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import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
# Load your model from Hugging Face Transformers
model_name = "deepseek-ai/DeepSeek-V2-Lite"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
# Define a function to use the model
def math_inference(input_text):
inputs = tokenizer(input_text, return_tensors="pt")
output = model.generate(**inputs)
response = tokenizer.decode(output[0], skip_special_tokens=True)
return response
# Create a Gradio interface
iface = gr.Interface(
fn=math_inference,
inputs=gr.Textbox(prompt="Input math question"),
outputs=gr.Textbox(prompt="Math answer"),
layout="vertical",
title="Math Solver"
)
# Launch the Gradio interface
iface.launch()
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