Update app.py

app.py

@@ -17,10 +17,17 @@ classifier = pipeline("text-classification", tokenizer=tokenizer, model=model, m
                 padding=True, truncation=True, batch_size=1)
 
 def prozesatu(testua):
-  
     prediction = prozesatu.classifier(testua)[0]
-    return 'C1:{}. Probabilitatea:{:.2f}'.format(prediction["label"], round(prediction["score"], 2))
+    return {"Gai":prediction["score"], "Ez gai": 1-prediction["score"]}
+    #return 'C1:{}. Probabilitatea:{:.2f}'.format(prediction["label"], round(prediction["score"], 2))
 
 prozesatu.classifier = classifier
 
-gr.Interface(fn=prozesatu, inputs="text", outputs="text").launch()
+demo = gr.Interface(
+    fn=prozesatu, 
+    inputs=gr.Textbox(placeholder="Idatzi hemen testua..."), 
+    outputs="label", 
+    interpretation="default",
+    examples=[["Gaur egungo teknologiak bikainak dira..."]]).launch()
+
+#gr.Interface(fn=prozesatu, inputs="text", outputs="text").launch()