Create app.py

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the hate speech detection model from Hugging Face
+classifier = pipeline("text-classification", model="unitary/unbiased-toxic-roberta")
+
+def detect_hate_speech(text):
+    """Detect hate speech in the given text."""
+    sentences = text.split(".")
+    hate_speech = []
+
+    for sentence in sentences:
+        if sentence.strip():
+            result = classifier(sentence.strip())[0]
+            if result["label"] in ["toxic", "insult", "hate"]:
+                hate_speech.append(sentence.strip())
+
+    return hate_speech if hate_speech else "No hate speech detected"
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=detect_hate_speech,
+    inputs=gr.Textbox(lines=5, placeholder="Enter text here..."),
+    outputs="json",
+    title="Hate Speech Detection",
+    description="Enter a sentence or paragraph to check for hate speech.",
+)
+
+# Launch the app
+iface.launch()