Update app.py

app.py

@@ -1,23 +1,48 @@
 import os
-import gradio as gr
-import requests
+import time
 import inspect
+import urllib3
+import tempfile
+import requests
+import gradio as gr
 import pandas as pd
+from agent import start_agent
+
+
+urllib3.disable_warnings()
+
 
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-# --- Basic Agent Definition ---
-# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
-    def __call__(self, question: str) -> str:
+        print("BasicAgent initialized")
+    def __call__(self, question: str, question_filepath: str = "") -> str:
+        answer = start_agent(question, question_filepath)
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        print(f"Agent returning answer: {answer}")
+        return answer
+
+
+def download_question_file(task_id: str, filename: str)-> str | None:
+    try:
+        response = requests.get(f"{DEFAULT_API_URL}/files/{task_id}", stream=True)
+        response.raise_for_status()
+
+        temp_dir = tempfile.gettempdir()
+        filepath = os.path.join(temp_dir, filename)
+
+        with open(filepath, 'wb') as file:
+            for chunk in response.iter_content(chunk_size=8192):
+                file.write(chunk)
+
+        return filepath
+    except requests.exceptions.RequestException as e:
+        print(f"Error downloading file: {e}")
+        return None
+
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -38,13 +63,13 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     questions_url = f"{api_url}/questions"
     submit_url = f"{api_url}/submit"
 
-    # 1. Instantiate Agent ( modify this part to create your agent)
+    # 1. Instantiate Agent (modify this part to create your agent)
     try:
         agent = BasicAgent()
     except Exception as e:
         print(f"Error instantiating agent: {e}")
         return f"Error initializing agent: {e}", None
-    # In the case of an app running as a hugging Face space, this link points toward your codebase ( usefull for others so please keep it public)
+    # In the case of an app running as a hugging Face space, this link points toward your codebase (usefull for others, so please keep it public)
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
     print(agent_code)
 
@@ -75,14 +100,23 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     print(f"Running agent on {len(questions_data)} questions...")
     for item in questions_data:
         task_id = item.get("task_id")
+        file_name = item.get("file_name")
         question_text = item.get("question")
+        question_filepath = ""
         if not task_id or question_text is None:
             print(f"Skipping item with missing task_id or question: {item}")
             continue
+
+        if file_name:
+            question_filepath = download_question_file(task_id=task_id, filename=file_name)
+
         try:
-            submitted_answer = agent(question_text)
+
+            submitted_answer = agent(question_text, question_filepath)
             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})
+            time.sleep(60) #sleep in order not to hit claude token limit
+
         except Exception as e:
              print(f"Error running agent on task {task_id}: {e}")
              results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
@@ -146,15 +180,13 @@ with gr.Blocks() as demo:
     gr.Markdown(
         """
         **Instructions:**
-
         1.  Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
         2.  Log in to your Hugging Face account using the button below. This uses your HF username for submission.
         3.  Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
-
         ---
         **Disclaimers:**
         Once clicking on the "submit button, it can take quite some time ( this is the time for the agent to go through all the questions).
-        This space provides a basic setup and is intentionally sub-optimal to encourage you to develop your own, more robust solution. For instance for the delay process of the submit button, a solution could be to cache the answers and submit in a seperate action or even to answer the questions in async.
+        This space provides a basic setup and is intentionally sub-optimal to encourage you to develop your own, more robust solution. For instance for the delay process of the submit button, a solution could be to cache the answers and submit in a separate action or even to answer the questions in async.
         """
     )