Update app.py

app.py

@@ -87,7 +87,7 @@ def prepare_conversation(vectorstore):
     # llm = ChatOpenAI()
     #  llm = HuggingFaceHub(repo_id="google/flan-t5-xxl", model_kwargs={"temperature":0.5, "max_length":512})
     #  google/bigbird-roberta-base     facebook/bart-large
-    llm = HuggingFaceHub(repo_id="google/flan-t5-xxl", model_kwargs={"temperature": 0.5, "max_length": 512})
+    llm = HuggingFaceHub(repo_id="google/flan-t5-xxl", model_kwargs={"temperature": 0.7, "max_length": 512})
 
     memory = ConversationBufferMemory(
         memory_key='chat_history', return_messages=True)
@@ -132,6 +132,8 @@ def process_user_question(user_question):
 
     for i, message in enumerate(st.session_state.chat_history):
 
+        #  Scrolling looses the last printed line, only print the last 6 lines
+        #
         print('results_size on msg: ', results_size, i, ( results_size - 6 ) )
         if results_size > 6:
             if i < ( results_size - 6 ):
@@ -196,7 +198,7 @@ def main():
     st.header("Pennwick File Analyzer 2")
 
     user_question = None
-    user_question = st.text_input("Ask the Model a question about your uploaded documents:")
+    user_question = st.text_input("Ask the Open Source - Flan-t5 Model a question about your uploaded documents:")
     if user_question != None:
         print( 'calling process question', user_question)
         process_user_question(user_question)
@@ -208,12 +210,14 @@ def main():
 
     with st.sidebar:
 
-        st.subheader("Your documents")
+        st.subheader("Which documents would you like to analyze?")
+        st.subheader("(no data is saved beyond the session)")
+        
         pdf_docs = st.file_uploader(
-            "Upload your PDFs here and click on 'Process'", accept_multiple_files=True)
+            "Upload your PDF documents here and click on 'Analyze'", accept_multiple_files=True)
 
         # Upon button press
-        if st.button("Process these files"):
+        if st.button("Analyze these files"):
             with st.spinner("Processing..."):
 
                 #################################################################