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Duplicate from king007/GPT-Prompt-Generate-2

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Co-authored-by: king007 <king007@users.noreply.huggingface.co>

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  1. .gitattributes +34 -0
  2. README.md +14 -0
  3. app.py +40 -0
  4. requirements.txt +3 -0
.gitattributes ADDED
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README.md ADDED
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+ ---
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+ title: GPT Prompt Generate 2
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+ emoji: πŸ‘¨πŸ»β€πŸŽ€
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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: king007/GPT-Prompt-Generate-2
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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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+ tokenizer2 = AutoTokenizer.from_pretrained("Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum")
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+ model2 = AutoModelForSeq2SeqLM.from_pretrained("Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum", from_tf=True)
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+
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+ def generate(prompt, max_new_tokens):
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+ batch = tokenizer(prompt, return_tensors="pt")
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+ generated_ids = model.generate(batch["input_ids"], max_new_tokens=int(max_new_tokens))
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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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+ def generate2(prompt, max_new_tokens):
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+ batch = tokenizer2(prompt, return_tensors="pt")
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+ generated_ids = model2.generate(batch["input_ids"], max_new_tokens=int(max_new_tokens))
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+ output = tokenizer2.batch_decode(generated_ids, skip_special_tokens=True)
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+ return output[0]
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+
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+ def generate2_test(prompt):
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+ batch = tokenizer2(prompt, return_tensors="pt")
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+ generated_ids = model2.generate(batch["input_ids"], max_new_tokens=150)
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+ output = tokenizer2.batch_decode(generated_ids, skip_special_tokens=True)
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+ return output[0]
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+
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+ def generate_prompt(aitype, prompt, max_new_tokens):
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+ if aitype=='1':
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+ return generate(prompt, max_new_tokens)
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+ elif aitype=='2':
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+ return generate2(prompt, max_new_tokens)
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+ #
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+ input_aitype = gr.Textbox(label = "Input a persona, e.g. photographer", value = "2")
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+ input_prompt = gr.Textbox(label = "Input a persona, e.g. photographer", value = "photographer")
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+ input_maxtokens = gr.Textbox(label = "max tokens", value = "150")
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+ output_component = gr.Textbox(label = "Prompt")
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+ examples = [["photographer"], ["developer"]]
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+ description = ""
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+ gr.Interface(generate_prompt, inputs = [input_aitype,input_prompt,input_maxtokens], 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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+ tensorflow
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+ transformers
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+ torch