added components

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 from transformers import pipeline
+from gradio.components import Textbox
 
 # Load the sentiment analysis pipeline with DistilBERT
 distilbert_pipeline = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
@@ -15,12 +16,14 @@ def predict_sentiment(text):
     score = result['score']
     return f"Sentiment: {label}, Confidence: {score:.2f}"
 
+input1 = Textbox(lines=2, placeholder="Type your text here...")
+
 # Create a Gradio interface
 iface = gr.Interface(fn=predict_sentiment,
-                     inputs=gr.inputs.Textbox(lines=2, placeholder="Type your text here..."),
+                     inputs=input1
                      outputs="text",
-                     title="Sentiment Analysis with DistilBERT",
-                     description="This model predicts the sentiment of the input text. Enter a sentence to see if it's positive or negative.")
+                     title="Talk2Loop Sensitive statement tags",
+                     description="This model predicts the sensitivity of the input text. Enter a sentence to see if it's sensitive or not.")
 
 # Launch the interface
 iface.launch()