Update app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+import onnxruntime 
+from transformars import AutoTokenizer
+import torch, json
+
+token = AutoTokenizer.from_pretrained('distilbert-base-uncased-finetuned-sst-2-english')
+
+types = [{0:'Positive'},1:{'Negative'}]
+
+inf_session = onnxruntime.InferenceSession('classifier_quantizer.onnx')
+input_name = inf_session.get_inputs()[0].name
+output_name = inf_session.get_outputs()[0].name
+
+def classify(review):
+    input_ids = token(review)['inputs_ids'][:512]
+    logits = inf_session.run([output_name],{input_name: [input_ids]})[0]
+    logits = torch.FloatTensorlogits(logits)
+    probs = torch.sigmoid(logits)[0]
+    return dict(zip(types,map(float,probs)))
+
+label = gr.outputs.label()
+iface = gr.Interface(fn=classify,inputs='text',outputs = label)
+iface.launch(inline=False)