Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -2,12 +2,14 @@ import gradio as gr
|
|
2 |
from model import config
|
3 |
from PIL import Image
|
4 |
# import pickle
|
|
|
5 |
# import numpy as np
|
6 |
# from fastapi import FastAPI,Response
|
7 |
# from sklearn.metrics import accuracy_score, f1_score
|
8 |
# import prometheus_client as prom
|
9 |
# import pandas as pd
|
10 |
# import uvicorn
|
|
|
11 |
from transformers import VisionEncoderDecoderModel,pipeline, ViTImageProcessor, AutoTokenizer
|
12 |
import torch
|
13 |
|
@@ -40,14 +42,17 @@ import torch
|
|
40 |
|
41 |
# f1_metric.set(f1)
|
42 |
|
|
|
|
|
|
|
|
|
43 |
|
44 |
-
|
45 |
|
46 |
print(encoder._name_or_path,decoder._name_or_path,)
|
47 |
-
model = VisionEncoderDecoderModel.from_encoder_decoder_pretrained(
|
48 |
|
49 |
|
50 |
-
tokenizer = AutoTokenizer.from_pretrained(
|
51 |
tokenizer.pad_token = tokenizer.unk_token
|
52 |
|
53 |
|
|
|
2 |
from model import config
|
3 |
from PIL import Image
|
4 |
# import pickle
|
5 |
+
import json
|
6 |
# import numpy as np
|
7 |
# from fastapi import FastAPI,Response
|
8 |
# from sklearn.metrics import accuracy_score, f1_score
|
9 |
# import prometheus_client as prom
|
10 |
# import pandas as pd
|
11 |
# import uvicorn
|
12 |
+
import os
|
13 |
from transformers import VisionEncoderDecoderModel,pipeline, ViTImageProcessor, AutoTokenizer
|
14 |
import torch
|
15 |
|
|
|
42 |
|
43 |
# f1_metric.set(f1)
|
44 |
|
45 |
+
from model.config import encoder,decoder
|
46 |
+
|
47 |
+
# with open('model/config.json', 'r') as file:
|
48 |
+
# config = json.load(file)
|
49 |
|
|
|
50 |
|
51 |
print(encoder._name_or_path,decoder._name_or_path,)
|
52 |
+
model = VisionEncoderDecoderModel.from_encoder_decoder_pretrained(encoder._name_or_path,decoder._name_or_path)
|
53 |
|
54 |
|
55 |
+
tokenizer = AutoTokenizer.from_pretrained(decoder._name_or_path)
|
56 |
tokenizer.pad_token = tokenizer.unk_token
|
57 |
|
58 |
|