app.py

import gradio as gr
from transformers import AutoModelForSequenceClassification, AutoTokenizer

# Load the model and tokenizer
model = AutoModelForSequenceClassification.from_pretrained("willco-afk/my-model-name")
tokenizer = AutoTokenizer.from_pretrained("willco-afk/my-model-name")

# Define inference function
def classify_text(text):
    inputs = tokenizer(text, return_tensors="pt")
    logits = model(**inputs).logits
    predictions = logits.argmax(dim=-1)
    return predictions.item()

# Define Gradio interface
iface = gr.Interface(fn=classify_text, 
                     inputs="text", 
                     outputs="text", 
                     live=True)

iface.launch()