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