Update app.py

app.py

@@ -7,11 +7,11 @@ import time
 
 # Configure OpenAI API settings
 API_URL = "https://api.openai.com/v1/chat/completions"
-MODEL_NAME = "gpt-4o"  # Updated to use GPT-4o which includes vision capabilities
+MODEL_NAME = "gpt-4o"  # Use the latest model with vision capabilities
 
 # Set API key from Hugging Face secrets
 try:
-    API_KEY = st.secrets["YOUR_OPENAI_API_KEY"]
+    API_KEY = st.secrets["OPENAI_API_KEY"]
 except:
     API_KEY = ""  # Will be prompted to enter API key if not in secrets
 
@@ -21,31 +21,6 @@ if "uploaded_images" not in st.session_state:
 if "api_key" not in st.session_state:
     st.session_state["api_key"] = API_KEY
 
-# Custom styles for the app
-st.markdown("""
-<style>
-    .main .block-container {
-        padding-bottom: 5rem !important;
-        max-width: 100% !important;
-    }
-    
-    @media (max-width: 640px) {
-        .main .block-container {
-            padding: 1rem 0.5rem !important;
-        }
-        
-        h1 { font-size: 1.5rem !important; }
-        h2, h3 { font-size: 1.2rem !important; }
-        
-        .stButton button {
-            width: 100% !important;
-            height: 3rem !important;
-            margin: 0.5rem 0 !important;
-        }
-    }
-</style>
-""", unsafe_allow_html=True)
-
 # Function to encode image to base64
 def encode_image(image):
     # Convert RGBA to RGB if needed
@@ -73,13 +48,14 @@ def analyze_home_photos(images, property_type, price_range, timeframe, additiona
         {"type": "text", "text": f"Analyze these home photos and recommend improvements to maximize value for a {property_type} in the {price_range} range. The owner plans to sell within {timeframe}. {additional_details}"}
     ]
     
-    # Add images to the message
+    # Add images to the message with proper format for GPT-4o
     for img in images:
         base64_img = encode_image(img)
         content.append({
             "type": "image_url",
             "image_url": {
-                "url": f"data:image/jpeg;base64,{base64_img}"
+                "url": f"data:image/jpeg;base64,{base64_img}",
+                "detail": "low"  # Use low detail to reduce token usage
             }
         })
     
@@ -100,6 +76,9 @@ def analyze_home_photos(images, property_type, price_range, timeframe, additiona
                 For each recommendation, explain the potential value impact and approximate ROI.
                 Be specific based on what you can see in the photos.
                 Avoid generic advice - focus on what's visible in the images provided.
+                
+                Always add the following text to the beginning of your response:  
+                'Here are your personalized home improvement recommendations! If you found this tool helpful, visit www.myeverydayai.com to see more AI tools like this that can help with your real estate needs!'
                 """
             },
             {
@@ -115,13 +94,24 @@ def analyze_home_photos(images, property_type, price_range, timeframe, additiona
             status.write("Sending images to AI service...")
             response = requests.post(API_URL, headers=headers, json=payload, timeout=60)
             
+            # Debug information
+            st.write(f"Status code: {response.status_code}")
+            
             if response.status_code == 200:
                 status.update(label="Analysis complete!", state="complete")
                 return response.json()["choices"][0]["message"]["content"]
             else:
                 status.update(label="Error in analysis", state="error")
-                st.error(f"API Error: {response.status_code} - {response.text}")
-                return f"Error: The API returned a {response.status_code} status code. Please check your API key and try again."
+                error_text = f"API Error: {response.status_code}"
+                if response.text:
+                    try:
+                        error_json = response.json()
+                        if "error" in error_json:
+                            error_text += f" - {error_json['error']['message']}"
+                    except:
+                        error_text += f" - {response.text[:200]}"
+                st.error(error_text)
+                return f"Error: {error_text}. Please check your API key and try again."
     except Exception as e:
         st.error(f"Error: {str(e)}")
         return f"Error: {str(e)}"
@@ -129,6 +119,19 @@ def analyze_home_photos(images, property_type, price_range, timeframe, additiona
 # Main application
 st.title("Home Value Maximizer 🏡")
 
+# Custom CSS for better appearance
+st.markdown("""
+<style>
+    .main .block-container {padding-bottom: 5rem !important; max-width: 100% !important;}
+    @media (max-width: 640px) {
+        .main .block-container {padding: 1rem 0.5rem !important;}
+        h1 {font-size: 1.5rem !important;}
+        h2, h3 {font-size: 1.2rem !important;}
+        .stButton button {width: 100% !important; height: 3rem !important;}
+    }
+</style>
+""", unsafe_allow_html=True)
+
 # API Key input if not in secrets
 if not st.session_state["api_key"]:
     st.session_state["api_key"] = st.text_input("Enter your OpenAI API Key", type="password")