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app.py

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+import gradio as gr
+from transformers import pipeline
+
+generator = pipeline('text-generation', model = 'gpt2')
+
+def text_generator(sample, max_length):
+  outputs = generator(sample, max_length = int(max_length), num_return_sequences=3)
+  return outputs[0]["generated_text"], outputs[1]["generated_text"], outputs[2]["generated_text"]
+
+examples = [["Hello, I'm a language model", "45"], ["Hello, I'm a designer", "30"]]
+
+demo = gr.Interface(fn=text_generator, inputs=[gr.Textbox(lines=2, placeholder="Enter sample text here", label="Sample text"), gr.Textbox(lines=1, label="Length of generated text")], outputs=[gr.Textbox(label="Generated text 1"), gr.Textbox(label="Generated text 2"), gr.Textbox(label="Generated text 3")], examples=examples)
+demo.launch( debug = True )

requirements.txt

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+torch
+timm
+sentencepiece
+transformers