Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+from transformers import pipeline
+
+# Create a sentiment-analysis classifier
+classifier = pipeline("sentiment-analysis")
+
+def sentiment_analysis(sentence1, sentence2, sentence3):
+    sentences = [sentence1, sentence2, sentence3]
+    # Perform sentiment analysis on each sentence
+    results = classifier(sentences)
+    # Formatting the output with emojis
+    output = []
+    for sentence, result in zip(sentences, results):
+        emoji = '😊' if result['label'] == 'POSITIVE' else '😞'
+        output.append(f"Sentence: '{sentence}' - Label: {result['label']} {emoji}, Score: {round(result['score'], 4)}")
+    return "\n".join(output)
+
+# Create a Gradio interface with three text inputs
+interface = gr.Interface(
+    fn=sentiment_analysis,
+    inputs=["text", "text", "text"],
+    outputs="text",
+    title="Sentiment Analysis",
+    description="Enter three separate sentences to check their sentiments. An emoji will indicate the sentiment."
+)
+
+# Launch the interface
+interface.launch()