migueldeguzmandev
commited on
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Parent(s):
7d3f49d
Update app.py
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app.py
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import gradio as gr
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gr.load("models/migueldeguzmandev/GPT2XL_RLLMv19-4").launch()
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import gradio as gr
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gr.load("models/migueldeguzmandev/GPT2XL_RLLMv19-4").launch()import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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# Load the model and tokenizer
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model_name = "migueldeguzmandev/GPT2XL_RLLMv19-4"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Set the pad token ID to the EOS token ID
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model.config.pad_token_id = model.config.eos_token_id
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# Define the inference function
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def generate_response(input_text, temperature):
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# Tokenize the input text
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inputs = tokenizer(input_text, return_tensors="pt")
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input_ids = inputs["input_ids"]
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attention_mask = inputs["attention_mask"]
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# Generate the model's response
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output = model.generate(
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input_ids,
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attention_mask=attention_mask,
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max_length=300,
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num_return_sequences=1,
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temperature=temperature,
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do_sample=True, # Set do_sample to True when using temperature
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)
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# Decode the generated response
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response = tokenizer.decode(output[0], skip_special_tokens=True)
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return response
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# Create the Gradio interface
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interface = gr.Interface(
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fn=generate_response,
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inputs=[
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gr.Textbox(label="User Input"),
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gr.Slider(minimum=0.000000000000000000000000001, maximum=1.0, value=0.7, step=0.1, label="Temperature"),
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],
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outputs=gr.Textbox(label="Model Response"),
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title="TestOnlyRLLMv19Layer4",
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description=(
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"""
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RLLMv19 is a spin-off experiment focusing on improving of GPT2XL's robustness. I created this gradio app to test model outputs and compare it to RLLMv3 prototype(<a href:'https://www.lesswrong.com/posts/vZ5fM6FtriyyKbwi9/betterdan-ai-machiavelli-and-oppo-jailbreaks-vs-sota-models'>see relevant post</a>).
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If you are interested in trying a full prototype - <a href:'https://huggingface.co/spaces/migueldeguzmandev/RLLMv3.2-10' >Try this gradio app!</a>.
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"""
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),
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)
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# Launch the interface without the share option
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interface.launch()
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