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