Update app.py

app.py

@@ -3,10 +3,23 @@ from transformers import pipeline, AutoModelForImageClassification, AutoFeatureE
 from PIL import Image
 import openai
 import os
-import torch
+from dotenv import load_dotenv
 
 # =======================
-# Streamlit Page Config (MUST BE FIRST)
+# Load Environment Variables from .env File
+# =======================
+load_dotenv()  # Explicitly load the .env file
+
+# Set OpenAI API key
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# Debugging: Check if API key is loaded
+if not openai.api_key or not openai.api_key.startswith("sk-"):
+    st.error("OpenAI API key is not set or is invalid. Please check the `.env` file or your environment variable setup.")
+    st.stop()
+
+# =======================
+# Streamlit Page Config
 # =======================
 st.set_page_config(
     page_title="AI-Powered Skin Cancer Detection",
@@ -16,12 +29,7 @@ st.set_page_config(
 )
 
 # =======================
-# OpenAI API Configuration
-# =======================
-openai.api_key = os.getenv("OPENAI_API_KEY", "your_openai_api_key_here")
-
-# =======================
-# Load Model with PyTorch
+# Load Skin Cancer Model (PyTorch)
 # =======================
 @st.cache_resource
 def load_model():
@@ -40,7 +48,7 @@ def load_model():
 model = load_model()
 
 # =======================
-# OpenAI Explanation Function
+# Generate OpenAI Explanation
 # =======================
 def generate_openai_explanation(label, confidence):
     """