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Update app.py
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app.py
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM, set_seed, pipeline
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title = "SantaCoder 🎅
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description = "This is a subspace to make code generation with [SantaCoder fine-tuned on The Stack
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EXAMPLE_0 = "
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tokenizer = AutoTokenizer.from_pretrained("mrm8488/santacoder-finetuned-the-stack-bash-4")
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model = AutoModelForCausalLM.from_pretrained("mrm8488/santacoder-finetuned-the-stack-bash-4", trust_remote_code=True)
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def code_generation(gen_prompt, max_tokens, temperature=0.6, seed=42):
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM, set_seed, pipeline
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title = "SantaCoder 🎅 Dockerfiles 🐋 Completion"
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description = "This is a subspace to make code generation with [SantaCoder fine-tuned on The Stack Dockerfiles](https://huggingface.co/mrm8488/santacoder-finetuned-the-stack-dockerfiles)"
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EXAMPLE_0 = "# Dockerfile for Express API"
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CKPT = "mrm8488/santacoder-finetuned-the-stack-dockerfiles"
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examples = [[EXAMPLE_0, 55, 0.6, 42]]
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tokenizer = AutoTokenizer.from_pretrained(CKPT)
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model = AutoModelForCausalLM.from_pretrained(CKPT, trust_remote_code=True)
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def code_generation(gen_prompt, max_tokens, temperature=0.6, seed=42):
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