app2.py

from transformers import pipeline
import gradio as gr

#Recomendador trabajar o estudiar transformer

generator = pipeline(
    "text2text-generation",
    model="google/flan-t5-small"
)

def career_advice(age, academic_level, interests, needs_income):
    prompt = f"""
You are an expert career advisor. A student has the following data:
- Age: {age}
- Academic level: {academic_level}
- Interests: {interests}
- Needs income: {needs_income}
Give a clear, realistic, and motivating recommendation about whether the student should:
- Continue studying
- Do vocational training (FP)
- Start working
Explain the reasoning behind your recommendation.
"""
    result = generator(prompt, max_length=200)
    return result[0]['generated_text']

interface = gr.Interface(
    fn=career_advice,
    inputs=[
        gr.Number(label="Age"),
        gr.Textbox(label="Academic level"),
        gr.Textbox(label="Interests"),
        gr.Dropdown(choices=["Yes", "No"], label="Needs income")
    ],
    outputs=gr.Textbox(label="Recommendation"),
    title="Career Advisor for Students"
)

interface.launch()