Update app.py

app.py

@@ -60,14 +60,15 @@ def process_resumes(files):
         entities = ner_pipeline(cleaned_text)
         classification = classify_resume_ner(entities)
 
-        all_results[file_name] = {
-            "Persons": list({e["word"] for e in entities if e["entity_group"] == "PER"}),
-            "Organizations": list({e["word"] for e in entities if e["entity_group"] == "ORG"}),
-            "Locations": list({e["word"] for e in entities if e["entity_group"] == "LOC"]),
-            "Other Entities": list({e["word"] for e in entities if e["entity_group"] not in ["PER", "ORG", "LOC"]}),
-            "Cleaned_Text": cleaned_text,
-            "Classification (NER)": classification
-        }
+            all_results[file_name] = {
+                "Persons": list({e["word"] for e in entities if e["entity_group"] == "PER"}),
+                "Organizations": list({e["word"] for e in entities if e["entity_group"] == "ORG"}),
+                "Locations": list({e["word"] for e in entities if e["entity_group"] == "LOC"}),
+                "Other Entities": list({e["word"] for e in entities if e["entity_group"] not in ["PER", "ORG", "LOC"]}),
+                "Cleaned_Text": cleaned_text,
+                "Classification (NER)": classification
+            }
+
     return all_results
 
 def classify_resumes_with_model(files):