Update app.py

app.py

@@ -1,2 +1,17 @@
-# You can edit this app.py!
-                           
+import gradio as gr
+from transformers import pipeline
+
+# Load the HuggingFace text classification model
+model = pipeline("text-classification", model="textattack/bert-base-uncased-imdb", tokenizer="textattack/bert-base-uncased-imdb")
+
+# Define the Gradio interface
+def classify_text(text):
+    result = model(text)[0]
+    label = result["label"]
+    score = result["score"]
+    return f"Label: {label}, Score: {score}"
+
+inputs = gr.inputs.Textbox(lines=5, label="Input Text")
+outputs = gr.outputs.Textbox(label="Classification Result")
+
+gr.Interface(fn=classify_text, inputs=inputs, outputs=outputs).launch()