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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-350M-mono")
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def codegen(intent):
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# give 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_
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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(codegen, inputs=inp, outputs=output).launch()
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