app.py

import streamlit as st
from transformers import AutoModelForSequenceClassification, AutoTokenizer

# Loading model and tokenizer
model = AutoModelForSequenceClassification.from_pretrained("fyp-buglens/Reviews-hasBug-BB")
tokenizer = AutoTokenizer.from_pretrained("fyp-buglens/Reviews-hasBug-BB")

st.title("Bug Detection in Game Reviews")

# Input from the user
user_input = st.text_area("Enter a review")

if st.button("Analyze"):
    inputs = tokenizer(user_input, return_tensors="pt", truncation=True)
    outputs = model(**inputs)
    prediction = outputs.logits.argmax().item()

    # Display the result
    if prediction == 1:
        st.write("This review likely mentions a bug.")
    else:
        st.write("This review does not seem to mention a bug.")