'mint autosave'

app.py

@@ -13,11 +13,13 @@ def analyze(input, model):
 #text insert
 input = st.text_area("insert text to be analyzed", value="Nice to see you today.", height=None, max_chars=None, key=None, help=None, on_change=None, args=None, kwargs=None, placeholder=None, disabled=False, label_visibility="visible")
 model_name = st.text_input("choose a transformer model", value="")
+if model_name:
+    model = TFAutoModelForSequenceClassification.from_pretrained(model_name)
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    classifier = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
 
-model = TFAutoModelForSequenceClassification.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
-classifier = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
+else:
+    classifier = pipeline('sentiment-analysis')
 
 
 if st.button('Analyze'):