Update app.py

app.py

@@ -22,8 +22,7 @@ model = AutoModelForCausalLM.from_pretrained(
     device_map='auto'
 )
 
-import json
-
+@spaces.GPU()
 def wrap_json_in_markdown(text):
     result = []
     stack = []
@@ -184,7 +183,6 @@ def process_text_deepl(input_string, api_key):
     processed_string = unicode_word_pattern.sub(process_match, input_string)
     return processed_string
 
-@spaces.GPU()
 def process_image_and_text(image, text):
     # Process the image and text
     inputs = processor.process(
@@ -205,10 +203,10 @@ def process_image_and_text(image, text):
     # Only get generated tokens; decode them to text
     generated_tokens = output[0, inputs['input_ids'].size(1):]
     generated_text = processor.tokenizer.decode(generated_tokens, skip_special_tokens=True)
-    generated_text_w_json_wrapper = wrap_json_in_markdown(generated_text)
-    generated_text_w_unicode_mdn = process_text_deepl(generated_text_w_json_wrapper, "a5b1749b-7112-4c2d-81a3-33ea18478bb4:fx")
+    generated_text_w_unicode_mdn = process_text_deepl(generated_text, "a5b1749b-7112-4c2d-81a3-33ea18478bb4:fx")
+    generated_text_w_json_wrapper = wrap_json_in_markdown(generated_text_w_unicode_mdn)
     
-    return generated_text_w_unicode_mdn
+    return generated_text_w_json_wrapper
 
 def chatbot(image, text, history):
     if image is None: