Update app.py

app.py

@@ -17,7 +17,6 @@ classifier = pipeline("text-classification", tokenizer=tokenizer, model=model, m
                 padding=True, truncation=True, batch_size=1)
 
 def prozesatu(Testua, request: gr.Request):
-    return str(request.headers["accept-language"])
     prediction = prozesatu.classifier(Testua)[0]
     if prediction["label"]=="GAI":
         return {"Gai":prediction["score"], "Ez gai": 1-prediction["score"]}
@@ -27,12 +26,20 @@ def prozesatu(Testua, request: gr.Request):
 
 prozesatu.classifier = classifier
 
-demo = gr.Interface(
-    fn=prozesatu, 
-    inputs=gr.Textbox(label="Testua", placeholder="Idatzi hemen testua..."), 
-    outputs="label", 
-    #interpretation="default",
-    #examples=[["Gaur egungo teknologiak bikainak dira..."]]
-    ).launch()
-
-#gr.Interface(fn=prozesatu, inputs="text", outputs="text").launch()
+def ezabatu(Testua):
+  return ""
+
+with gr.Blocks() as demo:
+  with gr.Row():
+    with gr.Column():
+      input = gr.Textbox(label="Testua")
+      with gr.Row():
+        bidali_btn = gr.Button("Bidali")
+        ezabatu_btn = gr.Button("Ezabatu")
+    
+    label = gr.Label(num_top_classes=2, label="C1 maila")
+  
+    
+  bidali_btn.click(fn=prozesatu, inputs=input, outputs=label)
+  ezabatu_btn.click(fn=ezabatu, inputs=input, outputs=input)
+demo.launch()