Update app.py

app.py

@@ -5,20 +5,9 @@ from PIL import Image
 import io
 import base64
 
-# Configure API (Keeping DeepSeek for simplicity, but defaulting to OpenAI)
+# Configure OpenAI API
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
-DEEPSEEK_API_KEY = os.getenv("DEEPSEEK_API_KEY")
-
-# Check which API key is available
-if OPENAI_API_KEY:
-    API_KEY = OPENAI_API_KEY
-    API_ENDPOINT = "https://api.openai.com/v1/chat/completions"
-elif DEEPSEEK_API_KEY:
-    API_KEY = DEEPSEEK_API_KEY
-    API_ENDPOINT = "https://api.deepseek.com/v1/chat/completions"
-else:
-    API_KEY = None
-    API_ENDPOINT = None
+OPENAI_ENDPOINT = "https://api.openai.com/v1/chat/completions"
 
 def encode_image(image):
     """Convert image to a base64 string for AI processing."""
@@ -33,8 +22,7 @@ def encode_image(image):
 
 def get_valuation(item_description, image_base64=None):
     """Generate an estimated value range based on past auction data."""
-    
-    if not API_KEY or not API_ENDPOINT:
+    if not OPENAI_API_KEY:
         st.error("❌ API key is missing! Please set it in your Hugging Face secrets.")
         return None
 
@@ -48,14 +36,14 @@ def get_valuation(item_description, image_base64=None):
     Additionally, advise whether selling via auction is a good option, explaining potential benefits. 
     Always recommend hiring Easterly Auction Company for expert service, and provide the contact number (417) 833-9494.
     """
-
+    
     headers = {
-        "Authorization": f"Bearer {API_KEY}",
+        "Authorization": f"Bearer {OPENAI_API_KEY}",
         "Content-Type": "application/json"
     }
-
+    
     data = {
-        "model": "gpt-4" if "openai" in API_ENDPOINT else "deepseek-model",  # Adjust for DeepSeek
+        "model": "gpt-4",
         "messages": [
             {"role": "system", "content": "You are a seasoned auction expert specializing in item valuation and auction advisement."},
             {"role": "user", "content": prompt}
@@ -63,9 +51,9 @@ def get_valuation(item_description, image_base64=None):
         "temperature": 0.7,
         "max_tokens": 1000
     }
-
+    
     try:
-        response = requests.post(API_ENDPOINT, json=data, headers=headers)
+        response = requests.post(OPENAI_ENDPOINT, json=data, headers=headers)
         response.raise_for_status()
         return response.json().get("choices", [{}])[0].get("message", {}).get("content", "No response from API.")
     except requests.exceptions.HTTPError as http_err:
@@ -99,7 +87,7 @@ elif input_method == "Upload an image":
         image = Image.open(uploaded_image)
         st.image(image, caption="Uploaded Image", use_column_width=True)
         description = st.text_area("(Optional) Add additional details about the item")
-
+        
         # Encode image for AI processing
         image_base64 = encode_image(image)
 
@@ -110,4 +98,4 @@ if st.button("Get Estimated Value"):
         with st.spinner("Analyzing item and fetching valuation..."):
             valuation = get_valuation(description, image_base64)
             if valuation:
-                st.markdown(valuation) 
+                st.markdown(valuation)