Update app.py

app.py

@@ -10,17 +10,25 @@ st.markdown("Paste your Qiskit code below and let an LLM find and fix bugs.")
 # Sidebar for API keys
 with st.sidebar:
     st.header("API Configuration")
-    openai_api_key = st.text_input("OpenAI API Key", type="password", help="Required for GPT-4")
+    openai_api_key = st.text_input("OpenAI API Key", type="password", help="Required for GPT-5 Mini")
     hf_api_key = st.text_input("HuggingFace API Key", type="password", help="Required for HF models")
 
 # Code input
 code_input = st.text_area("Qiskit Code Input", height=300, placeholder="Paste your Qiskit code here...")
 
 # Backend selection
-model_choice = st.selectbox("Choose LLM Backend", ["GPT-4 (OpenAI)", "Granite-8B-Qiskit (HF)", "Code Llama (HF)"])
+model_choice = st.selectbox("Choose LLM Backend", ["GPT-5 Mini (OpenAI)", "Granite-8B-Qiskit (HF)", "Code Llama (HF)"])
 
-def query_gpt4(code, api_key):
-    """Query OpenAI GPT-4 for code fixing"""
+def query_gpt5_mini(code, api_key):
+    """
+    Query OpenAI GPT-5 Mini for code fixing
+    
+    GPT-5 Mini (gpt-5-mini-2025-08-07) is a compact reasoning model with:
+    - 400K token context window
+    - Does NOT support 'temperature' parameter (reasoning models use default temperature=1)
+    - Uses 'max_completion_tokens' instead of 'max_tokens'
+    - Supports parameters: max_completion_tokens, include_reasoning, max_output_tokens
+    """
     try:
         client = OpenAI(api_key=api_key)
         
@@ -52,14 +60,13 @@ EXPLANATION:
                 {"role": "system", "content": "You are a Qiskit debugging expert."},
                 {"role": "user", "content": prompt}
             ],
-            temperature=0.3,
-            max_tokens=2000
+            max_completion_tokens=2000
         )
         
         return response.choices[0].message.content
     
     except Exception as e:
-        return f"Error querying GPT-4: {str(e)}"
+        return f"Error querying GPT-5 Mini: {str(e)}"
 
 def query_huggingface(code, api_key, model_name):
     """Query HuggingFace models for code fixing"""
@@ -110,10 +117,10 @@ Identify bugs and provide corrected code. [/INST]"""
 
 def query_llm(model, code, openai_key=None, hf_key=None):
     """Main router function for LLM queries"""
-    if model == "GPT-4 (OpenAI)":
+    if model == "GPT-5 Mini (OpenAI)":
         if not openai_key:
             return "❌ Error: OpenAI API key required. Please enter it in the sidebar."
-        return query_gpt4(code, openai_key)
+        return query_gpt5_mini(code, openai_key)
     
     elif model in ["Granite-8B-Qiskit (HF)", "Code Llama (HF)"]:
         if not hf_key: