kk

app.py

@@ -15,11 +15,13 @@ input_name = inf_session.get_inputs()[0].name
 output_name = inf_session.get_outputs()[0].name
 
 def classify_recipe(description):
-  input_ids = tokenizer(description)['input_ids'][:512]
-  logits = inf_session.run([output_name],{input_name:[input_ids]})[0]
-  logits = torch.FloatTensor(logits)
-  probs = torch.sigmoid(logits)[0]
-  return dict(zip(recipe, map(float, probs))) 
+    input_ids = tokenizer(description)['input_ids'][:512]
+    logits = inf_session.run([output_name], {input_name: [input_ids]})[0]
+    logits = torch.FloatTensor(logits)
+    probs = torch.sigmoid(logits)[0]
+    
+    result = {class_label: float(prob) for class_label, prob in zip(recipe, probs)}
+    return result
 
 label = gr.outputs.Label(num_top_classes=5)
 iface = gr.Interface(fn=classify_recipe, inputs="text", outputs=label)