Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the sentiment-analysis pipeline
+sentiment_analyzer = pipeline("sentiment-analysis")
+
+# Define the function to analyze text sentiment
+def analyze_sentiment(text):
+    result = sentiment_analyzer(text)
+    sentiment = result[0]['label']
+    score = result[0]['score']
+    return f"Sentiment: {sentiment} (Confidence: {score:.2f})"
+
+# Create the Gradio interface
+app = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(label="Enter text to analyze"),
+    outputs=gr.Textbox(label="Sentiment Analysis Result"),
+    title="Text Sentiment Analyzer",
+    description="Analyze the sentiment of text input using a pre-trained NLP model."
+)
+
+if __name__ == "__main__":
+    app.launch()