add gpt-4o

app.py

@@ -106,7 +106,8 @@ def detect_features(image_paths, garment_type, language="English"):
         }
 
         payload = {
-        "model": "gpt-4o",
+        # "model": "gpt-4o",
+        "model": "gpt-4-turbo",
         "messages": [
             {
             "role": "user",
@@ -122,7 +123,7 @@ def detect_features(image_paths, garment_type, language="English"):
                 {
                     "features": [list of comma separated features], 
                     "intended_use": [list of comma separated intended uses], 
-                    "alt_text": [alt text for image 1, alt text for image 2]
+                    "alt_text": [list of alt text for image 1, alt text for image 2]
                 }""" % (garment_type, garment_type, language)
                 },
             ] + [{
@@ -189,7 +190,8 @@ def generate(*data):
                                 Use language that is suitable for the type of document specified in the reference structure. 
                                 Use a consistent tone of voice throughout the text. 
                                 If the reference text is not empty, write the product description in the tone of voice of the reference text. 
-                                Make sure to output the product description only, do not include any preceeding text like "Here is your product description" or any part of the reference structure in the output.
+                                Make sure to output the product description only, do not include any preceeding text like "Here is your product description".
+                                Do not include any part of the reference structure in the output.
                                 \n\n {feature + detected_features} \n{intended_use} \nReference structure: {structure}\n Reference text: {reference}""")]
         batch.append(messages)