Update app.py

app.py

@@ -2,19 +2,20 @@ import streamlit as st
 import requests
 import os
 from PIL import Image
+import io
 
 # Configure OpenAI API (keeping DeepSeek variable names for simplicity)
 DEEPSEEK_API_KEY = os.getenv("DEEPSEEK_API_KEY")
 DEEPSEEK_ENDPOINT = "https://api.openai.com/v1/chat/completions"
 
-def get_valuation(item_description, image=None):
+def get_valuation(item_description):
     """Generate an estimated value range based on past auction data."""
     prompt = f"""
     As a professional auctioneer and appraiser, estimate the value range for the following item based on past auction data:
     
     {item_description}
     
-    If an image is provided, consider common valuation factors such as condition, rarity, and market demand.
+    Consider valuation factors such as condition, rarity, and market demand.
     
     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.
@@ -39,12 +40,6 @@ def get_valuation(item_description, image=None):
         response = requests.post(DEEPSEEK_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:
-        st.error(f"HTTP error occurred: {http_err}")
-    except requests.exceptions.ConnectionError:
-        st.error("Connection error. Please check your internet connection.")
-    except requests.exceptions.Timeout:
-        st.error("Request timed out. Please try again later.")
     except requests.exceptions.RequestException as e:
         st.error(f"API Error: {str(e)}")
     return None
@@ -58,22 +53,27 @@ st.markdown("### Upload an image or describe an item to estimate its value")
 input_method = st.radio("Choose input method:", ["Describe the item", "Upload an image"])
 
 description = ""
-image = None
 if input_method == "Describe the item":
     description = st.text_area("Describe the item in detail*")
-    
+
 elif input_method == "Upload an image":
     uploaded_image = st.file_uploader("Upload an image of the item", type=["jpg", "png", "jpeg"])
     if uploaded_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")
+        
+        # Convert image to base64 if needed for future improvements
+        img_bytes = io.BytesIO()
+        image.save(img_bytes, format="JPEG")
+        img_bytes = img_bytes.getvalue()
+        # Image processing could be added here in the future
 
 if st.button("Get Estimated Value"):
-    if not description and not image:
+    if not description:
         st.error("Please provide a description or upload an image.")
     else:
         with st.spinner("Analyzing item and fetching valuation..."):
-            valuation = get_valuation(description, image)
+            valuation = get_valuation(description)
             if valuation:
                 st.markdown(valuation)