Upload app.py

app.py

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+# -*- coding: utf-8 -*-
+"""app.py
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1mHMq54a9glSyzg_CVIP0wshX9T8NUtmx
+"""
+
+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline(model="delarosajav95/HateSpeech-BETO-cased-v2")
+#function that Gradio will use to classify
+def classify_text(inputs):
+  result = pipe(inputs, return_all_scores=True)
+  output = []
+  label_mapping = {
+    'LABEL_0': 'Non-Hate Speech',
+    'LABEL_1': 'Hate Speech'
+  }
+  for i, predictions in enumerate(result):
+    for pred in predictions:
+      label = label_mapping.get(pred['label'], pred['label'])
+      score = pred['score']
+      output.append(f"{label}: {score:.2%}")
+
+  return "\n".join(output)
+#defining Gradio interface
+textbox = gr.Textbox(lines=3, placeholder="Type a statement, comment, or review for evaluation (e.g., 'Such people don't deserve respect.')",
+                     label="User Comment/Post:")
+
+output_box = gr.Textbox(label="Results:")
+
+iface = gr.Interface(
+    fn=classify_text,
+    inputs=textbox,
+    outputs=output_box,
+    live=True,
+    title="Spanish Hate Speech Classifier for User Content",
+    allow_flagging="never",
+)
+
+# Launch the interface
+iface.launch()