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app.py

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+from transformers import pipeline, set_seed
+import gradio as grad
+gpt2_pipe = pipeline('text-generation', model='distilgpt2')
+set_seed(42)
+
+def generate(starting_text):
+    response= gpt2_pipe(starting_text, max_length=20, num_return_sequences=5)
+    return response
+txt=grad.Textbox(lines=1, label="English", placeholder="English Text here")
+out=grad.Textbox(lines=1, label="Generated Text")
+grad.Interface(generate, inputs=txt, outputs=out).launch()

requirements.txt

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+gradio
+transformers
+torch
+transformers[sentencepiece]