app.py

'''
from transformers import pipeline
import gradio as gr

generator = pipeline("text-generation", model="sshleifer/tiny-gpt2")

def generate_proposal(client_description):
    generated = generator(client_description, max_length=100, do_sample=True, temperature=0.7)
    return generated[0]["generated_text"]

iface = gr.Interface(
    fn=generate_proposal,
    inputs=gr.Textbox(label="Client Requirement"),
    outputs=gr.Textbox(label="Generated Proposal"),
    title="Fast Proposal Generator",
    description="Lightweight and fast text generator using TinyGPT2"
)

iface.launch()

'''
#______________________________________________________________________________________________________________________________________


import gradio as gr
from transformers import pipeline
from fpdf import FPDF
import tempfile
import os

# Load the text-generation pipeline using GPT-2
generator = pipeline("text-generation", model="gpt2")

# Format the output as a business-style proposal
def generate_proposal(client_description):
    # Generate raw text
    raw = generator(f"{client_description}", max_length=300, do_sample=True, temperature=0.7)[0]['generated_text']

    # Extract only the generated part (remove the prompt from output)
    generated_only = raw.replace(client_description, "").strip()

    # Build formatted text
    formatted = f"""
    PROJECT PROPOSAL

    Client Requirement:
    {client_description}

    Proposed Solution:
    {generated_only}

    Sincerely,
    AI Proposal Generator
    """

    # Create a PDF
    pdf = FPDF()
    pdf.add_page()
    pdf.set_auto_page_break(auto=True, margin=15)
    pdf.set_font("Arial", size=12)
    for line in formatted.split("\n"):
        pdf.multi_cell(0, 10, line)

    # Save to a temporary file
    pdf_file = tempfile.NamedTemporaryFile(delete=False, suffix=".pdf")
    pdf.output(pdf_file.name)

    # Email suggestion
    email_body = f"""
Subject: Business Proposal for Your Project

Dear Client,

Please find attached a professional proposal based on your provided requirements. We're confident this solution meets your needs and are open to feedback or further discussion.

Best regards,  
Your Name  
AI Proposal Generator  
"""

    return formatted, email_body, pdf_file.name

# Gradio UI
iface = gr.Interface(
    fn=generate_proposal,
    inputs=gr.Textbox(label="Client Requirement", placeholder="Describe the project or client needs here...", lines=5),
    outputs=[
        gr.Textbox(label="Formatted Proposal", lines=15),
        gr.Textbox(label="Email Template", lines=10),
        gr.File(label="Download Proposal as PDF")
    ],
    title="AI Proposal Generator",
    description="Enter a client request and receive a professional proposal, an email draft, and a downloadable PDF."
)

iface.launch()