Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Cargar el modelo
+classifier = pipeline("text-classification", model="hafsa101010/clasificador-tweets-sentiment")
+
+# Definir la interfaz
+def classify_sentiment(text):
+    result = classifier(text)[0]
+    label_map = {
+        "LABEL_0": "negative",
+        "LABEL_1": "neutral",
+        "LABEL_2": "positive"
+    }
+    return f"{label_map.get(result['label'], result['label'])} ({round(result['score']*100, 2)}%)"
+
+demo = gr.Interface(fn=classify_sentiment, inputs="text", outputs="text", title="Clasificador de Sentimientos en Tweets")
+
+demo.launch()