Update app.py

app.py

@@ -29,33 +29,30 @@ def answer_questions(image_tuples, prompt_text):
     answers = []
     
     for prompt in prompts:
-        thread = Thread(
-            image_answers = moondream.batch_answer(
+        thread = Thread(target=lambda: answers.append(moondream.batch_answer(
                 images=[img.convert("RGB") for img in image_embeds],
                 prompts=[prompt] * len(image_embeds),
-                tokenizer=tokenizer,
-            )
-            answers.append(image_answers)
-        )
+                tokenizer=tokenizer)))
         thread.start()
+        thread.join()
     
     for i, prompt in enumerate(prompts):
         Q_and_A += f"### Q: {prompt}\n"
         for j, image_tuple in enumerate(image_tuples):
             image_name = f"image{j+1}"
             answer_text = answers[i][j]  
-            Q_and_A += f"**{image_name} A:** \n {answer_text} \n\n"
+            Q_and_A += f"**{image_name} A:** \n {answer_text} \n"
 
     result = {'headers': prompts, 'data': answers} 
-    print(f"result\n{result}\n\nQ_and_A\n{Q_and_A}\n\n")
+    print("result\n{}\n\nQ_and_A\n{}\n\n".format(result, Q_and_A))
     return Q_and_A, result
 
 with gr.Blocks() as demo:
     gr.Markdown("# moondream2 unofficial batch processing demo")
     gr.Markdown("1. Select images\n2. Enter one or more prompts separated by commas. Ex: Describe this image, What is in this image?\n\n")
-    gr.Markdown("**Currently each image will be sent as a batch with the prompts thus asking each promp on each image**")
+    gr.Markdown("**Currently each image will be sent as a batch with the prompts thus asking each prompt on each image**")
     gr.Markdown("*Running on free CPU space tier currently so results may take a bit to process compared to duplicating space and using GPU space hardware*")
-    gr.Markdown("## 🌔 moondream2\nA tiny vision language model. [GitHub](https://github.com/vikhyatk/moondream)")
+    gr.Markdown("A tiny vision language model. [moondream2](https://huggingface.co/vikhyatk/moondream2)")
     with gr.Row():
         img = gr.Gallery(label="Upload Images", type="pil", preview=True, columns=4)
     with gr.Row():
@@ -66,6 +63,6 @@ with gr.Blocks() as demo:
         output = gr.Markdown(label="Questions and Answers", line_breaks=True)
     with gr.Row():
         output2 = gr.Dataframe(label="Structured Dataframe", type="array", wrap=True)
-    submit.click(answer_questions, [img, prompt], [output, output2])
+    submit.click(answer_questions, inputs=[img, prompt], outputs=[output, output2])
 
-demo.queue().launch()
+demo.queue().launch()