Delete app.py

app.py

@@ -1,15 +0,0 @@
-import streamlit as st
-from transformers import BertTokenizer, BertForSequenceClassification
-import torch
-
-# Load model and tokenizer
-tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
-model = BertForSequenceClassification.from_pretrained('RAKUGenie/autotrain-g260y-aiz48')
-
-st.title("Sentiment Analysis")
-text = st.text_input("Enter text:")
-if text:
-    inputs = tokenizer(text, return_tensors='pt')
-    outputs = model(**inputs)
-    prediction = torch.argmax(outputs.logits).item()
-    st.write(f"Prediction: {prediction}")