fix: Extract string value from prediction array

frontend/app.py

@@ -189,7 +189,7 @@ else:
             symptoms_vectorized = st.session_state.vectorizer.transform([preprocessed_symptoms])
             # Use the loaded model for prediction
             prediction = st.session_state.model_llm.predict(symptoms_vectorized)  # Use the model, not the array
-            return prediction[0]
+            return prediction[0]  # Extract the string value from the array
         else:
             st.error("Unable to make prediction. Vectorizer or LLM model is not loaded.")
             return None