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import gradio as gr
from transformers import AutoModelForSequenceClassification
import torch
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("Gerard-1705/bertin_base_climate_detection_es")
model = AutoModelForSequenceClassification.from_pretrained("Gerard-1705/bertin_base_climate_detection_es")
id2label = {0: "NEGATIVE", 1: "POSITIVE"}
label2id = {"NEGATIVE": 0, "POSITIVE": 1}
def inference_fun(user_input):
inputs = tokenizer(user_input, return_tensors="pt")
with torch.no_grad():
logits = model(**inputs).logits
predicted_class_id = logits.argmax().item()
output_tag = model.config.id2label[predicted_class_id]
return output_tag
iface = gr.Interface(fn=inference_fun, inputs="text", outputs="text")
iface.launch() |