modify app.py adapt to enter api

app.py

@@ -97,18 +97,22 @@ def main():
 
         # LLM Settings
         st.subheader("LLM Settings")
+
+        base_url = st.text_input("Base URL", value="https://api.example.com")
+        api_key = st.text_input("API Key", type="password")
+
         opt_model = st.selectbox(
-            "Optimization Model", ["claude-3-5-sonnet-20240620", "gpt-4o", "gpt-4o-mini", "deepseek-chat"], index=0
+            "Optimization Model", ["gpt-4o-mini", "gpt-4o", "deepseek-chat"], index=0
         )
         opt_temp = st.slider("Optimization Temperature", 0.0, 1.0, 0.7)
 
         eval_model = st.selectbox(
-            "Evaluation Model", ["gpt-4o-mini", "claude-3-5-sonnet-20240620", "gpt-4o", "deepseek-chat"], index=0
+            "Evaluation Model", ["gpt-4o-mini", "gpt-4o", "deepseek-chat"], index=0
         )
         eval_temp = st.slider("Evaluation Temperature", 0.0, 1.0, 0.3)
 
         exec_model = st.selectbox(
-            "Execution Model", ["gpt-4o-mini", "claude-3-5-sonnet-20240620", "gpt-4o", "deepseek-chat"], index=0
+            "Execution Model", ["gpt-4o-mini", "gpt-4o", "deepseek-chat"], index=0
         )
         exec_temp = st.slider("Execution Temperature", 0.0, 1.0, 0.0)
 
@@ -202,9 +206,9 @@ def main():
             try:
                 # Initialize LLM
                 SPO_LLM.initialize(
-                    optimize_kwargs={"model": opt_model, "temperature": opt_temp},
-                    evaluate_kwargs={"model": eval_model, "temperature": eval_temp},
-                    execute_kwargs={"model": exec_model, "temperature": exec_temp},
+                    optimize_kwargs={"model": opt_model, "temperature": opt_temp, "base_url": base_url, "api_key": api_key},
+                    evaluate_kwargs={"model": eval_model, "temperature": eval_temp, "base_url": base_url, "api_key": api_key},
+                    execute_kwargs={"model": exec_model, "temperature": exec_temp, "base_url": base_url, "api_key": api_key},
                 )
 
                 # Create optimizer instance
@@ -252,9 +256,12 @@ def main():
                 try:
                     with st.spinner("Generating response..."):
                         SPO_LLM.initialize(
-                            optimize_kwargs={"model": opt_model, "temperature": opt_temp},
-                            evaluate_kwargs={"model": eval_model, "temperature": eval_temp},
-                            execute_kwargs={"model": exec_model, "temperature": exec_temp},
+                            optimize_kwargs={"model": opt_model, "temperature": opt_temp, "base_url": base_url,
+                                             "api_key": api_key},
+                            evaluate_kwargs={"model": eval_model, "temperature": eval_temp, "base_url": base_url,
+                                             "api_key": api_key},
+                            execute_kwargs={"model": exec_model, "temperature": exec_temp, "base_url": base_url,
+                                            "api_key": api_key},
                         )
 
                         llm = SPO_LLM.get_instance()