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5e3b1a8
1 Parent(s): 0cc2838
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  1. .gitattributes +27 -0
  2. app.py +23 -23
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app.py CHANGED
@@ -1,36 +1,36 @@
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  import gradio as gr
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- from transformers import AutoModelForCausalLM, AutoTokenizer
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- # prompt = "In a shocking finding, scientists discovered a herd of unicorns living in a remote, " \
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- # "previously unexplored valley, in the Andes Mountains. Even more surprising to the " \
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- # "researchers was the fact that the unicorns spoke perfect English."
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- def predict(text):
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- tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-j-6B")
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- model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-j-6B")
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- input_ids = tokenizer(text, return_tensors="pt").input_ids
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- gen_tokens = model.generate(input_ids, do_sample=True, temperature=0.9, max_length=100)
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- gen_text = tokenizer.batch_decode(gen_tokens)[0]
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- return gen_text
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- iface = gr.Interface(fn=predict, inputs="text", outputs="text")
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- iface.launch()
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  # all below works but testing
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- # import gradio as gr
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- # title = "GPT-J-6B"
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- # examples = [
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- # ['The tower is 324 metres (1,063 ft) tall,'],
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- # ["The Moon's orbit around Earth has"],
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- # ["The smooth Borealis basin in the Northern Hemisphere covers 40%"]
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- # ]
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- # gr.Interface.load("huggingface/EleutherAI/gpt-j-6B",
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- # inputs=gr.inputs.Textbox(lines=10, label="Input Text"),
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- # title=title, examples=examples).launch();
 
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  import gradio as gr
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+ # # from transformers import AutoModelForCausalLM, AutoTokenizer
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+ # # prompt = "In a shocking finding, scientists discovered a herd of unicorns living in a remote, " \
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+ # # "previously unexplored valley, in the Andes Mountains. Even more surprising to the " \
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+ # # "researchers was the fact that the unicorns spoke perfect English."
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+ # def predict(text):
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+ # tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-j-6B")
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+ # model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-j-6B")
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+ # input_ids = tokenizer(text, return_tensors="pt").input_ids
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+ # gen_tokens = model.generate(input_ids, do_sample=True, temperature=0.9, max_length=100)
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+ # gen_text = tokenizer.batch_decode(gen_tokens)[0]
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+ # return gen_text
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+ # iface = gr.Interface(fn=predict, inputs="text", outputs="text")
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+ # iface.launch()
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  # all below works but testing
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+ import gradio as gr
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+ title = "GPT-J-6B"
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+ examples = [
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+ ['The tower is 324 metres (1,063 ft) tall,'],
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+ ["The Moon's orbit around Earth has"],
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+ ["The smooth Borealis basin in the Northern Hemisphere covers 40%"]
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+ ]
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+ gr.Interface.load("huggingface/EleutherAI/gpt-j-6B",
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+ inputs=gr.inputs.Textbox(lines=10, label="Input Text"),
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+ title=title, examples=examples).launch();