Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from transformers import pipeline
 
 # Initialize the sentiment analysis pipeline with your model
-sentiment_pipeline = pipeline("sentiment-analysis", model="quocviethere/imdb-roberta")
+sentiment_pipeline = pipeline("sentiment-analysis", model="your-username/imdb-roberta")
 
 def analyze_sentiment(text):
     result = sentiment_pipeline(text)[0]
@@ -12,13 +12,17 @@ def analyze_sentiment(text):
     confidence = f"Confidence: {round(score * 100, 2)}%"
     return sentiment, confidence
 
-# Define the Gradio interface
+# Define the Gradio interface using the updated API
 iface = gr.Interface(
     fn=analyze_sentiment,
-    inputs=gr.inputs.Textbox(lines=5, placeholder="Enter a movie review here...", label="Movie Review"),
+    inputs=gr.Textbox(
+        lines=5,
+        placeholder="Enter a movie review here...",
+        label="Movie Review"
+    ),
     outputs=[
-        gr.outputs.Textbox(label="Sentiment"),
-        gr.outputs.Textbox(label="Confidence")
+        gr.Textbox(label="Sentiment"),
+        gr.Textbox(label="Confidence")
     ],
     title="IMDb Sentiment Analysis with RoBERTa",
     description="Analyze the sentiment of movie reviews using a fine-tuned RoBERTa model.",
@@ -30,4 +34,4 @@ iface = gr.Interface(
 )
 
 # Launch the interface
-iface.launch()
+iface.launch()