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Duplicate from merve/ChatGPT-prompt-generator
Browse filesCo-authored-by: Merve Noyan <merve@users.noreply.huggingface.co>
- .gitattributes +34 -0
- README.md +14 -0
- app.py +18 -0
- requirements.txt +3 -0
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README.md
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---
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title: ChatGPT Prompt Generator
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emoji: π¨π»βπ€
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colorFrom: purple
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colorTo: pink
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sdk: gradio
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sdk_version: 3.16.2
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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
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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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app.py
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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import gradio as gr
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tokenizer = AutoTokenizer.from_pretrained("merve/chatgpt-prompts-bart-long")
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model = AutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompts-bart-long", from_tf=True)
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def generate(prompt):
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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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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). π Simply enter a persona that you want the prompt to be generated based on. π§π»π§π»βππ§π»βπ¨π§π»βπ¬π§π»βπ»π§πΌβπ«π§π½βπΎ"
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gr.Interface(generate, inputs = input_component, outputs=output_component, examples=examples, title = "π¨π»βπ€ ChatGPT Prompt Generator π¨π»βπ€", description=description).launch()
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requirements.txt
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tensorflow
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transformers
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torch
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