app.py

import gradio as gr
from transformers import AutoModelForSequenceClassification, AutoTokenizer

# Load your model and tokenizer
model_name = "your-model-name"
model = AutoModelForSequenceClassification.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

def predict(input_text):
    # Tokenize and make prediction
    inputs = tokenizer(input_text, return_tensors="pt", truncation=True, padding=True)
    outputs = model(**inputs)
    prediction = outputs.logits.argmax(-1).item()
    return prediction

# Define Gradio interface
iface = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
    outputs="label",
    title="Your Model Name",
    description="Enter some text to get a prediction."
)

# Launch the interface
iface.launch()