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import gradio as gr
from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
import json
with open("tag_map.json") as tag_map_file:
tag_map = json.load(tag_map_file)
reverse_map = {j: i for i, j in tag_map.items()}
model_name_or_path = "roberta-base"
config = AutoConfig.from_pretrained(model_name_or_path)
config.num_classes = len(tag_map)
model = AutoModelForSequenceClassification.from_pretrained(
model_name_or_path, config=config
)
tokenizer = AutoTokenizer.from_pretrained(model_name_or_path)
def classify(text):
return reverse_map[
model(**tokenizer(text, return_tensors="pt")).logits.argmax(-1).item()
]
iface = gr.Interface(fn=classify, inputs="text", outputs="text")
iface.launch()
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