app.py

import gradio as gr
from transformers import pipeline

pipe = pipeline(
    "text2text-generation",
    model="google/flan-t5-xl",
    max_new_tokens=256

)

def analyze(text):
    prompt = f"""
    TASK:
Extract key facts from the following business document.

INSTRUCTIONS:
- Use short phrases, not full sentences
- Do not repeat the document verbatim
- No polite language
- If a value is not mentioned, write "N/A"

Return the result in exactly this format:

Offer amount:
Budget limit:
Reply deadline:
Delivery time:
Decision options:

Document:
{text}


"""
    return pipe(prompt)[0]["generated_text"]

gr.Interface(
    fn=analyze,
    inputs=gr.Textbox(lines=10, label="Text eingeben"),
    outputs=gr.Textbox(lines=15, label="Ergebnis"),
    title="Business-Text-Analyse (FLAN-T5)"
).launch()