minor changes

app.py

@@ -30,20 +30,20 @@ def predict_query(input_sentence,max_len=40,temp=0.7):
       print(f"Sugestion{i} :{out}")
       pred.append(out)
     return pred
-# option = st.selectbox(
+# option = st.selectbox( 
 #     'Please Select option',
 #    ('Predictive writing',"None"),index=1)
 
 
 st.title("Text2SQL")
-st.write('### Generate SQL Query with just Natural Language sentence')
+st.write('### Generate SQL Query with Natural Language sentence')
 st.sidebar.markdown(
     '''            
-    ## This is a demo of a text generation model trained with GPT-2 
+    ## Select Hyperparameters
 ''')
-max_len = st.sidebar.slider(label='Output Size', min_value=1, max_value=150, value=10, step=1)
+max_len = st.sidebar.slider(label='Output Size', min_value=1, max_value=150, value=40, step=1)
 # samples = st.sidebar.slider(label='Number of Samples', min_value=1, max_value=50, value=10, step=1)
-temp = st.sidebar.slider(label='Temperature', min_value=0.0, max_value=2.0, value=0.8, step=0.1)
+temp = st.sidebar.slider(label='Temperature (Creativity)', min_value=0.0, max_value=2.0, value=0.7, step=0.1)
 # temp = st.sidebar.slider(label='Temperature', min_value=0.1, max_value=1.0, value=5.0, step=0.05)
 # do_sample=st.sidebar.checkbox("do_sample")
 
@@ -54,8 +54,9 @@ temp = st.sidebar.slider(label='Temperature', min_value=0.0, max_value=2.0, valu
 # do_sample=st.checkbox("do_sample")
 # print(max_len)
 sentence = st.text_area('Input your sentence here:') 
-clear=st.button("Clear")
+st.write('### Example: "Calculate Average Salary of Employee"')
 Enter=st.button("Generate")
+clear=st.button("Clear")
 
 if clear:
     print(clear)