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Add application file
Browse files
app.py
ADDED
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import streamlit as st
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import torch
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from transformers import AutoModelForCausalLM
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from transformers import AutoTokenizer
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model_id = "niclasfw/schlager-bot-004"
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# load base LLM model and tokenizer
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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low_cpu_mem_usage=True,
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torch_dtype=torch.float16,
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load_in_4bit=True,
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)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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st.title('Schlager Bot')
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print("Enter verse (minimum of 15 words): ")
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sample = input()
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prompt = f"""### Instruction:
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Benuzte den gegebenen Input um ein Schlager Lied zu schreiben.
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### Input:
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{sample}
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### Response:
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"""
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query = st.text_input(prompt, key="input")
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input_ids = tokenizer(prompt, return_tensors="pt", truncation=True).input_ids
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outputs = model.generate(input_ids=input_ids, pad_token_id=tokenizer.eos_token_id, max_new_tokens=500, do_sample=True, top_p=0.75, temperature=0.95, top_k=15)
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print(f"Prompt:\n{sample}\n")
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print("**************")
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st.write(outputs)
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