Update app.py

app.py

@@ -189,6 +189,8 @@ def init_session_state():
         st.session_state.current_language = 'English'
     if 'groq_api_key' not in st.session_state:
         st.session_state.groq_api_key = ''
+    if 'models_loaded' not in st.session_state:
+        st.session_state.models_loaded = False
 
 # Healthcare quotes database
 HEALTHCARE_QUOTES = [
@@ -274,7 +276,7 @@ class HealthcareChatbot:
     
     def get_response(self, user_input, language='English'):
         # If Groq client is available, use it for more intelligent responses
-        if self.groq_client:
+        if self.groq_client and self.groq_client.api_key:
             try:
                 return self._get_groq_response(user_input, language)
             except Exception as e:
@@ -288,12 +290,17 @@ class HealthcareChatbot:
         Provide accurate, culturally appropriate medical advice in a compassionate manner.
         Focus on preventive care, symptom explanation, and when to seek medical attention.
         Always emphasize that you are an AI assistant and recommend consulting healthcare professionals for serious conditions.
-        Be specific, practical, and provide actionable advice."""
+        Be specific, practical, and provide actionable advice.
+        
+        IMPORTANT: Provide detailed, specific answers directly related to the user's query. 
+        Do not give generic responses - tailor your answer specifically to what the user is asking.
+        If they ask about specific symptoms, conditions, or treatments, provide comprehensive information about that topic.
+        Use your medical knowledge to give practical, actionable advice."""
         
         if language == 'Urdu':
-            system_prompt += " Respond in Urdu with proper medical terminology and cultural sensitivity."
+            system_prompt += " Respond in Urdu with proper medical terminology and cultural sensitivity. Provide detailed, specific answers in Urdu."
         else:
-            system_prompt += " Respond in English with clear, professional medical advice."
+            system_prompt += " Respond in English with clear, professional medical advice. Provide detailed, specific answers in English."
         
         messages = [
             {"role": "system", "content": system_prompt},
@@ -995,10 +1002,9 @@ def load_models():
             if os.path.exists(file_path):
                 try:
                     model = joblib.load(file_path)
-                    st.success(f"✅ {model_name} model loaded successfully from {file_path}")
+                    # Success message removed from interface as requested
                     return model
                 except Exception as e:
-                    st.warning(f"⚠️ Error loading {model_name} from {file_path}: {str(e)}")
                     continue
         return None
     
@@ -1200,9 +1206,14 @@ def main():
     local_css()
     init_session_state()
     
-    # Load ML models
-    with st.spinner("🔄 Loading AI models..."):
-        models = load_models()
+    # Load ML models in background without showing messages
+    if not st.session_state.models_loaded:
+        with st.spinner("🔄 Loading AI models..."):
+            models = load_models()
+            st.session_state.models = models
+            st.session_state.models_loaded = True
+    
+    models = st.session_state.models
     
     # Language selector at top right with Pakistan flag colors
     col_lang, col_space = st.columns([1, 5])
@@ -1494,33 +1505,19 @@ def main():
             st.markdown('<h2 style="color: #00401A; border-bottom: 3px solid #00401A; padding-bottom: 10px;">💬 سیحت اے آئی ہیلتھ اسسٹنٹ</h2>', unsafe_allow_html=True)
             st.write("صحت سے متعلق سوالات پوچھیں اور فوری، قابل اعتماد طبی معلومات حاصل کریں")
         
-        # Groq API Configuration
-        with st.expander("🔑 AI Assistant Configuration", expanded=False):
-            st.markdown('<div class="api-key-section">', unsafe_allow_html=True)
-            if language == "English":
-                groq_api_key = st.text_input("Enter Groq API Key:", type="password", 
-                                           value=st.session_state.groq_api_key,
-                                           help="Get your API key from https://console.groq.com")
-                st.caption("💡 Using Groq API enhances response quality with advanced AI. Leave empty for basic rule-based responses.")
-            else:
-                groq_api_key = st.text_input("Groq API کلید درج کریں:", type="password", 
-                                           value=st.session_state.groq_api_key,
-                                           help="API کلید حاصل کریں https://console.groq.com سے")
-                st.caption("💡 Groq API کا استعمال جدید AI کے ساتھ جوابات کی معیار کو بہتر بناتا ہے۔ بنیادی رول بیسڈ جوابات کے لیے خالی چھوڑ دیں۔")
-            st.markdown('</div>', unsafe_allow_html=True)
-            
-            if groq_api_key:
-                st.session_state.groq_api_key = groq_api_key
-                try:
-                    groq_client = GroqClient(groq_api_key)
-                    chatbot = HealthcareChatbot(groq_client)
-                    st.success("✅ Groq API configured successfully! Using advanced AI responses.")
-                except Exception as e:
-                    st.error(f"❌ Error configuring Groq API: {str(e)}")
-                    chatbot = HealthcareChatbot()
-            else:
+        # Groq API Configuration - Hidden from interface as requested
+        # Check if API key is available in environment or secrets
+        groq_api_key = st.secrets.get("GROQ_API_KEY", "") if hasattr(st, 'secrets') else ""
+        
+        if groq_api_key:
+            st.session_state.groq_api_key = groq_api_key
+            try:
+                groq_client = GroqClient(groq_api_key)
+                chatbot = HealthcareChatbot(groq_client)
+            except Exception as e:
                 chatbot = HealthcareChatbot()
-                st.info("ℹ️ Using rule-based health assistant. For enhanced responses, add Groq API key.")
+        else:
+            chatbot = HealthcareChatbot()
         
         # Display chat history
         for message in st.session_state.chat_history: