app.py

app.py

@@ -148,7 +148,6 @@ def generate_compare_genAI(extracted_values, values_from_excel, keys_of_interest
         st.error(f"Invalid JSON returned by AI: {cleaned_response}")
         return {}
 
-
 def main():
     st.title("Invoice Processing")
     st.markdown("")
@@ -173,7 +172,6 @@ def main():
                     if st.button(button_label):
                         with st.spinner("Evaluating..."):
                             generated_text = generate_content(image)  # Generate content from image
-                            #st.write(f"Generated text: {generated_text}")
 
                     st.image(uploaded_image, caption="", use_column_width=True)
 
@@ -192,7 +190,6 @@ def main():
             try:
                 # Extract and parse the JSON response
                 json_str = generated_text.strip().split('\n', 1)[-1].replace("```json", "").replace("```", "").strip()
-                #st.write(f"Extracted JSON string: {json_str}")
                 extracted_data = json.loads(json_str)  # Use json.loads to parse
 
                 # Display extracted data in bullet format
@@ -203,12 +200,10 @@ def main():
 
                 # Extract contract number
                 contract_number = extracted_data.get("Contract Number", "")
-                #st.write(f"Contract Number extracted: {contract_number}")
 
                 # Find the row in the Excel DataFrame for the contract number
                 if not df.empty and contract_number:
                     contract_row = df[df['Contract Number'] == contract_number]
-                    #st.write(f"Found contract row: {contract_row}")
 
                     if not contract_row.empty:
                         keys_of_interest = [
@@ -235,16 +230,12 @@ def main():
                             else:
                                 values_from_excel.append("")  # Placeholder if the key is not found
 
-                        #st.write(f"Extracted values: {extracted_values}")
-                        #st.write(f"Values from Excel: {values_from_excel}")
-
                         # Use the AI model to generate comparison results
                         comparison_results = generate_compare_genAI(extracted_values, values_from_excel, keys_of_interest)
-                        #st.write(f"Comparison results: {comparison_results}")
 
                         # Initialize checkbox states in session_state if not already done
                         if 'checkbox_states' not in st.session_state:
-                            st.session_state.checkbox_states = {key: (comparison_results[key] == "Yes") for key in keys_of_interest}
+                            st.session_state.checkbox_states = {key: (comparison_results.get(key, "No") == "Yes") for key in keys_of_interest}
 
                         # Add checkboxes directly to the DataFrame
                         editable_df = pd.DataFrame({
@@ -254,7 +245,7 @@ def main():
                         })
 
                         editable_df['Match'] = [
-                            st.checkbox(f"Match for {key}", value=st.session_state.checkbox_states[key], key=f"checkbox_{key}") 
+                            st.checkbox(f"Match for {key}", value=st.session_state.checkbox_states.get(key, False), key=f"checkbox_{key}") 
                             for key in keys_of_interest
                         ]
 
@@ -265,9 +256,6 @@ def main():
                         # Display the DataFrame with checkboxes
                         st.dataframe(editable_df, use_container_width=True)
 
-                        # Display comparison results as JSON
-                        #st.json(comparison_results)
-
                     else:
                         st.warning(f"No data found for contract number: {contract_number}")
                 else:
@@ -277,6 +265,7 @@ def main():
                 st.error(f"Failed to parse generated text as JSON: {e}. Please check the output.")
             except Exception as e:
                 st.error(f"An error occurred: {e}")
+
 
 if __name__ == "__main__":
     if st.session_state.logged_in: