Update app.py

app.py

@@ -19,17 +19,18 @@ def process_image(api_key, seed, image, prompt):
     input_path = f"input_{image_id}.png"
     image.save(input_path)
 
+    intermediate_images = []
+    current_image_path = input_path
+    
     try:
         uri = encode_image_to_datauri(input_path)
         categories, instructions = cot_with_gpt(uri, prompt)
-        # categories = ['Tone Transfer', 'Style Change']
-        # instructions = ['Change the time to night', 'Change the style to watercolor']
 
         if not categories or not instructions:
             raise gr.Error("No editing steps returned by GPT. Try a more specific instruction.")
 
-        intermediate_images = []
-        current_image_path = input_path
+        intermediate_images.append(image)
+        yield intermediate_images, image
 
         for i, (category, instruction) in enumerate(zip(categories, instructions)):
             print(f"[Step {i}] Category: {category} | Instruction: {instruction}")
@@ -67,9 +68,8 @@ def process_image(api_key, seed, image, prompt):
             current_image_path = f"{step_prefix}.png"
             edited_image.save(current_image_path)
             intermediate_images.append(edited_image.copy())
-
-        final_result = intermediate_images[-1] if intermediate_images else image
-        return intermediate_images, final_result
+            
+            yield intermediate_images, edited_image
 
     except Exception as e:
         raise gr.Error(f"Processing failed: {str(e)}")
@@ -77,7 +77,7 @@ def process_image(api_key, seed, image, prompt):
 
 # Gradio UI
 with gr.Blocks() as demo:
-    gr.Markdown("## 🖼️ IEAP: Image Editing As Programs")
+    gr.Markdown("## 🖼️ IEAP: Image Editing As Programs (Streaming Version)")
 
     with gr.Row():
         api_key_input = gr.Textbox(label="🔑 OpenAI API Key", type="password", placeholder="sk-...")
@@ -108,5 +108,4 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch(    
-    )
+    demo.launch()