Create app.py

app.py

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+import gradio as gr
+from summarizer import TransformerSummarizer
+
+title = "Summarizer"
+description = """
+This demo is GPT-2 based Summarizer, 
+works with English, Ukrainian, and Russian (and a few other languages too, it`s GPT-2 after all).
+"""
+
+
+def start_fn(article_input: str) -> str:
+    """
+    GPT-2 based solution, input full text, output summarized text
+    :param article_input:
+    :return summarized article_output:
+    """
+    GPT2_model = TransformerSummarizer(transformer_type="GPT2", transformer_model_key="gpt2-medium")
+    full = ''.join(GPT2_model(article_input, min_length=60))
+    return full
+
+
+face = gr.Interface(fn=start_fn,
+                    inputs=gr.inputs.Textbox(lines=2, placeholder="Paste article here.", label='Input Article'),
+                    outputs=gr.inputs.Textbox(lines=2, placeholder="Summarized article here.", label='Summarized '
+                                                                                                     'Article'),
+                    title=title,
+                    description=description,)
+face.launch(server_name="0.0.0.0", share=True)