Update app.py

app.py

@@ -9,6 +9,32 @@ import sqlite3
 client = Groq(api_key=os.environ["GROQ_API_KEY"])
 print("API Key:", os.environ.get("GROQ_API_KEY"))  # Debug print
 
+# Define valid_models globally
+valid_models = [
+    "distil-whisper-large-v3-en",
+    "gemma2-9b-it",
+    "llama-3.3-70b-versatile",
+    "llama-3.1-8b-instant",
+    "llama-guard-3-8b",
+    "llama3-70b-8192",
+    "llama3-8b-8192",
+    "mixtral-8x7b-32768",
+    "whisper-large-v3",
+    "whisper-large-v3-turbo",
+    "qwen-qwq-32b",
+    "mistral-saba-24b",
+    "qwen-2.5-coder-32b",
+    "qwen-2.5-32b",
+    "deepseek-r1-distill-qwen-32b",
+    "deepseek-r1-distill-llama-70b-specdec",
+    "deepseek-r1-distill-llama-70b",
+    "llama-3.3-70b-specdec",
+    "llama-3.2-1b-preview",
+    "llama-3.2-3b-preview",
+    "llama-3.2-11b-vision-preview",
+    "llama-3.2-90b-vision-preview"
+]
+
 # Initialize or connect to SQLite database for points
 conn = sqlite3.connect("student_points.db", check_same_thread=False)
 cursor = conn.cursor()
@@ -16,31 +42,6 @@ cursor.execute('''CREATE TABLE IF NOT EXISTS points (student_id TEXT, points INT
 conn.commit()
 
 def generate_tutor_output(subject, grade, student_input, model):
-    # List of supported Groq models (based on your provided list)
-    valid_models = [
-        "distil-whisper-large-v3-en",
-        "gemma2-9b-it",
-        "llama-3.3-70b-versatile",
-        "llama-3.1-8b-instant",
-        "llama-guard-3-8b",
-        "llama3-70b-8192",
-        "llama3-8b-8192",
-        "mixtral-8x7b-32768",
-        "whisper-large-v3",
-        "whisper-large-v3-turbo",
-        "qwen-qwq-32b",
-        "mistral-saba-24b",
-        "qwen-2.5-coder-32b",
-        "qwen-2.5-32b",
-        "deepseek-r1-distill-qwen-32b",
-        "deepseek-r1-distill-llama-70b-specdec",
-        "deepseek-r1-distill-llama-70b",
-        "llama-3.3-70b-specdec",
-        "llama-3.2-1b-preview",
-        "llama-3.2-3b-preview",
-        "llama-3.2-11b-vision-preview",
-        "llama-3.2-90b-vision-preview"
-    ]
     if model not in valid_models:
         model = "mixtral-8x7b-32768"  # Fallback model
         print(f"Invalid model selected: {model}. Using fallback: mixtral-8x7b-32768")