Update flask_app.py

flask_app.py

@@ -143,38 +143,7 @@ def tts_proxy():
     except Exception as e:
         return jsonify({"error": f"Failed to generate audio via gTTS: {e}"}), 500
 
-@app.route('/explain-proxy', methods=['POST'])
-def explain_proxy():
-    data = request.get_json()
-    model_provider, model_name = data.get('model', 'gemini:gemini-2.5-flash-latest').split(':', 1)
-    context_focus = data.get('context_focus', 'General/Social')
-    custom_prompt = data.get('custom_prompt', None)
-    word = data.get('word', '').strip()
-    context = data.get('context', '')
-    for_flashcard = data.get('for_flashcard', False)
-
-    if (model_provider == 'gemini' and not genai_client) or (model_provider == 'groq' and not groq_client):
-        return jsonify({"error": f"{model_provider.upper()}_API_KEY not configured."}), 503
-    
-    system_instruction_base = f"You are a professional English tutor. The user's study focus is '{context_focus}'. All your responses must be in ENGLISH."
-    try:
-        if custom_prompt:
-            activity_text = get_ai_text_response(model_provider, model_name, system_instruction_base, custom_prompt)
-            return jsonify({"explanation": activity_text})
-        
-        if not word: return jsonify({"error": "No word selected."}), 400
-        
-        if for_flashcard:
-            schema = {"type": "object", "properties": {"term": {"type": "string"}, "translation": {"type": "string"}, "context_sentence": {"type": "string"}, "gapped_sentence": {"type": "string"}, "definition": {"type": "string"}}, "required": ["term", "translation", "context_sentence", "gapped_sentence", "definition"]}
-            prompt = f"Analyze '{word}' in context: '{context}'. Generate a JSON for a flashcard. The 'gapped_sentence' must replace '{word}' with '______________'."
-            return jsonify(get_ai_text_response(model_provider, model_name, system_instruction_base, prompt, json_schema=schema))
-        else:
-            prompt = f"Analyze '{word}' in context: '{context}'. Provide a one-sentence English explanation, then '---', then the Portuguese translation."
-            parts = get_ai_text_response(model_provider, model_name, system_instruction_base, prompt).split('---', 1)
-            return jsonify({"explanation": parts[0].strip(), "translation": parts[1].strip() if len(parts) > 1 else 'N/A'})
-    except Exception as e:
-        print(f"AI ANALYSIS ERROR in /explain-proxy: {e}")
-        return jsonify({"error": f"AI analysis failed: {e}"}), 500
+# Primeira função explain_proxy removida - duplicata
 
 @app.route('/activity-feedback', methods=['POST'])
 def activity_feedback():