Update app.py

app.py

@@ -7,7 +7,7 @@ layoutlm_model = LayoutLMForTokenClassification.from_pretrained("microsoft/layou
 layoutlm_tokenizer = LayoutLMTokenizer.from_pretrained("microsoft/layoutlm-base-uncased")
 
 # Function to extract text from image
-def extract_text_from_image(image)
+def extract_text_from_image(image):
     inputs = layoutlm_tokenizer(image, return_tensors="pt")
     with torch.no_grad():
         outputs = layoutlm_model(**inputs)
@@ -17,7 +17,7 @@ def extract_text_from_image(image)
     return text
 
 # Function to generate response
-def generate_response(prompt, text)
+def generate_response(prompt, text):
     # You can use your existing code here for response generation
     # For this example, let's simply return the extracted text with the prompt
     return f"{prompt} {text}"