Update app.py

app.py

@@ -456,7 +456,37 @@ def display_terms_with_links(terms):
         links_md = ' '.join([f"[{emoji}]({url(term)})" for emoji, url in search_urls.items()])
         st.markdown(f"- **{term}** {links_md}", unsafe_allow_html=True)
 
-def perform_ai_lookup(query):
+def perform_ai_lookup(query)
+    all=""
+    st.markdown(f"- {query}")
+    
+    # 🔍Run 1 - ArXiv RAG researcher expert ~-<>-~ Paper Summary & Ask LLM
+    client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+    response2 = client.predict(
+            query,	# str  in 'parameter_13' Textbox component
+            #"mistralai/Mixtral-8x7B-Instruct-v0.1",	# Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']  in 'LLM Model' Dropdown component
+            #"mistralai/Mistral-7B-Instruct-v0.2",	# Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']  in 'LLM Model' Dropdown component
+            "google/gemma-7b-it",	# Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']  in 'LLM Model' Dropdown component
+            True,	# bool  in 'Stream output' Checkbox component
+            api_name="/ask_llm"
+    )
+    st.write('🔍Run of Multi-Agent System Paper Summary Spec is Complete')
+    st.markdown(response2)
+
+    # ArXiv searcher ~-<>-~ Paper References - Update with RAG
+    client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+    response1 = client.predict(
+    		query,	
+    		10,	
+    		"Semantic Search - up to 10 Mar 2024",	# Literal['Semantic Search - up to 10 Mar 2024', 'Arxiv Search - Latest - (EXPERIMENTAL)']  in 'Search Source' Dropdown component
+    		"mistralai/Mixtral-8x7B-Instruct-v0.1",	# Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']  in 'LLM Model' Dropdown component
+    		api_name="/update_with_rag_md"
+    )
+    st.write('🔍Run of Multi-Agent System Paper References is Complete')
+    responseall = response2 + response1[0] + response1[1]
+    st.markdown(responseall)
+
+                      
     """Perform AI lookup using Gradio client."""
     st.write("Performing AI Lookup...")
     client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
@@ -477,7 +507,9 @@ def perform_ai_lookup(query):
     st.markdown("### Mistral-7B-Instruct-v0.2 Result")
     st.markdown(result2)
     combined_result = f"{result1}\n\n{result2}"
-    return combined_result
+    #return combined_result
+
+    return responseall
 
 def display_file_content(file_path):
     """Display file content with editing capabilities."""