Update app.py

app.py

@@ -16,8 +16,8 @@ tokenizer = AutoTokenizer.from_pretrained(
 classifier = pipeline("text-classification", tokenizer=tokenizer, model=model, max_length=512,
                 padding=True, truncation=True, batch_size=1)
 
-def prozesatu(testua):
-    prediction = prozesatu.classifier(testua)[0]
+def prozesatu(Testua):
+    prediction = prozesatu.classifier(Testua)[0]
     if prediction["label"]=="GAI":
         return {"Gai":prediction["score"], "Ez gai": 1-prediction["score"]}
     else:
@@ -29,8 +29,8 @@ prozesatu.classifier = classifier
 demo = gr.Interface(
     fn=prozesatu, 
     inputs=gr.Textbox(placeholder="Idatzi hemen testua..."), 
-    outputs="label", 
+    outputs="C1", 
     interpretation="default",
-    examples=[["Gaur egungo teknologiak bikainak dira..."]]).launch()
+    examples=[["Gaur egungo teknologiak bikainak dira..."]]).launch(share=True)
 
 #gr.Interface(fn=prozesatu, inputs="text", outputs="text").launch()