Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
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app.py
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import gradio as gr
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import spaces
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained("TIGER-Lab/MAmmoTH2-8B-Plus", trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained("TIGER-Lab/MAmmoTH2-8B-Plus", trust_remote_code=True)
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def predict(input_text):
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outputs = model.generate(input_text, max_length=50, do_sample=True)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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demo = gr.Interface(fn=predict, inputs="text", outputs="text")
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demo.launch()
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