Update app.py

app.py

@@ -11,7 +11,7 @@ st.subheader(":point_left: Use the menu on the left to select a NLP task (click
 expander = st.sidebar.expander("About")
 expander.write("This web app allows you to perform common Natural Language Processing tasks, select a task below to get started.")
 
-st.sidebar.header("What will you like to do?")
+st.sidebar.header("Select Task")
 option = st.sidebar.radio("", ["Extractive question answering", "Text summarization", "Text generation"])
 
 @st.cache(show_spinner=False, allow_output_mutation=True)
@@ -33,7 +33,7 @@ def generation_model():
     return generator
 
 if option == "Extractive question answering":
-    st.markdown("<h2 style='text-align: center; color:grey;'>Extract answer from text</h2>", unsafe_allow_html=True)
+    st.markdown("<h2 style='text-align: center; color:grey;'>Extractive Question Answering</h2>", unsafe_allow_html=True)
     st.markdown("<h3 style='text-align: left; color:#F63366; font-size:18px;'><b>What is extractive question answering about?<b></h3>", unsafe_allow_html=True)
     st.write("Extractive Question Answering is a part of Natural Language Processing where textual context is provided for a model so that the model can refer to it and make predictions about where the answer to a question is inside the text.")
     source = st.radio("How would you like to start? Choose an option below", ["I want to input some text", "I want to upload a file"])
@@ -67,7 +67,7 @@ if option == "Extractive question answering":
                     st.text(answer)
 
 elif option == "Text summarization":
-    st.markdown("<h2 style='text-align: center; color:grey;'>Summarize text</h2>", unsafe_allow_html=True)
+    st.markdown("<h2 style='text-align: center; color:grey;'>Text Summarization</h2>", unsafe_allow_html=True)
     source = st.radio("How would you like to start? Choose an option below", ["I want to input some text", "I want to upload a file"])
     if source == "I want to input some text":
         with open("sample.txt", "r") as text_file:
@@ -95,7 +95,7 @@ elif option == "Text summarization":
                     st.text(summary[0]["summary_text"])
                 
 elif option == "Text generation":
-    st.markdown("<h2 style='text-align: center; color:grey;'>Generate text</h2>", unsafe_allow_html=True)
+    st.markdown("<h2 style='text-align: center; color:grey;'>Text Generation</h2>", unsafe_allow_html=True)
     text = st.text_input(label="Enter one line of text and let the NLP model generate the rest for you")
     button = st.button("Generate text")
     if button: