Create app.py

app.py

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+from transformers import pipeline
+import gradio as gr
+
+# Load sentiment analysis pipeline
+# classifier_pipeline = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
+classifier_pipeline = ("sentiment-analysis")
+
+# Define classification function
+def classify_text(text):
+    output = classifier_pipeline(text)
+    return output[0]  # Extract the first result from the list
+
+# Define Gradio interface
+interface = gr.Interface(
+    fn=classify_text,
+    inputs=gr.Textbox(label="Enter sentence here"),
+    outputs=gr.Label(),
+    examples=["I am hungry", "I love this product!", "This is the worst experience ever."]
+)
+
+# Launch the interface
+interface.launch()