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Create app.py
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app.py
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import gradio as grad
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codegen_tkn = AutoTokenizer.from_pretrained('Salesforce/codegen-350M-mono')
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mdl = AutoModelForCausalLM.from_pretrained('Salesforce/codegen-250M-mono')
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def codegen(intent):
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# given input as text which reflects intent of the program.
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# text = " write a function which takes 2 numbers as input
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# and returns the larger of the two"
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input_ids = codegen_tkn(intent, return_tensors = 'pt').input_ids
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gen_ids = mdl.generate(input_ids, max_length = 128)
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response = codegen_tkn.decode(gen_ids[0], skip_special_tokens = True)
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return response
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output = grad.Textbox(lines = 1, label = 'Generated Python Code', placeholder = '')
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inp = grad.Textbox(lines = 1, label = 'Place your intent here')
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grad.Interface(
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codegen,
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inputs = inp,
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outputs = output
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).launch()
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