Update app.py

app.py

@@ -1,24 +1,19 @@
 import os
 import gradio as gr
 import requests
-import inspect
 import pandas as pd
 from transformers import pipeline
 
-# (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 ------
-from transformers import pipeline
-
 class BasicAgent:
     def __init__(self):
         print("Loading FLAN-T5 base model...")
         self.pipeline = pipeline(
             "text2text-generation",
-            model = "google/flan-t5-base",
+            model="google/flan-t5-base",
             max_new_tokens=128,
             temperature=0.3
         )
@@ -34,7 +29,8 @@ class BasicAgent:
             return self.reverse_sentence(question)
         else:
             return self.model_response(question)
-        def model_response(self, question: str) -> str:
+
+    def model_response(self, question: str) -> str:
         prompt = f"Please answer step by step:\n{question}"
         output = self.pipeline(prompt)[0]["generated_text"]
         return output.strip().split("Answer:")[-1].strip()
@@ -48,12 +44,10 @@ class BasicAgent:
             return f"Could not find info: {e}"
 
     def parse_excel(self, task_id: str) -> str:
-        import requests
-        import pandas as pd
         try:
             file_url = f"https://agents-course-unit4-scoring.hf.space/files/{task_id}"
             df = pd.read_excel(file_url)
-            # Your logic here, example:
+            # Example logic: sum sales for food category
             food_sales = df[df['category'] == 'food']['sales'].sum()
             return f"${food_sales:.2f}"
         except Exception as e:
@@ -65,32 +59,31 @@ class BasicAgent:
         return reversed_text
 
 
-def run_and_submit_all( profile: gr.OAuthProfile | None):
+def run_and_submit_all(profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,
     and displays the results.
     """
-    # --- Determine HF Space Runtime URL and Repo URL ---
-    space_id = os.getenv("SPACE_ID") # Get the SPACE_ID for sending link to the code
+    space_id = os.getenv("SPACE_ID")  # Get the SPACE_ID for sending link to the code
 
     if profile:
-        username= f"{profile.username}"
-        print(f"User logged in: {username}")
+        username = f"{profile.username}"
+        print(f"User  logged in: {username}")
     else:
-        print("User not logged in.")
+        print("User  not logged in.")
         return "Please Login to Hugging Face with the button.", None
 
     api_url = DEFAULT_API_URL
     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
     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)
+
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
     print(agent_code)
 
@@ -101,16 +94,16 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         response.raise_for_status()
         questions_data = response.json()
         if not questions_data:
-             print("Fetched questions list is empty.")
-             return "Fetched questions list is empty or invalid format.", None
+            print("Fetched questions list is empty.")
+            return "Fetched questions list is empty or invalid format.", None
         print(f"Fetched {len(questions_data)} questions.")
     except requests.exceptions.RequestException as e:
         print(f"Error fetching questions: {e}")
         return f"Error fetching questions: {e}", None
     except requests.exceptions.JSONDecodeError as e:
-         print(f"Error decoding JSON response from questions endpoint: {e}")
-         print(f"Response text: {response.text[:500]}")
-         return f"Error decoding server response for questions: {e}", None
+        print(f"Error decoding JSON response from questions endpoint: {e}")
+        print(f"Response text: {response.text[:500]}")
+        return f"Error decoding server response for questions: {e}", None
     except Exception as e:
         print(f"An unexpected error occurred fetching questions: {e}")
         return f"An unexpected error occurred fetching questions: {e}", None