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Update app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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generator = pipeline(
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def chat_assistant(chat_history, user_input):
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"""Generate a response based on user input and chat history."""
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import gradio as gr
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from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
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# Load model with 8-bit precision
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model_name = "yasserrmd/SmolLM2-156M-synthetic-dlp"
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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load_in_8bit=True, # Enable 8-bit precision
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device_map="auto" # Automatically allocate to GPU/CPU
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)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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# Load the pipeline
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generator = pipeline(
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"text-generation",
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model=model,
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tokenizer=tokenizer
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)
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def chat_assistant(chat_history, user_input):
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"""Generate a response based on user input and chat history."""
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