| from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline | |
| import torch | |
| SYSTEM_PROMPT = """ | |
| You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: | |
| FINAL ANSWER: [YOUR FINAL ANSWER]. | |
| YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. | |
| If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. | |
| If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. | |
| If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string. | |
| """ | |
| class GaiaAgent: | |
| def __init__(self, model_id="tiiuae/falcon-rw-1b"): | |
| self.tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| self.model = AutoModelForCausalLM.from_pretrained(model_id) | |
| self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") | |
| self.model.to(self.device) | |
| def __call__(self, question: str) -> tuple[str, str]: | |
| try: | |
| prompt = f"{SYSTEM_PROMPT}\n\n{question}\nFINAL ANSWER:" | |
| inputs = self.tokenizer(prompt, return_tensors="pt").to(self.device) | |
| outputs = self.model.generate( | |
| **inputs, | |
| max_new_tokens=256, | |
| do_sample=True, | |
| temperature=0.7, | |
| pad_token_id=self.tokenizer.eos_token_id | |
| ) | |
| output_text = self.tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| if "FINAL ANSWER:" in output_text: | |
| final = output_text.split("FINAL ANSWER:")[-1].strip().split("\n")[0].strip() | |
| else: | |
| final = output_text.strip() | |
| return final, output_text | |
| except Exception as e: | |
| return "ERROR", f"Agent failed: {e}" | |