changes

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from transformers import pipeline
 
 # Load a pre-trained text classification model from Hugging Face
-classifier = pipeline("sentiment-analysis")
+classifier = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
 
 def classify_text(text):
     # Classify the input text
@@ -12,8 +12,8 @@ def classify_text(text):
 # Define the Gradio interface
 iface = gr.Interface(
     fn=classify_text,
-    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter text here..."),
-    outputs="text",
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs=gr.Textbox(),
     title="Text Classification",
     description="Classify text into positive or negative sentiment using Hugging Face Transformers."
 )