Update app.py

app.py

@@ -90,7 +90,7 @@ def search_arxiv(query):
     st.title("▶️ Semantic and Episodic Memory System")
     client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
     search_query = query
-    top_n_results = st.slider(key='topnresults', "Top n results as context", min_value=4, max_value=100, value=100)
+    top_n_results = st.slider(key='topnresults', label="Top n results as context", min_value=4, max_value=100, value=100)
     search_source = st.selectbox("Search Source", ["Semantic Search - up to 10 Mar 2024", "Arxiv Search - Latest - (EXPERIMENTAL)"])
     llm_model = st.selectbox("LLM Model", ["mistralai/Mixtral-8x7B-Instruct-v0.1", "mistralai/Mistral-7B-Instruct-v0.2", "google/gemma-7b-it", "None"])
     
@@ -1346,7 +1346,7 @@ What is SORA?
         
         collength, colupload = st.columns([2,3])  # adjust the ratio as needed
         with collength:
-            max_length = st.slider(key='maxlength', "File section length for large files", min_value=1000, max_value=128000, value=12000, step=1000)
+            max_length = st.slider(key='maxlength', label="File section length for large files", min_value=1000, max_value=128000, value=12000, step=1000)
         with colupload:
             uploaded_file = st.file_uploader("Add a file for context:", type=["pdf", "xml", "json", "xlsx", "csv", "html", "htm", "md", "txt"])
         document_sections = deque()