Duplicate from king007/GPT-Prompt-Generate-2

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

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README.md

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+---
+title: GPT Prompt Generate 2
+emoji: 👨🏻‍🎤
+colorFrom: purple
+colorTo: pink
+sdk: gradio
+sdk_version: 3.16.2
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: king007/GPT-Prompt-Generate-2
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+import gradio as gr
+
+tokenizer = AutoTokenizer.from_pretrained("merve/chatgpt-prompt-generator-v12")
+model = AutoModelForSeq2SeqLM.from_pretrained("merve/chatgpt-prompt-generator-v12", from_tf=True)
+#
+tokenizer2 = AutoTokenizer.from_pretrained("Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum")
+model2 = AutoModelForSeq2SeqLM.from_pretrained("Kaludi/chatgpt-gpt4-prompts-bart-large-cnn-samsum", from_tf=True)
+
+def generate(prompt, max_new_tokens):
+    batch = tokenizer(prompt, return_tensors="pt")
+    generated_ids = model.generate(batch["input_ids"], max_new_tokens=int(max_new_tokens))
+    output = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
+    return output[0]
+    
+def generate2(prompt, max_new_tokens):
+    batch = tokenizer2(prompt, return_tensors="pt")
+    generated_ids = model2.generate(batch["input_ids"], max_new_tokens=int(max_new_tokens))
+    output = tokenizer2.batch_decode(generated_ids, skip_special_tokens=True)
+    return output[0]
+    
+def generate2_test(prompt):
+    batch = tokenizer2(prompt, return_tensors="pt")
+    generated_ids = model2.generate(batch["input_ids"], max_new_tokens=150)
+    output = tokenizer2.batch_decode(generated_ids, skip_special_tokens=True)
+    return output[0]
+    
+def generate_prompt(aitype, prompt, max_new_tokens):
+    if aitype=='1':
+        return generate(prompt, max_new_tokens)
+    elif aitype=='2':
+        return generate2(prompt, max_new_tokens)
+#
+input_aitype = gr.Textbox(label = "Input a persona, e.g. photographer", value = "2")
+input_prompt = gr.Textbox(label = "Input a persona, e.g. photographer", value = "photographer")
+input_maxtokens = gr.Textbox(label = "max tokens", value = "150")
+output_component = gr.Textbox(label = "Prompt")
+examples = [["photographer"], ["developer"]]
+description = ""
+gr.Interface(generate_prompt, inputs = [input_aitype,input_prompt,input_maxtokens], outputs=output_component, examples=examples, title = "👨🏻‍🎤 ChatGPT Prompt Generator v12 👨🏻‍🎤", description=description).launch()

requirements.txt

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+tensorflow
+transformers
+torch