Update app.py

app.py

@@ -13,7 +13,7 @@ st.set_page_config(
     page_icon="📊",
 )
 
-st.write("# KPMG VISUAL GPT 📊")
+st.write("# KPMG Analytics")
 
 st.sidebar.write("## Setup")
 
@@ -21,7 +21,7 @@ st.sidebar.write("## Setup")
 openai_key = os.getenv("OPENAI_API_KEY")
 
 if not openai_key:
-    openai_key = st.sidebar.text_input("Enter OpenAI API key:")
+    openai_key = st.sidebar.text_input("Enter your  key:")
     if openai_key:
         display_key = openai_key[:2] + "*" * (len(openai_key) - 5) + openai_key[-3:]
         st.sidebar.write(f"Current key: {display_key}")
@@ -44,7 +44,7 @@ if openai_key:
 
     # select model from gpt-4 , gpt-3.5-turbo, gpt-3.5-turbo-16k
     st.sidebar.write("## Text Generation Model")
-    models = ["gpt-4", "gpt-3.5-turbo", "gpt-3.5-turbo-16k"]
+    models = ["gpt4", "gpt-3.5-turbo", "gpt-3.5-turbo-16k"]
     selected_model = st.sidebar.selectbox(
         'Choose a model',
         options=models,
@@ -114,7 +114,7 @@ if openai_key:
     summarization_methods = [
         {"label": "llm",
          "description":
-         "Uses the LLM to generate annotate the default summary, adding details such as semantic types for columns and dataset description"},
+         "Uses the AI to generate annotate the default summary, adding details such as semantic types for columns and dataset description"},
         {"label": "default",
          "description": "Uses dataset column statistics and column names as the summary"},
 
@@ -149,7 +149,7 @@ if openai_key and selected_dataset and selected_method:
         use_cache=use_cache)
 
     st.write("## Summary")
-    # **** lida.summarize *****
+    # **** .summarize *****
     summary = lida.summarize(
         selected_dataset,
         summary_method=selected_method,
@@ -215,7 +215,7 @@ if openai_key and selected_dataset and selected_method:
         # Step 5 - Generate visualizations
         if selected_goal_object:
             st.sidebar.write("## Visualization Library")
-            visualization_libraries = ["seaborn", "matplotlib", "plotly"]
+            visualization_libraries = ["", "matplotlib", "plotly"]
 
             selected_library = st.sidebar.selectbox(
                 'Choose a visualization library',