Update app.py

app.py

@@ -3,6 +3,15 @@ import gradio as gr
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, AutoModelForCausalLM, BitsAndBytesConfig
 import torch
 import os
+import gradio_client.utils as client_utils
+
+# Workaround for Gradio schema generation issue
+def _patched_json_schema_to_python_type(schema, defs=None):
+    if isinstance(schema, bool):
+        return "Any" if schema else "None"
+    return client_utils._json_schema_to_python_type(schema, defs)
+
+client_utils._json_schema_to_python_type = _patched_json_schema_to_python_type
 
 # Set up device
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
@@ -200,23 +209,13 @@ def end_interview(state):
     return state["conversation"], state
 
 def clear_state():
-    return [], {
-        "name": "",
-        "domain": "",
-        "company": "",
-        "level": "",
-        "asked_questions": [],
-        "asked_subtopics": [],
-        "conversation": [],
-        "evaluations": [],
-        "interview_active": False
-    }
+    return [], reset_state("", "", "", "Entry-Level")
 
 # ===============================
 # Gradio UI
 # ===============================
 with gr.Blocks() as demo:
-    gr.Markdown("# 🧠 AI Mock Interview with Evaluation, History & Exit")
+    gr.Markdown("# 🧠 AI Mock Interview with Evaluation")
 
     with gr.Row():
         name_input = gr.Textbox(label="Your Name")
@@ -247,4 +246,4 @@ with gr.Blocks() as demo:
     exit_button.click(end_interview, inputs=state, outputs=[chatbot, state])
     clear_button.click(clear_state, outputs=[chatbot, state])
 
-demo.launch()
+demo.launch(ssr=False)