app.py

import gradio as gr
import torch
from transformers import AutoTokenizer, AutoModelForSequenceClassification

MODEL_ID = "dataguychill/sentiment_reddit" 
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
model = AutoModelForSequenceClassification.from_pretrained(MODEL_ID)
model.eval()
id2label = model.config.id2label

def predict(text):
    inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True, max_length=128)
    with torch.no_grad():
        outputs = model(**inputs)
    pred = torch.argmax(outputs.logits, dim=-1).item()
    return id2label[pred]

demo = gr.Interface(fn=predict, inputs="text", outputs="text")
demo.launch()