Update app.py

app.py

@@ -1,21 +1,24 @@
-import gradio
-import gradio.components as components
-import gradio.blocks as blocks
 
-# Monkey patch for Pydantic boolean schema issue
-import gradio as gr
-import gradio._types as _types
+import gradio_client.utils as _gcu
 
-if hasattr(_types, "_GCU"):
-    _types._GCU.get_type = lambda x: bool if x == "boolean" else _types._GCU.get_type(x)
+_original_get_type = _gcu.get_type
+def _get_type_patched(schema):
     
+    if isinstance(schema, bool):
+        return "Any"
+    return _original_get_type(schema)
+
+_gcu.get_type = _get_type_patched
+# ─────────────────────────────────────────────────────────────────────────────
+
 import whisper
 import gradio as gr
 import torch
 from transformers import BertTokenizer, BertForSequenceClassification, pipeline
 from app.questions import get_question
 
-# Load modelswhisper_model = whisper.load_model("small")
+# Load models
+whisper_model = whisper.load_model("small")
 confidence_model = BertForSequenceClassification.from_pretrained('RiteshAkhade/final_confidence')
 confidence_tokenizer = BertTokenizer.from_pretrained('RiteshAkhade/final_confidence')
 context_model = BertForSequenceClassification.from_pretrained('RiteshAkhade/context_model')