Create app.py

app.py

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+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")
+
+def analyze_sentiment(text):
+    result = sentiment_pipeline(text)[0]
+    label = result['label']
+    score = result['score']
+    sentiment = "Positive 😊" if label == "POSITIVE" else "Negative 😞"
+    confidence = f"Confidence: {round(score * 100, 2)}%"
+    return sentiment, confidence
+
+# Define the Gradio interface using the updated API
+iface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(
+        lines=5,
+        placeholder="Enter a movie review here...",
+        label="Movie Review"
+    ),
+    outputs=[
+        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.",
+    examples=[
+        ["I loved the cinematography and the story was captivating."],
+        ["The movie was a complete waste of time. Poor acting and boring plot."]
+    ],
+    theme="default"
+)
+
+# Launch the interface
+iface.launch()