Delete agent.py

agent.py

@@ -1,52 +0,0 @@
-import torch
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-
-class GAIAExpertAgent:
-    def __init__(self, model_name: str = "google/flan-t5-large"):
-        self.device = "cuda" if torch.cuda.is_available() else "cpu"
-        self.tokenizer = AutoTokenizer.from_pretrained(model_name)
-        self.model = AutoModelForSeq2SeqLM.from_pretrained(
-            model_name,
-            device_map="auto",
-            torch_dtype=torch.float16 if "cuda" in self.device else torch.float32
-        ).eval()
-
-    def __call__(self, question: str, task_id: str = None) -> str:
-        """Генерация ответа с оптимизациями для GAIA"""
-        try:
-            # Специальные обработчики для GAIA
-            if "reverse" in question.lower():
-                return self._handle_reverse_text(question)
-            if "how many" in question.lower():
-                return self._handle_numerical(question)
-            
-            # Стандартная обработка
-            inputs = self.tokenizer(
-                f"GAIA Question: {question}\nAnswer concisely:",
-                return_tensors="pt",
-                max_length=512,
-                truncation=True
-            ).to(self.device)
-
-            outputs = self.model.generate(
-                **inputs,
-                max_new_tokens=50,
-                num_beams=3,
-                early_stopping=True
-            )
-            
-            answer = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
-            return {"final_answer": answer.strip()}
-        
-        except Exception as e:
-            return {"final_answer": f"Error: {str(e)}"}
-
-    def _handle_reverse_text(self, text: str) -> str:
-        """Обработка обратного текста (специфика GAIA)"""
-        return {"final_answer": text[::-1][:100]}
-
-    def _handle_numerical(self, question: str) -> str:
-        """Извлечение чисел из вопроса"""
-        import re
-        numbers = re.findall(r'\d+', question)
-        return {"final_answer": str(sum(map(int, numbers))) if numbers else "42"}