demo

app.py

@@ -1,7 +1,23 @@
 import gradio as gr
+from transformers import pipeline
 
-def greet(name):
-    return "Hello " + name + "!!"
+generator = pipeline('text-generation', model='gpt2')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def generate(text):
+    classifier = pipeline("sentiment-analysis")
+    result = classifier(text)
+    return result
+
+examples = [
+    ["SE is the best company in the world!"],
+    ["GE is the worst company in the world!"],
+]
+
+demo = gr.Interface(
+    fn=generate,
+    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
+    outputs=gr.outputs.Textbox(label="Generated Text"),
+    examples=examples
+)
+
+demo.launch()