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import os |
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from datetime import datetime |
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import argparse |
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from base_agent import BaseAgent |
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from system_prompts import sys_prompts |
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from tools import ToolCalling |
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from process import * |
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def parse_args(): |
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parser = argparse.ArgumentParser(description='Eval-Agent-Open-Domain', formatter_class=argparse.RawTextHelpFormatter) |
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parser.add_argument( |
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"--user_query", |
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type=str, |
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required=True, |
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help="user query", |
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) |
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parser.add_argument( |
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"--model", |
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type=str, |
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required=True, |
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help="model", |
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) |
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args = parser.parse_args() |
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return args |
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class EvalAgent: |
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def __init__(self, sample_model="sdxl-1", save_mode="img"): |
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self.tools = ToolCalling(sample_model=sample_model, save_mode=save_mode) |
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self.sample_model = sample_model |
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self.user_query = "" |
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def init_agent(self): |
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self.prompt_agent = BaseAgent(system_prompt=sys_prompts["open-prompt-sys"], use_history=False, temp=0.7) |
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self.task_agent = BaseAgent(system_prompt=sys_prompts["open-plan-sys"], temp=0.7) |
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def format_results(self, results): |
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formatted_text = "Observation:\n\n" |
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for item in results: |
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formatted_text += f"Prompt: {item['Prompt']}\n" |
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for question, answer in zip(item["Questions"], item["Answers"]): |
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formatted_text += f"Question: {question} -- Answer: {answer}\n" |
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formatted_text += "\n" |
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return formatted_text |
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def observe(self, sub_question): |
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sub_query = f"User-query: {self.user_query}\n\nSub-aspect: {sub_question['Sub-aspect']}\nThought: {sub_question['Thought']}" |
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pq_infos = self.prompt_agent(sub_query, parse=True) |
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for item in pq_infos["Step 2"]: |
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img_path = self.tools.sample([item["Prompt"]], self.image_folder)[0]["content_path"] |
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item["img_path"] = img_path |
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answer_list = [] |
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for question in item["Questions"]: |
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answer = self.tools.vlm_eval(img_path, question) |
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answer_list.append(answer.replace("\n\n", " ")) |
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item["Answers"] = answer_list |
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sub_question["eval_results"] = pq_infos["Step 2"] |
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return self.format_results(pq_infos["Step 2"]) |
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def update_info(self): |
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folder_name = datetime.now().strftime('%Y-%m-%d-%H:%M:%S') + "-" + self.user_query.replace(" ", "_") |
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self.save_path = f"./open_domain_results/{self.sample_model}/{folder_name}" |
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os.makedirs(self.save_path, exist_ok=True) |
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self.image_folder = os.path.join(self.save_path, "images") |
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self.file_name = os.path.join(self.save_path, f"open_domain_exploration_results.json") |
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def explore(self, query, all_chat=[]): |
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self.user_query = query |
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self.update_info() |
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self.init_agent() |
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all_chat.append(query) |
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n = 0 |
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while True: |
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task_response = self.task_agent(query, parse=True) |
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if task_response.get("Plan"): |
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all_chat.append(task_response) |
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query = "continue" |
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continue |
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if task_response.get("Summary"): |
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print("Finished!") |
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all_chat.append(task_response) |
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break |
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query = self.observe(task_response) |
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all_chat.append(task_response) |
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if n > 9: |
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break |
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n += 1 |
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all_chat.append(self.task_agent.messages) |
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save_json(all_chat, self.file_name) |
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def main(): |
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args = parse_args() |
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user_query = args.user_query |
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open_agent = EvalAgent(sample_model=args.model, save_mode="img") |
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open_agent.explore(user_query) |
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if __name__ == "__main__": |
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main() |
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