updated app

app.py

@@ -30,7 +30,7 @@ image = st.image("images.png", width=200)
 
 # Get user input
 text = st.text_input("Type here:")
-
+button = st.button('Analyze')
 # d = {
 
 #     0:'Negative',
@@ -79,7 +79,7 @@ def get_model():
     return tokenizer,model
 tokenizer, model = get_model()
 
-if text:
+if text and button:
     text_sample = tokenizer(text, padding = 'max_length',return_tensors = 'pt')
     # print(text_sample)
     output = model(**text_sample)
@@ -88,6 +88,6 @@ if text:
 
     labels = ['Negative','Neutral','Positive']
     scores = {l:float(s) for (l,s) in zip(labels,scores_)}
-    # st.write("Logits: ",output.logits)
+    st.write("Logits: ",output.logits)
     # y_pred = np.argmax(output.logits.detach().numpy(),axis =1)
-    st.write("Prediction :",scores)
+    # st.write("Prediction :",scores)