Update app.py

app.py

@@ -1,30 +1,30 @@
-import gradio as gr
-from main import resume_parser, get_filtered_rows
-
-with gr.Blocks() as demo:
-    with gr.Tabs():
-        # Tab 1: File / Folder Upload
-        with gr.Tab("Resume Parser"):
-            gr.Markdown("### 📂 Upload Resume or Folder")
-            with gr.Row():
-                file_input = gr.File(label="Upload Resume (PDF, DOCX)")
-                folder_input = gr.FileExplorer(label="Select Folder")
-            parse_btn = gr.Button("Parse")
-            output_json = gr.Code(label="Parsed JSON", language="json")
-
-            parse_btn.click(fn=resume_parser, inputs=[file_input, folder_input], outputs=output_json)
-
-        # Tab 2: Text to DataFrame
-        with gr.Tab("Resume Filter"):
-            gr.Markdown("### 🔍 Resume Filter by Experience and Skills")
-            with gr.Row():
-                exp_input = gr.Number(label="Minimum Experience (Years)")
-                skills_input = gr.Textbox(label="Required Skills (comma-separated)", placeholder="e.g. Python, SQL, AWS")
-
-            submit_btn = gr.Button("Filter Resumes")
-            output = gr.Dataframe(label="Matching Candidates")
-
-            submit_btn.click(fn=get_filtered_rows, inputs=[exp_input, skills_input], outputs=output)
-
-if __name__ == "__main__":
+import gradio as gr
+from main import resume_parser, get_filtered_rows
+
+with gr.Blocks() as demo:
+    with gr.Tabs():
+        
+        # Tab 1: File / Folder Upload
+        with gr.Tab("Resume Parser"):
+            gr.Markdown("### 📂 Upload Resume or Folder")
+            with gr.Row():
+                file_input = gr.File(label="Upload Resume (PDF, DOCX, ZIP)")
+            parse_btn = gr.Button("Parse")
+            output_json = gr.Code(label="Parsed JSON", language="json")
+
+            parse_btn.click(fn=resume_parser, inputs=[file_input], outputs=output_json)
+
+        # Tab 2: Text to DataFrame
+        with gr.Tab("Resume Filter"):
+            gr.Markdown("### 🔍 Resume Filter by Experience and Skills")
+            with gr.Row():
+                exp_input = gr.Number(label="Minimum Experience (Years)")
+                skills_input = gr.Textbox(label="Required Skills (comma-separated)", placeholder="e.g. Python, SQL, AWS")
+        
+            submit_btn = gr.Button("Filter Resumes")
+            output = gr.Dataframe(label="Matching Candidates")
+        
+            submit_btn.click(fn=get_filtered_rows, inputs=[exp_input, skills_input], outputs=output)
+
+if __name__ == "__main__":
     demo.launch(inbrowser=True)