rvritesh167 commited on
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27e3e3e
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1 Parent(s): 54d51df

Create app.py

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  1. app.py +18 -0
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-prompts-bart-long")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompts-bart-long", 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). 📓 Simply enter a persona that you want the prompt to be generated based on. 🧙🏻🧑🏻‍🚀🧑🏻‍🎨🧑🏻‍🔬🧑🏻‍💻🧑🏼‍🏫🧑🏽‍🌾"
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+ gr.Interface(generate, inputs = input_component, outputs=output_component, examples=examples, title = "👨🏻‍🎤 ChatGPT Prompt Generator 👨🏻‍🎤", description=description).launch()