app.py

import gradio as gr
from transformers import MobileBertTokenizer, pipeline

tokenizer = MobileBertTokenizer.from_pretrained("Prava1/PRV-AI-1.0")
classifier = pipeline(
    "text-classification",
    model="Prava1/PRV-AI-1.0",
    tokenizer=tokenizer
)

def analyze(text):
    result = classifier(text)[0]
    label = result["label"]
    score = result["score"]
    return f"Result: {label} (Confidence: {score:.2%})"

app = gr.Interface(
    fn=analyze,
    inputs=gr.Textbox(
        label="Enter any text",
        placeholder="Type something here..."
    ),
    outputs=gr.Textbox(label="PRV AI 1.0 Result"),
    title="PRV AI 1.0",
    description="Lightweight AI model by PRV — 24.5M parameters"
)

app.launch()
```