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)