import gradio as gr from ai_wrapper import AIProjectAssistant from typing import Tuple import os from dotenv import load_dotenv # Load environment variables load_dotenv() # Get API key from environment variable API_KEY = os.getenv("OPENAI_API_KEY") if not API_KEY: raise ValueError("No OpenAI API key found. Please set OPENAI_API_KEY environment variable.") # Initialize AI Assistant assistant = AIProjectAssistant(API_KEY) # Updated project options focusing on Generative AI PROJECT_OPTIONS = { "Text-to-Image Generation": "Create an AI system that generates images from text descriptions using models like DALL-E or Stable Diffusion", "GPT Chatbot Assistant": "Build a custom GPT-powered chatbot assistant for specific domain expertise", "AI Story Generator": "Develop a creative writing AI that generates stories based on prompts", "Voice Cloning AI": "Create a system that can clone and synthesize human voices", "AI Music Composer": "Build an AI system that composes original music in different styles", "Text-to-Video Generation": "Implement a system that creates short videos from text descriptions", "AI Code Generator": "Create a coding assistant that generates code from natural language descriptions", "AI Art Style Transfer": "Develop a system that applies artistic styles to images using AI", "AI Content Summarizer": "Build an AI that creates concise summaries of long-form content", "Virtual Avatar Creator": "Create an AI system that generates and animates virtual avatars" } # Custom CSS for better styling CUSTOM_CSS = """ .container { max-width: 1200px; margin: auto; padding: 20px; } .title { text-align: center; color: #2a9d8f; padding: 20px; border-bottom: 3px solid #264653; margin-bottom: 30px; } .subtitle { color: #264653; text-align: center; font-style: italic; } .project-button { margin: 5px; border: 2px solid #2a9d8f; border-radius: 8px; background-color: #f8f9fa; } .project-button:hover { background-color: #2a9d8f; color: white; } .output-box { border: 2px solid #264653; border-radius: 10px; padding: 15px; } .sidebar { background-color: #f8f9fa; padding: 20px; border-radius: 10px; border: 2px solid #264653; } """ def process_input(input_type: str, query: str) -> Tuple[str, str]: """Process user input and return AI response.""" if not query.strip(): return "", "Please enter a query" if input_type == "brainstorm": response = assistant.brainstorm_project(query) else: response = assistant.get_code_suggestion(query) if response["success"]: status = f"Success! Tokens used: {response.get('tokens_used', 'N/A')}" return response["content"], status else: return "", f"Error: {response.get('error', 'Unknown error occurred')}" def handle_project_click(project_name: str) -> Tuple[str, str, str]: """Handle when a project option is clicked.""" description = PROJECT_OPTIONS[project_name] response = assistant.brainstorm_project(description) if response["success"]: status = f"Success! Tokens used: {response.get('tokens_used', 'N/A')}" return "brainstorm", description, response["content"] else: return "brainstorm", description, f"Error: {response.get('error', 'Unknown error occurred')}" # Create Gradio interface with custom theme with gr.Blocks(css=CUSTOM_CSS, title="DDS AI Project Assistant") as interface: with gr.Column(elem_classes="container"): gr.HTML("""

🤖 DDS AI Project Assistant 🚀

Your Generative AI Project Development Companion

""") with gr.Row(): # Left sidebar with project options with gr.Column(scale=1, elem_classes="sidebar"): gr.HTML("""

🎯 Popular GenAI Projects

""") project_buttons = [ gr.Button( name, elem_classes="project-button" ) for name in PROJECT_OPTIONS.keys() ] # Main content area with gr.Column(scale=3): input_type = gr.Radio( choices=["brainstorm", "code"], label="🤔 What kind of help do you need?", value="brainstorm" ) query = gr.Textbox( label="💭 Enter your topic or code request", placeholder="e.g., 'text-to-image generation' or 'implement stable diffusion'", elem_classes="output-box" ) submit_btn = gr.Button( "🚀 Get AI Assistance", elem_classes="project-button" ) with gr.Column(elem_classes="output-box"): output = gr.Textbox( label="🤖 AI Response", lines=10 ) status = gr.Textbox( label="📊 Status" ) gr.HTML("""

Developed by DDS Team | Powered by OpenAI

""") # Handle main submit button submit_btn.click( fn=process_input, inputs=[input_type, query], outputs=[output, status] ) # Handle project option buttons for btn in project_buttons: btn.click( fn=handle_project_click, inputs=[btn], outputs=[input_type, query, output] ) if __name__ == "__main__": interface.launch()