kill submit button

app.py

@@ -59,29 +59,26 @@ special_threshold = st.sidebar.number_input(
 st.sidebar.success(
     "The 'distances' score indicates the proximity of your question to our database questions (lower is better). The 'ai_judge' ranks the similarity between user's question and database answers independently (higher is better)."
 )
-submit_button = st.sidebar.button("Submit", type="primary")
 clear_button = st.sidebar.button("Clear Conversation", key="clear")
 if clear_button:
     st.session_state.messages = []
 
 
 # Load the dataset from a provided source.
-initial_input = "Please press the submit button!"
-if submit_button:
-    if option == "YSA":
-        begin_t = time.time()
-        dataset = load_dataset(
-            "eagle0504/youthless-homeless-shelter-web-scrape-dataset-qa-formatted"
-        )
-        end_t = time.time()
-        st.success(f"{option} Database loaded. | Time: {end_t - begin_t} sec")
-        initial_input = "Tell me about YSA"
-    else:
-        begin_t = time.time()
-        dataset = load_dataset("eagle0504/larkin-web-scrape-dataset-qa-formatted")
-        end_t = time.time()
-        st.success(f"{option} Database loaded. | Time: {end_t - begin_t} sec")
-        initial_input = "Tell me about Larkin"
+if option == "YSA":
+    begin_t = time.time()
+    dataset = load_dataset(
+        "eagle0504/youthless-homeless-shelter-web-scrape-dataset-qa-formatted"
+    )
+    end_t = time.time()
+    st.success(f"{option} Database loaded. | Time: {end_t - begin_t} sec")
+    initial_input = "Tell me about YSA"
+else:
+    begin_t = time.time()
+    dataset = load_dataset("eagle0504/larkin-web-scrape-dataset-qa-formatted")
+    end_t = time.time()
+    st.success(f"{option} Database loaded. | Time: {end_t - begin_t} sec")
+    initial_input = "Tell me about Larkin"
 
 
 # Initialize a new client for ChromeDB.
@@ -103,17 +100,17 @@ collection = client.create_collection(combined_string)
 
 
 # Embed and store the first N supports for this demo
-if submit_button:
-    with st.spinner("Loading, please be patient with us ... 🙏"):
-        L = len(dataset["train"]["questions"])
-        begin_t = time.time()
-        collection.add(
-            ids=[str(i) for i in range(0, L)],  # IDs are just strings
-            documents=dataset["train"]["questions"],  # Enter questions here
-            metadatas=[{"type": "support"} for _ in range(0, L)],
-        )
-        end_t = time.time()
-        st.success(f"Add to VectorDB. | Time: {end_t - begin_t} sec")
+with st.spinner("Loading, please be patient with us ... 🙏"):
+    # L = len(dataset["train"]["questions"])
+    L = 30
+    begin_t = time.time()
+    collection.add(
+        ids=[str(i) for i in range(0, L)],  # IDs are just strings
+        documents=dataset["train"]["questions"],  # Enter questions here
+        metadatas=[{"type": "support"} for _ in range(0, L)],
+    )
+    end_t = time.time()
+    st.success(f"Add to VectorDB. | Time: {end_t - begin_t} sec")
 
 
 # React to user input