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update Initial app.py
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app.py
CHANGED
@@ -18,7 +18,7 @@ text = """All of this is right here, ready to be used
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in your favorite pizza recipes."""
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def get_story(text):
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-
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input_ids = torch.tensor(gpt2_tokenizer.encode(text, add_special_tokens=True)).unsqueeze(0) # bs=1
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gpt2_model.to(device)
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@@ -31,18 +31,21 @@ def get_story(text):
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top_k=20,
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temperature=0.7
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)
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# print(gpt2_tokenizer.decode(outputs[0], skip_special_tokens=True))
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# outputs.shape,outputs[0].shape # (torch.Size([1, 500]), torch.Size([500]))
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-
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input = gr.Textbox(lines=2, placeholder="Start your story here...", label='Story starter')
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output = gr.Textbox(label='The Big Story')
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iface = gr.Interface(fn=get_story,
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inputs=input,
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outputs=output,
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title='The Complete Story',
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description='Enter the beginning of your story and we will finish it for you.'
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)
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iface.launch()
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in your favorite pizza recipes."""
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def get_story(text):
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print(text)
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input_ids = torch.tensor(gpt2_tokenizer.encode(text, add_special_tokens=True)).unsqueeze(0) # bs=1
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gpt2_model.to(device)
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top_k=20,
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temperature=0.7
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)
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print(f'outputs: {gpt2_tokenizer.decode(outputs[0], skip_special_tokens=True)}')
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return(gpt2_tokenizer.decode(outputs[0], skip_special_tokens=True))
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# print(gpt2_tokenizer.decode(outputs[0], skip_special_tokens=True))
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# outputs.shape,outputs[0].shape # (torch.Size([1, 500]), torch.Size([500]))
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# In the dark night he effortlessly climbed into the spacecraft and closed the ramped door.
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input = gr.Textbox(lines=2, placeholder="Start your story here...", label='Story starter')
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output = gr.Textbox(label='The Big Story', lines=300)
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iface = gr.Interface(fn=get_story,
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inputs=input,
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outputs=output,
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title='The Complete Story',
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description='Enter the beginning of your story and we will finish it for you.',
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sample_inputs='In the dark night he effortlessly climbed into the spacecraft and closed the ramped door.'
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)
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iface.launch()
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