Update app.py

app.py

@@ -20,6 +20,30 @@ processors = {
 DESCRIPTION = "# [Florence-2 Product Describe by Fluxi IA](https://huggingface.co/microsoft/Florence-2-large)"
 
 @spaces.GPU
+def run_example(task_prompt, image, text_input=None, model_id='J-LAB/Florence-Idesire'):
+    model = models[model_id]
+    processor = processors[model_id]
+    if text_input is None:
+        prompt = task_prompt
+    else:
+        prompt = task_prompt + text_input
+    inputs = processor(text=prompt, images=image, return_tensors="pt").to("cuda")
+    generated_ids = model.generate(
+        input_ids=inputs["input_ids"],
+        pixel_values=inputs["pixel_values"],
+        max_new_tokens=1024,
+        early_stopping=False,
+        do_sample=False,
+        num_beams=3,
+    )
+    generated_text = processor.batch_decode(generated_ids, skip_special_tokens=False)[0]
+    parsed_answer = processor.post_process_generation(
+        generated_text,
+        task=task_prompt,
+        image_size=(image.width, image.height)
+    )
+    return parsed_answer
+    
 def process_image(image, task_prompt, text_input=None, model_id='J-LAB/Florence_2_B_FluxiAI_Product_Caption'):
     image = Image.fromarray(image)  # Convert NumPy array to PIL Image
     if task_prompt == 'Product Caption':