Update app.py

app.py
19-03-2024, 09:00 CET

app.py

@@ -1,3 +1,26 @@
+# app.py - 19-03-2024
+
+# STREAMLIT:
+# https://www.datacamp.com/tutorial/streamlit:
+#
+# st.title(): This function allows you to add the title of the app. 
+# st.header(): This function is used to set header of a section. 
+# st.markdown(): This function is used to set a markdown of a section. 
+# st.subheader(): This function is used to set sub-header of a section. 
+# st.caption(): This function is used to write caption. 
+# st.code(): This function is used to set a code. 
+# st.latex(): This function is used to display mathematical expressions formatted as LaTeX.
+# 
+# st.title ("this is the app title")
+# st.header("this is the header ")
+# st.markdown("this is the markdown")
+# st.subheader("this is the subheader")
+# st.caption("this is the caption")
+# st.code("x=2021")
+# st.latex(r''' a+a r^1+a r^2+a r^3 ''')
+
+
+
 # JB:
 # LangChainDeprecationWarning: Importing embeddings from langchain is deprecated. 
 # Importing from langchain will no longer be supported as of langchain==0.2.0.
@@ -46,27 +69,29 @@ groq_api_key = "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" # os.e
 print("groq_api_key: ", groq_api_key)
 
 # st.title("Chat with Docs - Groq Edition :) ")
-st.write("NonToxicGlazeAdvisor: A tool for getting advice on non-toxic ceramic glazes for earthenware temperature ranges.")
-st.write("Victor Benchuijsen  : (Glaze techniques / Ceramics)")
-st.write("Jan Bours           : Artificial Intelligence / Data Science / Natural Language Processing (ALL RIGHTS RESERVED)")
+# # st.title ("this is the app title")
+st.title("Non-Toxic Glaze Advisor:")
+st.title("A tool for getting advice on non-toxic ceramic glazes for earthenware temperature ranges.")
+st.title("Victor Benchuijsen  : (Glaze techniques / Ceramics)")
+st.title("Jan Bours           : Artificial Intelligence / Data Science / Natural Language Processing (ALL RIGHTS RESERVED)")
 st.write("---------------------------------")
-st.write("Chat with Docs - Using AI: 'mixtral-8x7b-32768' Groq Edition (Very Fast!) - VERSION 1 - March 18, 2024")
+st.header("Chat with Docs - Using AI: 'mixtral-8x7b-32768' Groq Edition (Very Fast!) - VERSION 1 - March 18, 2024")
 st.write("---------------------------------")
 
-st.write("LIST OF ALL THE LOADED DOCUMENTS: ")
+st.header("LIST OF ALL THE LOADED DOCUMENTS: ")
 st.write("")
 pdf_files  = glob.glob("*.pdf")
 # word_files = glob.glob("*.docx")
 for file in pdf_files:
 # for file in word_files:
-    st.write(file)
+    st.subheader(file)
 
 st.write("---------------------------------")
 
 if "vector" not in st.session_state:
 
-    st.write("Chunking, embedding, storing in FAISS vectorstore (Can take a long time!).")
-    st.write("Wait till this hase been done before you can enter your query! .......")
+    st.header("Chunking, embedding, storing in FAISS vectorstore (Can take a long time!).")
+    st.subheader("Wait till this hase been done before you can enter your query! .......")
     
     # st.session_state.embeddings = OllamaEmbeddings() # ORIGINAL
     st.session_state.embeddings = FastEmbedEmbeddings() # JB