Update app.py

app.py

@@ -1332,8 +1332,8 @@ def StreamMedChatResponse(topic):
 
 # 17. Main
 def arxivmain():
+    
     prompt = '''
-
 What is MoE?
 What are Multi Agent Systems?
 What is Self Rewarding AI?
@@ -1342,26 +1342,39 @@ What is AutoGen?
 What is ChatDev?
 What is Omniverse?
 What is Lumiere?
-What is SORA?
-
-    
+What is SORA?  
     '''
+    
     with st.expander("Prompts 📚", expanded=True):
+        #example_input = st.text_input("Enter your prompt text:", value=prompt, help="Enter text to get a response.")
+        #example_input = st.text_area("Enter Prompt :", '', height=100
+        
+        # Search History Text Input
+        session_state = {}
+        if "search_queries" not in session_state:
+            session_state["search_queries"] = []
+        example_input = st.text_input("Search", value=session_state["search_queries"][-1] if session_state["search_queries"] else "")
+        if search_query:
+            session_state["search_queries"].append(search_query)
+        st.write("Search history:")
+        for search_query in session_state["search_queries"]:
+            st.write(search_query)
 
-
-        example_input = st.text_input("Enter your prompt text:", value=prompt, help="Enter text to get a response.")
         if st.button("Run Prompt", help="Click to run."):
             try:
                 response=StreamLLMChatResponse(example_input)
                 create_file(filename, example_input, response, should_save)
             except:
                 st.write('model is asleep. Starting now on A10 GPU.  Please wait one minute then retry.  KEDA triggered.')
+                
         openai.api_key = os.getenv('OPENAI_API_KEY')
         if openai.api_key == None: openai.api_key = st.secrets['OPENAI_API_KEY']
         menu = ["txt", "htm", "xlsx", "csv", "md", "py"]
         choice = st.sidebar.selectbox("Output File Type:", menu)
         model_choice = st.sidebar.radio("Select Model:", ('gpt-3.5-turbo', 'gpt-3.5-turbo-0301'))        
         user_prompt = st.text_area("Enter prompts, instructions & questions:", '', height=100)
+
+        
         collength, colupload = st.columns([2,3])  # adjust the ratio as needed
         with collength:
             max_length = st.slider("File section length for large files", min_value=1000, max_value=128000, value=12000, step=1000)
@@ -1391,6 +1404,7 @@ What is SORA?
                         filename = generate_filename(f"{user_prompt}_section_{i+1}", choice)
                         create_file(filename, user_prompt, response, should_save)
                         st.sidebar.markdown(get_table_download_link(filename), unsafe_allow_html=True)
+                        
         if st.button('💬 Chat'):
             st.write('Reasoning with your inputs...')
             user_prompt_sections = divide_prompt(user_prompt, max_length)