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app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load model (dont really know what this is doing under the hood)
+generator = pipeline('text-generation', model='pere/norwegian-gpt2-social')
+
+
+# Create function that outputs generated text
+def complete_prompt(prompt):
+    output = generator(prompt, max_length=30, num_return_sequences=5)
+    return "\n \n".join([l['generated_text'] for l in output])
+
+demo = gr.Interface(fn=complete_prompt, inputs="text", outputs="text", examples=["Hvor var du når oddvar","god dag mann, "])
+
+with gr.Blocks() as demo:
+    gr.Markdown(
+    """
+    # Hello AI Academy!
+    Ive made a very simple sentence completion app based on the norwegian-gpt2-social model on huggingface made by the user pere.
+    It is trained on wikipedia, twitter, some news corpus, reddit and even VG debatt(!!), so prepare to be morally shocked by its results (I take no responsibility).
+
+    """)
+    gr.Interface(fn=complete_prompt, inputs="text", outputs="text", examples=["Hvor var du når oddvar","god dag mann, ", "moderatoren er", "svensker", "The worst thing about norway"])
+
+if __name__ == "__main__":
+    demo.launch()