Update app.py

app.py

@@ -1,4 +1,3 @@
-# app.py
 import streamlit as st
 from transformers import pipeline, TFAutoModelForSequenceClassification, AutoTokenizer
 from datasets import load_dataset
@@ -7,7 +6,7 @@ import pandas as pd
 st.set_page_config(layout="wide")
 
 # Load dataset
-@st.cache_resource
+@st.cache
 def load_data():
     dataset = load_dataset("WhiteAngelss/Turkce-Duygu-Analizi-Dataset")
     return dataset
@@ -40,13 +39,13 @@ elif input_method == "Write or Paste New Text":
     st.subheader("Text to Analyze")
     input_text = st.text_area('Write or Paste Text Below', value="", height=128, max_chars=None)
 
-@st.cache_resource
+@st.cache
 def setModel(model_checkpoint):
     model = TFAutoModelForSequenceClassification.from_pretrained(model_checkpoint)
     tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
     return pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
 
-Run_Button = st.button("Run", key=None)
+Run_Button = st.button("Run")
 
 if Run_Button and input_text:
     sentiment_pipeline = setModel(model_checkpoint)