Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+import torch
+
+classifier = pipeline(
+    "text-classification",
+    model="Tirath5504/IPD-finetuned-english-text",
+    device=0 if torch.cuda.is_available() else -1
+)
+
+def classify_text(text):
+    result = classifier(text)
+    return result[0]['label'], result[0]['score']
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Hate Speech Classification with Fine-Tuned Model")
+    with gr.Row():
+        text_input = gr.Textbox(label="Input Text")
+        label_output = gr.Textbox(label="Predicted Label")
+        score_output = gr.Number(label="Prediction Score")
+    
+    text_input.change(fn=classify_text, inputs=text_input, outputs=[label_output, score_output])
+
+demo.launch()