Update app.py

app.py

@@ -6,11 +6,12 @@ import io
 import google.generativeai as genai
 
 # --- API Keys (Set as environment variables for security!) ---
-genai.configure(api_key=os.environ.get("GOOGLE_API_KEY"))  # Gemini API Key
+genai_api_key = os.environ.get("GOOGLE_API_KEY")  # Gemini API Key
 elevenlabs_api_key = os.environ.get("ELEVENLABS_API_KEY")
 
 #elevenlabs.set_api_key(elevenlabs_api_key)
 elevenlabs.API_KEY = elevenlabs_api_key
+client = genai.Client(api_key=genai_api_key)
 
 # --- ElevenLabs Voice ---
 voice = "Bella"  # Choose a voice from ElevenLabs
@@ -31,13 +32,25 @@ model = genai.GenerativeModel('gemini-pro', generate_response_clause=genai.types
 def generate_question(difficulty):
     """Generates a Arabic question based on difficulty using Gemini."""
     prompt = f"Generate a simple {target_language} question for a language learner at difficulty level {difficulty}. Just the question, no extra text."
-    response = model.generate_content(prompt)
+    response = client.models.generate_content(
+        model="gemini-2.0-flash",
+        contents=prompt,
+        config=types.GenerateContentConfig(temperature=0.95)
+    )
+    
+    #response = model.generate_content(prompt)
     return response.text.strip()
 
 def evaluate_answer(question, answer):
     """Evaluates the user's answer using Gemini."""
     prompt = f"You are a Arabic language tutor. Evaluate the following answer to the question: '{question}'. Answer: '{answer}'. Provide feedback on grammar, vocabulary, and fluency. Keep the feedback concise (under 50 words). Also, give a score from 1-5 (1 being very poor, 5 being excellent)."
-    response = model.generate_content(prompt)
+    #response = model.generate_content(prompt)
+    response = client.models.generate_content(
+        model="gemini-2.0-flash",
+        contents=prompt,
+        config=types.GenerateContentConfig(temperature=0.1)
+    )
+    
     return response.text.strip()
 
 def text_to_speech(text, voice):