Update app.py
Browse files
app.py
CHANGED
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import streamlit as st
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load the model and tokenizer
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model_name = "aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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#
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prompt = st.text_input("Enter your prompt:")
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if st.button("Generate"):
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=100)
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import streamlit as st
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load the model and tokenizer from the Hugging Face repository
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model_name = "aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored"
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st.write(f"Loading model {model_name}...")
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# The model and tokenizer will be downloaded and cached locally
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Function to generate text based on user input
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def generate_text(prompt):
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=100)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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# Streamlit UI
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st.title("DarkIdol Text Generation")
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user_input = st.text_area("Enter your prompt:")
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if st.button("Generate"):
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with st.spinner("Generating..."):
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output_text = generate_text(user_input)
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st.write("Generated Text:")
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st.write(output_text)
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