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import transformers
from transformers import GraphormerForGraphClassification
import gradio as gr
import json
import os
try:
import toml
except ImportError:
os.system('pip install toml')
import toml
print('todo en orden')
model = GraphormerForGraphClassification.from_pretrained("PedroLancharesSanchez/graph-regression")
def predict(instancia):
instancia=json.loads(instancia)
instancia_preprocesada=preprocess_item(instancia)
inputs={}
inputs['input_nodes'] = torch.tensor([instancia_preprocesada['input_nodes']])
inputs['input_edges'] = torch.tensor([instancia_preprocesada['input_edges']])
inputs['attn_bias'] = torch.tensor([instancia_preprocesada['attn_bias']])
inputs['in_degree'] = torch.tensor([instancia_preprocesada['in_degree']])
inputs['out_degree'] = torch.tensor([instancia_preprocesada['out_degree']])
inputs['spatial_pos'] = torch.tensor([instancia_preprocesada['spatial_pos']])
inputs['attn_edge_type'] = torch.tensor([instancia_preprocesada['attn_edge_type']])
with torch.no_grad():
logits = model(**inputs).logits
predicted_class_id = logits.argmax().item()
return str(logits.item())
gr.Interface(fn=predict, inputs='str', outputs='str',examples=['grafo1.txt','grafo2.txt','grafo3.txt']).launch(share=False)
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