update the logic

app.py

@@ -1,3 +1,10 @@
+import os
+
+# Ensure Hugging Face writes cache to a safe writable location on Spaces
+os.environ["HF_HOME"] = "/tmp/huggingface"
+os.environ["TRANSFORMERS_CACHE"] = "/tmp/huggingface/transformers"
+os.environ["HUGGINGFACE_HUB_CACHE"] = "/tmp/huggingface/hub"
+
 from flask import Flask, render_template, redirect, url_for, flash, request
 from flask_login import LoginManager, login_required, current_user
 from werkzeug.utils import secure_filename

backend/services/interview_engine.py

@@ -1,3 +1,10 @@
+import os
+
+# Ensure Hugging Face writes cache to a safe writable location on Spaces
+os.environ["HF_HOME"] = "/tmp/huggingface"
+os.environ["TRANSFORMERS_CACHE"] = "/tmp/huggingface/transformers"
+os.environ["HUGGINGFACE_HUB_CACHE"] = "/tmp/huggingface/hub"
+
 import requests
 import os
 import json
@@ -114,15 +121,19 @@ groq_llm = ChatGroq(
     api_key=chat_groq_api
 )
 
-from huggingface_hub import login
-import os
+# from huggingface_hub import login
+# import os
 
-HF_TOKEN = os.getenv("HF_TOKEN")
+# HF_TOKEN = os.getenv("HF_TOKEN")
+
+# if HF_TOKEN:
+#     login(HF_TOKEN)
+# else:
+#     raise EnvironmentError("Missing HF_TOKEN environment variable.")
+from huggingface_hub import HfApi
+
+api = HfApi(token=os.getenv("HF_TOKEN"))  # no need to login()
 
-if HF_TOKEN:
-    login(HF_TOKEN)
-else:
-    raise EnvironmentError("Missing HF_TOKEN environment variable.")
 
 #Load mistral Model
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline