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  1. README.md +0 -1
  2. app.py +48 -0
  3. requirements.txt +2 -0
README.md CHANGED
@@ -10,4 +10,3 @@ pinned: false
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  license: apache-2.0
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
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  license: apache-2.0
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  ---
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app.py ADDED
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+ import gradio as gr
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+ from prompt_generator import generate_prompt
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+
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+ tokenizers = [
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+ "google/gemma-7b",
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+ "meta-llama/Llama-2-7b",
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+ "mistralai/Mistral-7B-v0.1",
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+ "facebook/opt-2.7b",
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+ "microsoft/phi-2",
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+ "THUDM/chatglm3-6b",
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+ "Qwen/Qwen1.5-7B-Chat",
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+ "bigscience/bloom-560m",
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+ "ise-uiuc/Magicoder-S-DS-6.7B",
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+ "google/flan-t5-base",
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+ "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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+ "google-bert/bert-base-uncased",
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+ ]
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+
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+
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+ def generate(model_id, num_tokens):
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+ output_file = f"prompt_{num_tokens}.jsonl"
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+ prompt = generate_prompt(model_id, int(num_tokens), silent=True, output_file=output_file)
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+ return prompt, output_file
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+
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+
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+ demo = gr.Interface(
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+ fn=generate,
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+ title="Prompt Generator",
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+ description="Generate prompts with a given length for testing transformer models. "
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+ "Prompt source: https://archive.org/stream/alicesadventures19033gut/19033.txt",
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+ inputs=[
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+ gr.Dropdown(label="Tokenizer", choices=tokenizers, allow_custom_value=True),
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+ gr.Textbox(label="Number of Tokens"),
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+ ],
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+ outputs=[gr.Textbox(label="prompt", show_copy_button=True), gr.File(label="Json file")],
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+ examples=[
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+ ["mistralai/Mistral-7B-v0.1", 32],
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+ ["mistralai/Mistral-7B-v0.1", 64],
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+ ["mistralai/Mistral-7B-v0.1", 128],
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+ ["mistralai/Mistral-7B-v0.1", 512],
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+ ["mistralai/Mistral-7B-v0.1", 1024],
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+ ["mistralai/Mistral-7B-v0.1", 2048],
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+ ],
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+ cache_examples=False,
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+ allow_flagging=False,
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+ )
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+
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+ demo.launch()
requirements.txt ADDED
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+ transformers
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+ git+https://github.com/helena-intel/prompt-generator.git