>=2.8.0
+tzdata>=2022.7
+
+# AI/ML APIs
+openai>=1.99.0
+google-genai>=1.24.0
+anyio>=4.8.0,<5.0.0
+google-auth>=2.14.1,<3.0.0
+httpx>=0.28.1,<1.0.0
+pydantic>=2.0.0,<3.0.0
+tenacity>=8.2.3,<9.0.0
+websockets>=13.0.0,<15.1.0
+distro>=1.7.0,<2.0.0
+jiter>=0.4.0,<1.0.0
+sniffio>=1.0.0
+
+# LangGraph for Agentic Workflow Orchestration
+langgraph>=0.2.0
+langchain-core>=0.3.0
+
+# HTTP and Crypto Dependencies
+certifi>=2017.4.17
+requests>=2.25.0,<3.0.0
+urllib3>=1.21.1,<2.0.0
+cryptography>=3.1.0
+pyopenssl>=22.0.0,<26.0.0
+cffi>=1.9,<2.0.0
+
+# Utility Libraries
+tqdm>=4.66.0