removed cache

app.py

@@ -27,7 +27,7 @@ def predict_cyberbullying_probability(sentence, tokenizer, model):
 
 # @st.cache
 def perform_cyberbullying_analysis(tweet):
-    with st.spinner(text="loading model..."):
+    with st.spinner(text="loading model, wait until spinner ends..."):
 
         model = AutoModelForSequenceClassification.from_pretrained('kingsotn/finetuned_cyberbullying')
         tokenizer = DistilBertTokenizerFast.from_pretrained('distilbert-base-uncased')
@@ -81,11 +81,10 @@ with st.form("my_form"):
     model_name = st.selectbox("Enter a text and select a pre-trained model to get the sentiment analysis", ["kingsotn/finetuned_cyberbullying", "distilbert-base-uncased-finetuned-sst-2-english", "finiteautomata/bertweet-base-sentiment-analysis", "distilbert-base-uncased"])
     
     if model_name == "kingsotn/finetuned_cyberbullying":
-        if model_name == "kingsotn/finetuned_cyberbullying":
-            default = "I'm nice at ping pong"
-            tweet = st.text_area(label="Enter Text:",value=default)
-            submitted = st.form_submit_button("Analyze textbox")
-            random = st.form_submit_button("Analyze a random 😈😈😈 tweet")
+        default = "I'm nice at ping pong"
+        tweet = st.text_area(label="Enter Text:",value=default)
+        submitted = st.form_submit_button("Analyze textbox")
+        random = st.form_submit_button("Analyze a random 😈😈😈 tweet")
 
         if random:
             tweet = comments.comments[randint(0, 354)]