Update app.py

app.py

@@ -88,11 +88,15 @@ def search_arxiv(query):
     
     # Show ArXiv Scholary Articles! ----------------*************-------------***************----------------------------------------
     st.title("▶️ Semantic and Episodic Memory System")
-    client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+        client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+    
     search_query = query
     #top_n_results = st.slider(key='topnresults', label="Top n results as context", min_value=4, max_value=100, value=100)
-    search_source = st.sidebar.selectbox(key='searchsource', label="Search Source", args=["Semantic Search - up to 10 Mar 2024", "Arxiv Search - Latest - (EXPERIMENTAL)"])
-    llm_model = st.sidebar.selectbox(key='llmmodel', label="LLM Model", ["mistralai/Mixtral-8x7B-Instruct-v0.1", "mistralai/Mistral-7B-Instruct-v0.2", "google/gemma-7b-it", "None"])
+    #search_source = st.sidebar.selectbox(key='searchsource', label="Search Source", ["Semantic Search - up to 10 Mar 2024", "Arxiv Search - Latest - (EXPERIMENTAL)"])
+    search_source = "Arxiv Search - Latest - (EXPERIMENTAL)" # "Semantic Search - up to 10 Mar 2024"
+    #llm_model = st.sidebar.selectbox(key='llmmodel', label="LLM Model", ["mistralai/Mixtral-8x7B-Instruct-v0.1", "mistralai/Mistral-7B-Instruct-v0.2", "google/gemma-7b-it", "None"])
+    llm_model = "mistralai/Mixtral-8x7B-Instruct-v0.1"
+
     st.sidebar.markdown('### 🔎 ' + query)
     result = client.predict(
         search_query,