Update app.py

app.py

@@ -66,15 +66,15 @@ if uploaded_file is not None:
         with st.spinner("Analyzing the image..."):
             gender = query_analysis(image_bytes, "What is the gender of the person in the image?")
             clothing = query_analysis(image_bytes, "What is the person wearing and which color?")
-            hair_color = query_analysis(image_bytes, "What is the hair color of the person?")
-            facial_expression = query_analysis(image_bytes, "What is the facial expression of the person?")
+            hair_color = query_analysis(image_bytes, "What is the hair color and hair style of the person?")
+            facial_expression = query_analysis(image_bytes, "What is the facial expression and facial features of the person?")
             age = query_analysis(image_bytes, "What is the estimated age of the person?")
 
         # Build generation prompt based on VQA responses and user input
         if gender.lower() == "female":
-            prompt = f"Create a {age}-year-old girl with {hair_color} hair, wearing {clothing}, showing a {facial_expression}. {user_prompt}"
+            prompt = f"Create a full image from head to foot and close to realistic image of {age}-year-old girl with {hair_color} hair, wearing {clothing}, showing a {facial_expression}. {user_prompt}"
         else:
-            prompt = f"Create a {age}-year-old person with {hair_color} hair, wearing {clothing}, showing a {facial_expression}. {user_prompt}"
+            prompt = f"Create a full image from head to foot and close to realistic image of {age}-year-old person with {hair_color} hair, wearing {clothing}, showing a {facial_expression}. {user_prompt}"
 
         # Call image generation API
         with st.spinner("Generating the image..."):