Create app.py

app.py

@@ -0,0 +1,22 @@
+from transformers import pipeline
+import gradio as gr
+
+# Load pre-trained sentiment analysis pipeline
+sentiment_pipeline = pipeline("sentiment-analysis")
+
+# Function to analyze sentiment
+def analyze_sentiment(text):
+    results = sentiment_pipeline(text)
+    return {result['label']: round(result['score'], 2) for result in results}
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=2, placeholder="Enter a sentence here..."),
+    outputs=gr.Label(num_top_classes=3),
+    title="Sentiment Analysis",
+    description="Enter a sentence, and the model will classify it as Positive, Negative, or Neutral."
+)
+
+# Launch the app
+iface.launch()