Update agent.py

agent.py

@@ -393,25 +393,21 @@ class MyVectorStore:
 # -----------------------------
 # Define the URL where the JSON file is hosted
 
-import requests
 import json
+from langchain.schema import Document
 
-url = "https://huggingface.co/spaces/wt002/Final_Assignment_Project/blob/main/questions.json"
-response = requests.get(url)
-
-# Check status
-if response.status_code != 200:
-    raise ValueError(f"Failed to fetch data: {response.status_code}")
-
-# Parse JSON content
-try:
-    docs = response.json()  # or json.loads(response.text)
-except json.JSONDecodeError as e:
-    print("Response was:", response.text)
-    raise e
+# Load the JSON file
+with open("questions.json", "r", encoding="utf-8") as f:
+    data = json.load(f)
 
-# Extract text
-texts = [doc.get("text", "") for doc in docs if isinstance(doc, dict)]
+# Convert each question into a Document
+docs = [
+    Document(
+        page_content=item["question"],
+        metadata={"task_id": item["task_id"], "level": item["Level"]}
+    )
+    for item in data if "question" in item
+]
 
 
 # Initialize the embedding model