Upload 5 files

app.py

@@ -2,7 +2,6 @@ import os
 import gradio as gr
 import requests
 import pandas as pd
-from utils import check_asnwer_format
 import json
 from smolagents import HfApiModel, CodeAgent, VisitWebpageTool
 from tools import (
@@ -43,7 +42,7 @@ class AwesomeAgent:
             model_id="meta-llama/Llama-3.3-70B-Instruct",
             provider="hf-inference",
             token=HF_TOKEN,
-            seed = 24,
+            seed = 100,
         )
         self.agent = CodeAgent(
             model=model,
@@ -72,7 +71,6 @@ class AwesomeAgent:
             ],
             planning_interval=3,
             add_base_tools=True,
-            final_answer_checks=[check_asnwer_format],
         )
         print("AwesomeAgent initialized.")
     
@@ -185,8 +183,12 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         "answers": answers_payload,
     }
 
+
+    # return "Agent finished. Submitting answers", pd.DataFrame(results_log)
+
     status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
     print(status_update)
+    
 
     # 5. Submit
     print(f"Submitting {len(answers_payload)} answers to: {submit_url}")

utils.py

@@ -1,41 +1,11 @@
-from smolagents import OpenAIServerModel
-from dotenv import load_dotenv
+from dotenv import load_dotenv   
 from huggingface_hub import HfApi
-import os
 
 load_dotenv()
-OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
 repo_id = "zaradana/temp_files"
 
 api = HfApi()
 
-def check_asnwer_format(final_answer, agent_memory):
-    multimodal_model = OpenAIServerModel("gpt-4o", max_tokens=8096, api_key=OPENAI_API_KEY)
-    prompt = (
-        f"Here is a user-given task and the agent steps: {agent_memory.get_succinct_steps()}. "
-        f"Here is the final answer: {final_answer}. "
-        "Please check that the answer is in the requested format. "
-        "First list reasons why yes/no, then write your final decision: PASS in caps lock if it is satisfactory, FAIL if it is not."
-        "Don't be harsh: if the answer is in the correct format, it should pass. "
-    )
-    messages = [
-        {
-            "role": "user",
-            "content": [
-                {
-                    "type": "text",
-                    "text": prompt,
-                }
-            ],
-        }
-    ]
-    output = multimodal_model(messages).content
-    print("Feedback: ", output)
-    if "FAIL" in output:
-        raise Exception(output)
-    return True
-
-
 def upload_file(file_local_path: str) -> str:
     """
     Upload a file to the Hugging Face Hub and return the URL