small improvements and file download bugfix

agent.py

@@ -18,7 +18,8 @@ def get_agent(provider:str) -> CodeAgent:
     model = LiteLLMModel(
       model_id="groq/qwen-qwq-32b",
       api_base="https://api.groq.com/openai/v1/chat/completions",
-      api_key=groq_key)
+      api_key=groq_key,
+      num_ctx=4096)
 
   else:
     model = OpenAIServerModel(

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import requests
 import pandas as pd
 import agent
+from utils import check_reverse, reverse
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -72,7 +73,7 @@ def run_random_question(profile: gr.OAuthProfile | None):
         return "Random question is missing task_id or question", None
     try:
         with open('system_prompt.txt') as f:
-            submitted_answer = agent(f.read()+"\n\n"+question_text)
+            submitted_answer = agent(f.read()+"\n\n"+f"TASK_ID:{task_id}\n"+question_text)
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
     except Exception as e:
@@ -142,6 +143,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
+        if check_reverse(question_text): question_text=reverse(question_text)
         if not task_id or question_text is None:
             print(f"Skipping item with missing task_id or question: {item}")
             continue

tools/attached_files.py

@@ -2,7 +2,8 @@ from smolagents import tool
 import urllib
 import pandas as pd
 
-@tool
+FILES_URL = "https://agents-course-unit4-scoring.hf.space/files/"
+
 def download_file_from_url(url: str) -> str:
   """
   Download a file from a URL and save it to a temporary location.
@@ -20,13 +21,15 @@ def download_file_from_url(url: str) -> str:
   return file_path
 
 @tool
-def csv_reader(file_path: str) -> str:
+def csv_reader(task_id: str) -> str:
   """
   Extract CSV file content and return it in a json format. Supported file extensions: .csv
   Args:
-    file_path: the path to the CSV file.
+    task_id: the question TASK_ID.
   """
 
+  file_path = download_file_from_url(FILES_URL+task_id)
+
   try:
     df = pd.read_csv(file_path)
     return df.to_json()
@@ -35,13 +38,15 @@ def csv_reader(file_path: str) -> str:
     return f"Error analyzing CSV file: {str(e)}"
 
 @tool
-def excel_reader(file_path: str) -> str:
+def excel_reader(task_id: str) -> str:
   """
   Extract Excel file content and return it in a json format. Supported file extensions: .xls, .xlsx, .xlsb, .xlsm, .odf, .ods, .odt
   Args:
-    file_path: the path to the Excel file.
+    task_id: the question TASK_ID.
   """
 
+  file_path = download_file_from_url(FILES_URL+task_id)
+
   try:
     df = pd.read_excel(file_path)
     return df.to_json()

tools/media.py

@@ -1,18 +1,20 @@
 from smolagents import tool
 import whisper
 import requests
+from attached_files import download_file_from_url
 
 STOCKFISH_API_URL = "https://stockfish.online/api/s/v2.php"
 MODEL = whisper.load_model("tiny")
 
 @tool
-def transcribe_audio(file_path: str) -> str:
+def transcribe_audio(task_id: str) -> str:
   """
   Extract MP3 file content and return it as text. Supported file extensions: .mp3
   Args:
-    file_path: the path to the mp3 file.
+    task_id: the question TASK_ID.
   """
 
+  file_path = download_file_from_url(FILES_URL+task_id)
   result = None
 
   try:

utils.py

@@ -0,0 +1,10 @@
+def check_reverse(question:str)->bool:
+  return question[0] in ['.','!','?'] and question[-1].isupper()
+
+def reverse(question:str)->str:
+  return question[::-1]
+
+if __name__=='__main__':
+  question = '.epA'
+  if check_reverse(question):
+    print(reverse(question))