Update app.py

app.py

@@ -209,7 +209,8 @@ def search_glossary(query):
         # 🕵️‍♂️ Searching the glossary for: query
         all_results = ""
         st.markdown(f"- {query}")
-    
+
+        
         #database_choice Literal['Semantic Search', 'Arxiv Search - Latest - (EXPERIMENTAL)'] Default: "Semantic Search"
         #llm_model_picked Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None'] Default: "mistralai/Mistral-7B-Instruct-v0.2"
     
@@ -222,23 +223,19 @@ def search_glossary(query):
     		llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
             api_name="/update_with_rag_md"
         )
-        st.code(response2, language="python", *, line_numbers=True, wrap_lines=False)
+        st.code(response2, language="python", line_numbers=True)
 
+        
         #llm_model_picked Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None'] Default: "mistralai/Mistral-7B-Instruct-v0.2"
-        # ArXiv searcher ~-<>-~ Paper References - Update with RAG
-        # client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+
         result = client.predict(
     		prompt=query,
     		llm_model_picked="mistralai/Mistral-7B-Instruct-v0.2",
     		stream_outputs=True,
     		api_name="/ask_llm"
         )
-        #st.write('🔍 Run of Multi-Agent System Paper Summary Spec is Complete')
-        st.code(result, language="python", *, line_numbers=True, wrap_lines=False)
+        st.code(response2, language="python", line_numbers=True)
 
-        
-        # ArXiv searcher ~-<>-~ Paper References - Update with RAG
-        # client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
         response1 = client.predict(
             query,	
             10,	
@@ -246,7 +243,7 @@ def search_glossary(query):
             "mistralai/Mixtral-8x7B-Instruct-v0.1",	# LLM Model Dropdown component
             api_name="/update_with_rag_md"
         )
-        st.code(response1, language="python", *, line_numbers=True, wrap_lines=False)
+        st.code(result, language="python", *, line_numbers=True, wrap_lines=False)
 
         
         # ArXiv searcher - Paper Summary & Ask LLM