Update app.py

app.py

@@ -5,17 +5,19 @@ from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassifica
 import transformers
 import gradio as gr
 
-
-def image_classifier(inp):
-    return {'cat': 0.3, 'dog': 0.7}
-
 model_name = "MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-classifier = pipeline("zero-shot-classification", model="MoritzLaurer/mDeBERTa-v3-base-mnli-xnli",tokenizer=tokenizer)
-sequence_to_classify = "Metió 5 goles en dos minutos"
-candidate_labels = ["futbol","rugby","basket","tenis","golf","automovilismo","ciclismo"]
-output = classifier(sequence_to_classify, candidate_labels, multi_label=False)
+def clasificador(input)
+    classifier = pipeline("zero-shot-classification", model="MoritzLaurer/mDeBERTa-v3-base-mnli-xnli",tokenizer=tokenizer)
+    sequence_to_classify = input
+    candidate_labels = ["futbol","rugby","basket","tenis","golf","automovilismo","ciclismo"]
+    output = classifier(sequence_to_classify, candidate_labels, multi_label=False)
+    return output
+
+
+def application():
+  app = gradio.Interface(fn=clasificador, inputs="text", outputs="text", title="Clasificador de geografías urbanas")
+  return app.launch()
 
-demo = gr.Interface(fn=classifier, inputs=(sequence_to_classify, candidate_labels, multi_label=False), outputs="label")
-demo.launch()
+application()