import gradio as gr import random # SaaS Idea Categories categories = [ "AI-Powered Marketing", "Health & Fitness", "E-commerce Automation", "Remote Work Tools", "Finance & Investing", "EdTech & Learning", "Legal & Compliance", "HR & Recruitment", "Cybersecurity", "SaaS for Small Businesses" ] # AI-Based SaaS Idea Generator def generate_saas_idea(category, custom_niche, num_ideas): ideas = { "AI-Powered Marketing": [ "An AI tool that generates personalized email marketing campaigns.", "A SaaS that automates ad targeting and optimization using AI." ], "Health & Fitness": [ "A virtual AI coach that tailors workouts based on real-time feedback.", "A nutrition tracking SaaS that generates meal plans using AI." ], "E-commerce Automation": [ "AI-based product recommendation engine for online stores.", "A tool that automates social media content creation for e-commerce brands." ], "Remote Work Tools": [ "An AI-powered meeting summarizer with action item tracking.", "A virtual co-working space with AI productivity tracking." ], "Finance & Investing": [ "AI-driven stock market trend predictor for retail investors.", "A budgeting SaaS that automatically categorizes expenses using AI." ], "EdTech & Learning": [ "An AI tutor that provides instant feedback on coding exercises.", "A language learning SaaS that adapts to user mistakes dynamically." ], "Legal & Compliance": [ "An AI-based contract analyzer for small businesses.", "A GDPR compliance monitoring tool for websites." ], "HR & Recruitment": [ "An AI-driven resume screening tool that ranks candidates.", "A SaaS for automated job description optimization." ], "Cybersecurity": [ "A SaaS that detects phishing emails using AI.", "An AI-powered password strength checker and breach alert system." ], "SaaS for Small Businesses": [ "An AI-powered invoice and expense tracking system.", "A chatbot that handles customer support queries automatically." ] } selected_ideas = random.sample(ideas.get(category, ["No ideas available."]), min(num_ideas, len(ideas.get(category, [])))) if custom_niche: selected_ideas.append(f"An AI-powered SaaS solution for {custom_niche}.") return "\n\n".join(selected_ideas) # Gradio UI iface = gr.Interface( fn=generate_saas_idea, inputs=[ gr.Dropdown(categories, label="Select a Category"), gr.Textbox(label="Enter Custom Niche (Optional)"), gr.Slider(minimum=1, maximum=5, step=1, value=2, label="Number of Ideas") ], outputs="text", title="LaunchPad AI - SaaS Idea Generator", description="Get AI-generated SaaS ideas! Choose a category, enter a niche (optional), and select the number of ideas to generate.", ) # Launch the App iface.launch()