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simple test app
Browse files- README.md +1 -1
- app.py +16 -0
- requirements.txt +1 -0
README.md
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title: Code Clippy Problem Solver
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emoji: 💻
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colorFrom: blue
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sdk: gradio
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app_file: app.py
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pinned: false
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title: Code Clippy Problem Solver
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emoji: 💻
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colorFrom: blue
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colorTo: green
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sdk: gradio
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app_file: app.py
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pinned: false
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app.py
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "EleutherAI/gpt-neo-125M"
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# define model and tokenizer
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model = AutoModelForCausalLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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tokenizer.pad_token = tokenizer.eos_token
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def generate_solution(prompt, **kwargs):
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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start = len(input_ids)
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output = model.generate(input_ids, pad_token_id=tokenizer.pad_token_id, *kwargs)
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return tokenizer.decode(output[0][start:])
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gr.Interface(generate_solution, inputs="text", outputs="text").launch()
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requirements.txt
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transformers
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