init

app.py

@@ -78,33 +78,33 @@ def extract_point_of_view(text):
     return point_of_view
 
 # Streamlit application
-st.title("Text Analysis Application")
+st.title("LinkedIn Post Analysis AI")
 
-text = st.text_area("Enter your text here:")
+text = st.text_area("Enter the LinkedIn Post:")
 
-if st.button("Analyze"):
+if st.button("Analyze:"):
     if text:
         # Generate tags
         tags = generate_tags(text)
-        st.subheader("Generated Tags")
+        st.subheader("The Most Tracked KeyWords:")
         st.write(tags)
 
         # Generate summaries
         summary1 = generate_summary(text, 'summary: ')
         summary2 = generate_summary(text, 'summary brief: ')
-        st.subheader("Summary 1")
+        st.subheader("Summary Title 1:")
         st.write(summary1)
-        st.subheader("Summary 2")
+        st.subheader("Summary Title 2:")
         st.write(summary2)
 
         # Generate hashtags
         hashtags = generate_hashtags(text)
-        st.subheader("Generated Hashtags")
+        st.subheader("Generated Hashtags for the Post")
         st.write(hashtags)
 
         # Extract point of view
         point_of_view = extract_point_of_view(text)
-        st.subheader("Point of View")
+        st.subheader("Tone of the Post:")
         st.write(point_of_view)
     else:
         st.warning("Please enter text to analyze.")