app.py

import gradio as gr
from transformers import pipeline

# Load the model pipeline
generator = pipeline("text-generation", model="mistralai/Mistral-7B-Instruct-v0.1")

# Define the function to generate proposal text
def generate_proposal(client_description):
    prompt = f"Generate a professional project proposal based on the following client request:\n\n{client_description}\n\nProposal:"
    result = generator(prompt, max_length=512, do_sample=True, temperature=0.7)
    return result[0]['generated_text']

# Build the Gradio interface
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="Generated Proposal", lines=15),
    title="AI Proposal Generator",
    description="This app uses Mistral-7B to generate business proposals based on client input."
)

# Launch the app
iface.launch()