app.py

import gradio as gr
import openai
import os

# Load OpenAI API Key from environment variable
openai.api_key = os.getenv("OPENAI_API_KEY")

def generate_newsletter(org_name, newsletter_name, urls):
    """Generates a professional newsletter."""
    prompt = (f"Create a professional newsletter for {org_name} titled '{newsletter_name}'. "
              f"Include engaging summaries for the following URLs that spark curiosity to read more: {', '.join(urls)}. "
              "Format the newsletter with HTML tags for structure. Make it engaging and professional.")
    
    response = openai.ChatCompletion.create(
        model="gpt-4",
        messages=[
            {"role": "system", "content": "You are a professional newsletter writer who creates engaging content with perfect formatting and enticing summaries."},
            {"role": "user", "content": prompt}
        ]
    )
    
    # Generate separate summaries for each URL
    summaries = []
    for url in urls:
        summary_prompt = f"Create an enticing summary for this URL: {url}"
        summary_response = openai.ChatCompletion.create(
            model="gpt-4",
            messages=[
                {"role": "system", "content": "Create a brief, engaging summary that sparks curiosity to read more. Keep it concise and compelling."},
                {"role": "user", "content": summary_prompt}
            ]
        )
        summaries.append(summary_response["choices"][0]["message"]["content"].strip())
    
    return response["choices"][0]["message"]["content"].strip(), summaries

# Gradio Interface
def main():
    with gr.Blocks() as demo:
        gr.Markdown("# 📩 Newsletter Generator\nGenerate professional newsletters effortlessly!")
        
        org_name = gr.Textbox(label="Organization Name")
        newsletter_name = gr.Textbox(label="Newsletter Title")
        urls = gr.Textbox(label="URLs (comma-separated)")
        generate_btn = gr.Button("Generate Newsletter")
        output = gr.Textbox(label="Generated Newsletter", lines=10)
        summaries_output = gr.Textbox(label="Summaries", lines=10)
        
        def process_input(org, title, url_text):
            url_list = [url.strip() for url in url_text.split(',') if url.strip()]
            content, summaries = generate_newsletter(org, title, url_list)
            return content, '\n'.join(summaries)
        
        generate_btn.click(process_input, inputs=[org_name, newsletter_name, urls], outputs=[output, summaries_output])
        
    demo.launch()

if __name__ == "__main__":
    main()
openai
gradio