vlapparov commited on
Commit
7c4be75
·
verified ·
1 Parent(s): 5e0db78

Update app.py

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Files changed (1) hide show
  1. app.py +17 -2
app.py CHANGED
@@ -14,6 +14,7 @@ import os
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  from typing import List, Dict, Any, Optional
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  from smolagents import CodeAgent, Tool, tool, LiteLLMModel
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  from cool_agent import create_agent
 
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  import json
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  import re
@@ -81,6 +82,14 @@ class BasicAgent:
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  self.agent = agent_assets["agent"]
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  self.visual_inspection_tool = agent_assets["visualizer"]
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  self.document_inspection_tool = agent_assets["text_inspection_tool"]
 
 
 
 
 
 
 
 
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  def __call__(self, question: str, file_name: str = None) -> str:
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  """
@@ -119,7 +128,7 @@ class BasicAgent:
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  try:
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  # Run the agent
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  response = self.agent.run(full_prompt)
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-
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  # Clean up the response
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  # Remove any system-prompt-like text at the beginning
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  cleaned_response = re.sub(r'^.*?Answer:', '', response, flags=re.DOTALL).strip()
@@ -240,7 +249,13 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
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  print(f"Skipping item with missing task_id or question: {item}")
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  continue
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  try:
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- submitted_answer = agent(question_text, file_name)
 
 
 
 
 
 
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  answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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  results_log.append({"Task ID": task_id, "Question": question_text,
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  "Submitted Answer": submitted_answer})
 
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  from typing import List, Dict, Any, Optional
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  from smolagents import CodeAgent, Tool, tool, LiteLLMModel
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  from cool_agent import create_agent
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+ from reformulator import prepare_response
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  import json
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  import re
 
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  self.agent = agent_assets["agent"]
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  self.visual_inspection_tool = agent_assets["visualizer"]
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  self.document_inspection_tool = agent_assets["text_inspection_tool"]
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+ self.model = agent_assets["model"]
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+ self.current_question = None
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+
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+ def assign_current_question(self, question: str):
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+ self.current_question = question
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+
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+ def get_current_question(self):
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+ return self.current_question
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  def __call__(self, question: str, file_name: str = None) -> str:
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  """
 
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  try:
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  # Run the agent
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  response = self.agent.run(full_prompt)
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+ self.assign_current_question(full_prompt)
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  # Clean up the response
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  # Remove any system-prompt-like text at the beginning
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  cleaned_response = re.sub(r'^.*?Answer:', '', response, flags=re.DOTALL).strip()
 
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  print(f"Skipping item with missing task_id or question: {item}")
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  continue
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  try:
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+ _ = agent(question_text, file_name)
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+ agent_memory = agent.agent.write_memory_to_messages(summary_mode=True)
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+
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+ final_result = prepare_response(agent.get_current_question(), agent_memory,
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+ reformulation_model=agent.model)
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+
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+ submitted_answer = str(final_result)
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  answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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  results_log.append({"Task ID": task_id, "Question": question_text,
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  "Submitted Answer": submitted_answer})