ch0fas commited on
Commit ·
384bac5
1
Parent(s): d1b7d16
Grandes cosas sucediendo
Browse files- app.py +53 -0
- model/added_tokens.json +3 -0
- model/bpe.codes +0 -0
- model/config.json +47 -0
- model/label_mapping.json +1 -0
- model/model.safetensors +3 -0
- model/tokenizer_config.json +57 -0
- model/training_args.bin +3 -0
- model/vocab.txt +0 -0
- requirements.txt +4 -0
app.py
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import gradio as gr
|
| 2 |
+
import torch
|
| 3 |
+
import json
|
| 4 |
+
from transformers import AutoTokenizer, AutoModelForSequenceClassification
|
| 5 |
+
|
| 6 |
+
MODEL_PATH = "./model"
|
| 7 |
+
|
| 8 |
+
def load_model():
|
| 9 |
+
tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH, use_fast=False)
|
| 10 |
+
model = AutoModelForSequenceClassification.from_pretrained(MODEL_PATH)
|
| 11 |
+
model.eval()
|
| 12 |
+
|
| 13 |
+
with open(f"{MODEL_PATH}/label_mapping.json") as f:
|
| 14 |
+
label_mapping = json.load(f)
|
| 15 |
+
|
| 16 |
+
return tokenizer, model, label_mapping
|
| 17 |
+
|
| 18 |
+
tokenizer, model, label_mapping = load_model()
|
| 19 |
+
|
| 20 |
+
def predict(text: str):
|
| 21 |
+
if not text.strip():
|
| 22 |
+
return {}
|
| 23 |
+
|
| 24 |
+
inputs = tokenizer(
|
| 25 |
+
text,
|
| 26 |
+
return_tensors="pt",
|
| 27 |
+
padding="max_length",
|
| 28 |
+
truncation=True,
|
| 29 |
+
max_length=128,
|
| 30 |
+
)
|
| 31 |
+
with torch.no_grad():
|
| 32 |
+
logits = model(**inputs).logits
|
| 33 |
+
|
| 34 |
+
probs = torch.softmax(logits, dim=-1).squeeze()
|
| 35 |
+
scores = {label_mapping[str(i)]: float(probs[i]) for i in range(len(probs))}
|
| 36 |
+
return scores
|
| 37 |
+
|
| 38 |
+
demo = gr.Interface(
|
| 39 |
+
fn=predict,
|
| 40 |
+
inputs=gr.Textbox(
|
| 41 |
+
lines=5,
|
| 42 |
+
placeholder="Write something",
|
| 43 |
+
label="Example Tweet"
|
| 44 |
+
),
|
| 45 |
+
outputs=gr.Label(
|
| 46 |
+
num_top_classes=len(label_mapping),
|
| 47 |
+
label="Predicted Label"
|
| 48 |
+
),
|
| 49 |
+
title="Radical Speech Detector",
|
| 50 |
+
description="Enter a text and the model will classify it into one of the radical speech categories.\n\n\nBy Sofia Maldonado, Viviana Toledo & Oscar Rocha",
|
| 51 |
+
)
|
| 52 |
+
|
| 53 |
+
demo.launch()
|
model/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<mask>": 64000
|
| 3 |
+
}
|
model/bpe.codes
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model/config.json
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_cross_attention": false,
|
| 3 |
+
"architectures": [
|
| 4 |
+
"RobertaForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
+
"dtype": "float32",
|
| 10 |
+
"eos_token_id": 2,
|
| 11 |
+
"gradient_checkpointing": false,
|
| 12 |
+
"hidden_act": "gelu",
|
| 13 |
+
"hidden_dropout_prob": 0.1,
|
| 14 |
+
"hidden_size": 768,
|
| 15 |
+
"id2label": {
|
| 16 |
+
"0": "LABEL_0",
|
| 17 |
+
"1": "LABEL_1",
|
| 18 |
+
"2": "LABEL_2",
|
| 19 |
+
"3": "LABEL_3",
|
| 20 |
+
"4": "LABEL_4",
|
| 21 |
+
"5": "LABEL_5"
|
| 22 |
+
},
|
| 23 |
+
"initializer_range": 0.02,
|
| 24 |
+
"intermediate_size": 3072,
|
| 25 |
+
"is_decoder": false,
|
| 26 |
+
"label2id": {
|
| 27 |
+
"LABEL_0": 0,
|
| 28 |
+
"LABEL_1": 1,
|
| 29 |
+
"LABEL_2": 2,
|
| 30 |
+
"LABEL_3": 3,
|
| 31 |
+
"LABEL_4": 4,
|
| 32 |
+
"LABEL_5": 5
|
| 33 |
+
},
|
| 34 |
+
"layer_norm_eps": 1e-05,
|
| 35 |
+
"max_position_embeddings": 130,
|
| 36 |
+
"model_type": "roberta",
|
| 37 |
+
"num_attention_heads": 12,
|
| 38 |
+
"num_hidden_layers": 12,
|
| 39 |
+
"pad_token_id": 1,
|
| 40 |
+
"problem_type": "single_label_classification",
|
| 41 |
+
"tie_word_embeddings": true,
|
| 42 |
+
"tokenizer_class": "BertweetTokenizer",
|
| 43 |
+
"transformers_version": "5.8.0",
|
| 44 |
+
"type_vocab_size": 1,
|
| 45 |
+
"use_cache": false,
|
| 46 |
+
"vocab_size": 64001
|
| 47 |
+
}
|
model/label_mapping.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"0": "Dangerous Speech", "1": "Enraged Speech", "2": "Extreme Speech", "3": "Hate Grammar", "4": "Hate Speech", "5": "Horror Grammar"}
|
model/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1793b6c2a2081de4b4c59fba90509e99bc84efc8a70a22b328c65c4d05afa61
|
| 3 |
+
size 539642472
|
model/tokenizer_config.json
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<pad>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"64000": {
|
| 36 |
+
"content": "<mask>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"backend": "custom",
|
| 45 |
+
"bos_token": "<s>",
|
| 46 |
+
"cls_token": "<s>",
|
| 47 |
+
"eos_token": "</s>",
|
| 48 |
+
"is_local": false,
|
| 49 |
+
"local_files_only": false,
|
| 50 |
+
"mask_token": "<mask>",
|
| 51 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 52 |
+
"normalization": false,
|
| 53 |
+
"pad_token": "<pad>",
|
| 54 |
+
"sep_token": "</s>",
|
| 55 |
+
"tokenizer_class": "BertweetTokenizer",
|
| 56 |
+
"unk_token": "<unk>"
|
| 57 |
+
}
|
model/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6878f3da261338741aea81d888c67104a7be7587802d32fe22ca71a57cdb933d
|
| 3 |
+
size 5265
|
model/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
requirements.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
gradio
|
| 2 |
+
transformers
|
| 3 |
+
torch
|
| 4 |
+
sentencepiece
|