Create app.py
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app.py
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from transformers import pipeline
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def compilerx_text_generation(input_data:str):
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"""_summary_
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Takes data set from source,feeds to EleutherAI/gpt-neo-2.7B model
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Args:
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input_data (str): compilerx-data
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Returns:
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json response (dict): response based on input data.
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"""
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generator = pipeline('text-generation', model='EleutherAI/gpt-neo-2.7B')
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response = generator(input_data, max_length=50, num_return_sequences=1)
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print(response[0]['generated_text'])
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return (
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{
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'status': True,
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'response': response[0]['generated_text']
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}
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)
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# Define your input data
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input_data = "Millions of Companies At Your Fingertips A premium Compiled B2B database to tap into the right contacts with buying power! We help you work smarter."
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response = compilerx_text_generation(input_data=input_data)
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print(response)
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