Update app.py

app.py

@@ -1,12 +1,12 @@
 import gradio as gr
 from openai import OpenAI
+import os
 from PIL import Image
 import numpy as np
-import os
 from datetime import datetime
 
 # Initialize OpenAI client
-client = OpenAI()
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
 
 
 def array_to_image_path(image_array):
@@ -23,12 +23,13 @@ def array_to_image_path(image_array):
 
 # Function to generate product description using OpenAI API
 def generate_product_description(image, text_input=None):
-    # Convert the image to a path (optional, could directly send the image as a URL if available)
+    # Convert the image to a path (simulated handling)
     image_path = array_to_image_path(image)
 
-    # Assuming the image is hosted online, replace the path with the URL.
-    # In practice, you'd need a public URL to share the image with the API.
-    image_url = "https://example.com/" + os.path.basename(image_path)
+    # Use a generated link from the Gradio app
+    # If share=True is set, the image will be available via a public URL
+    # Make sure the provided URL is accessible and correct in context
+    image_url = image_path  # Replace this with actual URL when using Gradio's share functionality
 
     # API request
     completion = client.chat.completions.create(
@@ -74,5 +75,6 @@ with gr.Blocks(css=css) as demo:
             generate_product_description, [input_img, text_input], [output_text]
         )
 
+# Set share=True to create a public URL
 demo.queue(api_open=False)
-demo.launch(debug=True)
+demo.launch(debug=True, share=True)