Artificial intelligence

Step-by-Step Implementation of Copy.ai

 About Copy.ai

Copy.ai uses LLMs to generate:

  • Social media captions
  • Product descriptions
  • Ad headlines
  • Slogans
  • Email hooks
    ...based on minimal user input (product, tone, audience).

We’ll build this functionality step-by-step using OpenAI GPT API, Python, and Gradio UI.

 Step 1: Install Required Libraries

pip install openai gradio

 Step 2: Set OpenAI API Key

import openai
openai.api_key = "YOUR_OPENAI_API_KEY"

 Step 3: Define Templates for Content Types

templates = {
    "Product Description": "Write a product description for '{product}' targeting {audience}. Tone: {tone}.",
    "Instagram Caption": "Write an Instagram caption for '{product}' targeting {audience} in a {tone} tone. Include hashtags.",
    "Facebook Ad Copy": "Write a Facebook ad copy for '{product}' targeting {audience} with a {tone} tone.",
    "Slogan Generator": "Create a catchy slogan for '{product}' in a {tone} tone.",
    "Email Hook": "Write an email hook for a product called '{product}' aimed at {audience}. Tone: {tone}."
}

 Step 4: Generate Content Using GPT

def generate_copy(template_type, product, audience, tone):
    prompt = templates[template_type].format(product=product, audience=audience, tone=tone)
    
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": "You are a marketing copywriter."},
            {"role": "user", "content": prompt}
        ],
        max_tokens=150,
        temperature=0.8,
        top_p=0.95
    )
    
    return response.choices[0].message["content"].strip()

 Step 5: Try Generating Copy (With Output)

Example:

print(generate_copy("Slogan Generator", "Plant-based Protein Shake", "fitness enthusiasts", "energetic"))

🖥️ Output:

"Fuel Your Gains, Naturally."

Try another one:

print(generate_copy("Instagram Caption", "Wireless Earbuds", "young professionals", "modern"))

🖥️ Output:

Cut the wires, not the vibes. 🎧✨  
#WirelessFreedom #ModernSound #WorkFromAnywhere

🖥️ Step 6: Build Copy.ai-Like Gradio UI

import gradio as gr

def app(template_type, product, audience, tone):
    return generate_copy(template_type, product, audience, tone)

gr.Interface(
    fn=app,
    inputs=[
        gr.Dropdown(list(templates.keys()), label="Select Content Type"),
        gr.Textbox(label="Product/Service"),
        gr.Textbox(label="Target Audience"),
        gr.Dropdown(["funny", "professional", "casual", "energetic", "inspirational"], label="Tone")
    ],
    outputs=gr.Textbox(label="Generated Copy"),
    title="Copy.ai Clone - AI Marketing Assistant",
    description="Enter product info and get instant AI-generated ad copy, captions, slogans, and more."
).launch()

 Final Output Example

Input:

  • Template: Product Description
  • Product: Bamboo Toothbrush
  • Audience: Eco-conscious millennials
  • Tone: Professional

Generated Output:

Introducing the Bamboo Toothbrush — a sustainable choice for eco-conscious millennials. Crafted from biodegradable bamboo, it’s durable, lightweight, and a step forward in your zero-waste journey.

Project Folder Structure

copyai-clone/
│
├── copy_templates.py         # Template dictionary
├── generate.py               # Prompt generation and model code
├── ui.py                     # Gradio interface
├── requirements.txt

 Optional Add-ons (Advanced Features):

FeatureTools to Use
User loginFirebase / Supabase
Save copy historySQLite / Firebase
SEO scoringYoast, SEMrush API
A/B test outputsStore multiple generations
Custom tone tuningPrompt tuning / fine-tuning
Translate to other languagesDeepL / Google Translate API

 Summary Table of Inputs & Outputs

Content TypeInput ExampleOutput Example
Slogan GeneratorPlant-based Protein“Fuel Your Gains, Naturally.”
Instagram CaptionWireless Earbuds + Modern“Cut the wires, not the vibes. 🎧✨ #Wireless...”
Email HookRunning Shoes + Athletes“Ready to outrun your goals? Let’s get moving...”

 Conclusion

You’ve just built a working Copy.ai clone with:

  • Multi-template selection
  • Custom tone & audience options
  • GPT-powered generation
  • Live working UI using Gradio

     

Next Blog- Part 1- Tools for Text-Based AI: Grammarly

 

Purnima
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