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import gradio as gr
from transformers import AutoModel, AutoTokenizer
# Load the model and tokenizer
model_name = "jazzmacedo/fruits-and-vegetables-detector-36"
model = AutoModel.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
# Define a prediction function
def predict(input_text):
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model(**inputs)
return str(outputs)
# Create a Gradio interface
iface = gr.Interface(
fn=predict,
inputs="text",
outputs="text",
title="Fruits and Vegetables Detector",
description="Enter text to get predictions."
)
iface.launch()
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