Update app.py

app.py

@@ -22,9 +22,9 @@ moondream.eval()
 def answer_questions(image_tuples, prompt_text):
     result = ""
     
-    print(f"prompt_text: {prompt_text}\n")
+    #print(f"prompt_text: {prompt_text}\n")
     prompts = [p.strip() for p in prompt_text.split(',')]  # Splitting and cleaning prompts
-    print(f"prompts: {prompts}\n")
+    #print(f"prompts: {prompts}\n")
     
     image_embeds = [img[0] for img in image_tuples if img[0] is not None]  # Extracting images from tuples, ignoring None
     
@@ -39,16 +39,18 @@ def answer_questions(image_tuples, prompt_text):
     )
     
     for question, answer in zip(prompts, answers):
-        print(f"Q: {question}")
-        print(f"A: {answer}")
-        print()
+        #print(f"Q: {question}")
+        #print(f"A: {answer}")
+        #print()
         result += (f"Q: {question}\nA: {answer}\n\n")
         
     return result
 
 with gr.Blocks() as demo:
     gr.Markdown("# moondream2 unofficial batch processing demo")
-    gr.Markdown("# 🌔 moondream2\nA tiny vision language model. [GitHub](https://github.com/vikhyatk/moondream)")
+    gr.Markdown("1. Select images\n2. Enter prompts (one prompt for each image provided) separated by commas. Ex: Describe this image, What is in this image?\n\n")
+    gr.Markdown("*Tested and Running on free CPU space tier currently so results may take a bit to process compared to using GPU space hardware*")
+    gr.Markdown("## 🌔 moondream2\nA tiny vision language model. [GitHub](https://github.com/vikhyatk/moondream)")
     with gr.Row():
         img = gr.Gallery(label="Upload Images", type="pil")
         prompt = gr.Textbox(label="Input Prompts", placeholder="Enter prompts (one prompt for each image provided) separated by commas. Ex: Describe this image, What is in this image?", lines=2)