app.py

import gradio as gr
from webscraping import get_about_section 
from llm_processing import generate_email
from email_generator import format_email



def process_input(input_type, url_or_text, recipient_name, project_name, key_features, email_style):
    try:
        # Get the about text based on input type
        if input_type == "URL of Recipient":
            about_text = get_about_section(url_or_text)
            if about_text.startswith("Error:"):
                return about_text
        else:
            # "Text" option
            about_text = url_or_text

        # Generate email using LLM with style
        generated_email = generate_email(about_text, recipient_name, project_name, key_features.split(','), email_style)
        if generated_email.startswith("Error:"):
            return generated_email

        # Format the email
        formatted_email = format_email(generated_email)
        return formatted_email
    except Exception as e:
        return f"An error occurred: {str(e)}"

# Define Gradio interface
iface = gr.Interface(
    fn=process_input,
    inputs=[
        gr.Radio(["URL of Recipient", "Text"], label="Input Type"),
        gr.Textbox(label="Profile URL or About Text"),
        gr.Textbox(label="Recipient Name"),
        gr.Textbox(label="Project Name"),
        gr.Textbox(label="Key Features of your project (comma-separated)"),
        gr.Radio(["Casual", "Professional", "Cold"], label="Email Style")
    ],
    outputs=gr.Textbox(label="Generated Email"),
    title="Personalized Email Generator",
    description="Provide recipient information, project details, and select an email style to generate a personalized email."
)

# Launch the app
if __name__ == "__main__":
    iface.launch()