Fix typo in pruned text

app.py

@@ -8,8 +8,8 @@ from transformers import AutoModelForQuestionAnswering, AutoTokenizer
 
 models = {
     "Base model": "bert-large-uncased-whole-word-masking-finetuned-squad",
-    "Prunned model": "madlag/bert-large-uncased-wwm-squadv2-x2.63-f82.6-d16-hybrid-v1",
-    "Prunned ONNX Optimized FP16": "tryolabs/bert-large-uncased-wwm-squadv2-optimized-f16",
+    "Pruned model": "madlag/bert-large-uncased-wwm-squadv2-x2.63-f82.6-d16-hybrid-v1",
+    "Pruned ONNX Optimized FP16": "tryolabs/bert-large-uncased-wwm-squadv2-optimized-f16",
 }
 
 
@@ -31,7 +31,7 @@ def run_normal_hf(model_name, inputs):
 
 def inference(model_name, context, question):
     tokenizer = AutoTokenizer.from_pretrained(models[model_name])
-    if model_name == "Prunned ONNX Optimized FP16":
+    if model_name == "Pruned ONNX Optimized FP16":
         inputs = dict(tokenizer(question, context, return_tensors="np"))
         output, inference_time = run_ort_inference(model_name, inputs)
         answer_start_scores, answer_end_scores = torch.tensor(output[0]), torch.tensor(
@@ -53,8 +53,8 @@ def inference(model_name, context, question):
 
 
 model_field = gr.Dropdown(
-    choices=["Base model", "Prunned model", "Prunned ONNX Optimized FP16"],
-    value="Prunned ONNX Optimized FP16",
+    choices=["Base model", "Pruned model", "Pruned ONNX Optimized FP16"],
+    value="Pruned ONNX Optimized FP16",
     label="Model",
 )
 input_text_field = gr.Textbox(placeholder="Enter the text here", label="Text")