Update app.py

app.py

@@ -45,23 +45,23 @@ def respond(message, history, model, approach, system_message, max_tokens, tempe
         system_prompt = system_message
         initial_query = message
         if approach == 'rto':
-            final_response = round_trip_optimization(system_prompt, initial_query, client, model)
+            final_response, _ = round_trip_optimization(system_prompt, initial_query, client, model)
         elif approach == 'z3':
             z3_solver = Z3SolverSystem(system_prompt, client, model)
-            final_response = z3_solver.process_query(initial_query)
+            final_response, _ = z3_solver.process_query(initial_query)
         elif approach == "self_consistency":
-            final_response = advanced_self_consistency_approach(system_prompt, initial_query, client, model)
+            final_response, _ = advanced_self_consistency_approach(system_prompt, initial_query, client, model)
         elif approach == "rstar":
             rstar = RStar(system_prompt, client, model)
-            final_response = rstar.solve(initial_query)
+            final_response, _ = rstar.solve(initial_query)
         elif approach == "cot_reflection":
-            final_response = cot_reflection(system_prompt, initial_query, client, model)
+            final_response, _ = cot_reflection(system_prompt, initial_query, client, model)
         elif approach == 'plansearch':
-            final_response = plansearch(system_prompt, initial_query, client, model)[0]
+            final_response, _ = plansearch(system_prompt, initial_query, client, model)[0]
         elif approach == 'leap':
-            final_response = leap(system_prompt, initial_query, client, model)
+            final_response, _ = leap(system_prompt, initial_query, client, model)
         elif approach == 're2':
-            final_response = re2_approach(system_prompt, initial_query, client, model)
+            final_response, _ = re2_approach(system_prompt, initial_query, client, model)
         
     return final_response
 
@@ -79,11 +79,11 @@ def respond(message, history, model, approach, system_message, max_tokens, tempe
 
 def create_model_dropdown():
     return gr.Dropdown(
-        ["nousresearch/hermes-3-llama-3.1-405b:free", "meta-llama/llama-3.1-8b-instruct:free", 
-         "qwen/qwen-2-7b-instruct:free", "google/gemma-2-9b-it:free", "mistralai/mistral-7b-instruct:free",
-        "mistralai/pixtral-12b:free", "qwen/qwen-2-vl-7b-instruct:free", "google/gemini-flash-8b-1.5-exp",
+        [ "meta-llama/llama-3.1-8b-instruct:free", "nousresearch/hermes-3-llama-3.1-405b:free",
+          "mistralai/mistral-7b-instruct:free","mistralai/pixtral-12b:free",
+         "qwen/qwen-2-7b-instruct:free", "qwen/qwen-2-vl-7b-instruct:free", "google/gemma-2-9b-it:free", "google/gemini-flash-8b-1.5-exp",
         "google/gemini-flash-1.5-exp", "google/gemini-pro-1.5-exp"],
-        value="nousresearch/hermes-3-llama-3.1-405b:free", label="Model"
+        value="meta-llama/llama-3.1-8b-instruct:free", label="Model"
     )
 
 def create_approach_dropdown():