Update app.py

app.py

@@ -341,32 +341,32 @@ else:
     if st.button("Analyze"):
         # Ensure full extracted text is used for analysis
         text_for_analysis = st.session_state["pdf_text"].strip() if st.session_state["pdf_text"] else example_text.strip()
-
+    
         if text_for_analysis:
             with st.spinner("Analyzing text..."):
                 # Extract structured financial data using regex (Now using full text)
                 extracted_data = {
                     key: (match.group(1) if match else "N/A")
                     for key, pattern in patterns.items()
-                        if (match := re.search(pattern, text_for_analysis, re.IGNORECASE))
-                    }
+                    if (match := re.search(pattern, text_for_analysis, re.IGNORECASE))
+                }
     
-                    # Use spaCy to extract additional financial terms (Now using full text)
-                    doc = nlp(text_for_analysis)
-                    financial_entities = [(ent.text, ent.label_) for ent in doc.ents if ent.label_ in ["MONEY", "PERCENT", "ORG", "DATE"]]
+                # ✅ Correct indentation
+                doc = nlp(text_for_analysis)
+                financial_entities = [(ent.text, ent.label_) for ent in doc.ents if ent.label_ in ["MONEY", "PERCENT", "ORG", "DATE"]]
     
-                    # Store extracted data in a structured dictionary
-                    structured_data = {**extracted_data, "Named Entities Extracted": financial_entities}
+                # Store extracted data in a structured dictionary
+                structured_data = {**extracted_data, "Named Entities Extracted": financial_entities}
     
-                    # Display results
-                    st.write("Entities Found:")
-                    st.write(pd.DataFrame(financial_entities, columns=["Entity", "Label"]))
+                # Display results
+                st.write("Entities Found:")
+                st.write(pd.DataFrame(financial_entities, columns=["Entity", "Label"]))
     
-                    st.write("Structured Data Extracted:")
-                    st.write(pd.DataFrame([structured_data]))
+                st.write("Structured Data Extracted:")
+                st.write(pd.DataFrame([structured_data]))
     
-            else:
-                st.error("Please provide some text for analysis.")
+        else:
+            st.error("Please provide some text for analysis.")
     
         # Step 4: Summarization
         st.subheader("Summarization")