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Duplicate from merve/chatgpt-prompt-generator-v12

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Co-authored-by: Merve Noyan <merve@users.noreply.huggingface.co>

Files changed (4) hide show
  1. .gitattributes +34 -0
  2. README.md +14 -0
  3. app.py +18 -0
  4. requirements.txt +3 -0
.gitattributes ADDED
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README.md ADDED
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+ ---
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+ title: Chatgpt Prompt Generator V12
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+ emoji: 🐨
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+ colorFrom: blue
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+ colorTo: blue
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+ sdk: gradio
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+ sdk_version: 3.20.1
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+ app_file: app.py
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+ pinned: false
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+ license: apache-2.0
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+ duplicated_from: merve/chatgpt-prompt-generator-v12
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+ import gradio as gr
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+
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+ tokenizer = AutoTokenizer.from_pretrained("merve/chatgpt-prompt-generator-v12")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompt-generator-v12", from_tf=True)
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+
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+ def generate(prompt):
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+
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+ batch = tokenizer(prompt, return_tensors="pt")
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+ generated_ids = model.generate(batch["input_ids"], max_new_tokens=150)
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+ output = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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+ return output[0]
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+
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+ input_component = gr.Textbox(label = "Input a persona, e.g. photographer", value = "photographer")
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+ output_component = gr.Textbox(label = "Prompt")
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+ examples = [["photographer"], ["developer"]]
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+ description = "This app generates ChatGPT prompts, it's based on a BART model trained on [this dataset](https://huggingface.co/datasets/fka/awesome-chatgpt-prompts). πŸ““ Simply enter a persona that you want the prompt to be generated based on. πŸ§™πŸ»πŸ§‘πŸ»β€πŸš€πŸ§‘πŸ»β€πŸŽ¨πŸ§‘πŸ»β€πŸ”¬πŸ§‘πŸ»β€πŸ’»πŸ§‘πŸΌβ€πŸ«πŸ§‘πŸ½β€πŸŒΎ"
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+ gr.Interface(generate, inputs = input_component, outputs=output_component, examples=examples, title = "πŸ‘¨πŸ»β€πŸŽ€ ChatGPT Prompt Generator v12 πŸ‘¨πŸ»β€πŸŽ€", description=description).launch()
requirements.txt ADDED
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+ transformers
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+ torch
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+ tensorflow