Update app.py

app.py

@@ -27,6 +27,19 @@ def image_to_text(image):
     # For simplicity, return a placeholder text
     return "Invoice text extracted from the image."
 
+# Function to get response from LayoutLM based on extracted text and prompt
+def get_response_from_llm(extracted_text, prompt):
+    # Concatenate extracted text and prompt
+    input_text = f"{prompt} {extracted_text}"
+    # Tokenize input text
+    input_ids = layoutlm_tokenizer.encode(input_text, return_tensors="pt")
+    # Generate response using LayoutLM
+    with torch.no_grad():
+        output = layoutlm_model.generate(input_ids)
+    # Decode generated response
+    response = layoutlm_tokenizer.decode(output[0], skip_special_tokens=True)
+    return response
+
 # Streamlit App
 st.set_page_config(page_title="Invoice Extractor")
 st.header("Invoice Extractor")
@@ -46,7 +59,7 @@ if submit:
         st.warning("Please upload an image.")
     else:
         extracted_text = extract_text_from_image(image)
-        # Implement your response generation logic here based on the extracted text and prompt
-        response = "Response generated based on the extracted text and prompt."
+        # Get response from LayoutLM based on the extracted text and prompt
+        response = get_response_from_llm(extracted_text, prompt)
         st.subheader("Generated Response:")
         st.write(response)