Update app.py

app.py

@@ -1,17 +0,0 @@
-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()