Create app.py

app.py

@@ -0,0 +1,15 @@
+from transformers import pipeline, set_seed
+import gradio as gr
+
+model_name = "distilgpt2"
+gpt2_pipeline = pipeline("text-generation", model=model_name)
+set_seed(42)
+
+def generate(text):
+    response = gpt2_pipeline(text, max_length=20, num_return_sequences=5)
+    return response
+
+in_text = gr.Textbox(lines=1, label="English", placeholder="English text here")
+out = gr.Textbox(lines=1, label="Generated text")
+
+gr.Interface(generate, inputs=in_text, outputs=out).launch()