Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -3,12 +3,13 @@ import re
|
|
3 |
import gradio as gr
|
4 |
from transformers import AutoTokenizer, ViTFeatureExtractor, VisionEncoderDecoderModel
|
5 |
|
|
|
6 |
encoder_checkpoint = "google/vit-base-patch16-224-in21k"
|
7 |
decoder_checkpoint = "gpt2"
|
8 |
model_checkpoint = "gagan3012/ViTGPT2I2A"
|
9 |
feature_extractor = ViTFeatureExtractor.from_pretrained(encoder_checkpoint)
|
10 |
tokenizer = AutoTokenizer.from_pretrained(decoder_checkpoint)
|
11 |
-
model = VisionEncoderDecoderModel.from_pretrained(model_checkpoint).to(
|
12 |
|
13 |
|
14 |
def predict(image,max_length=64, num_beams=4):
|
|
|
3 |
import gradio as gr
|
4 |
from transformers import AutoTokenizer, ViTFeatureExtractor, VisionEncoderDecoderModel
|
5 |
|
6 |
+
|
7 |
encoder_checkpoint = "google/vit-base-patch16-224-in21k"
|
8 |
decoder_checkpoint = "gpt2"
|
9 |
model_checkpoint = "gagan3012/ViTGPT2I2A"
|
10 |
feature_extractor = ViTFeatureExtractor.from_pretrained(encoder_checkpoint)
|
11 |
tokenizer = AutoTokenizer.from_pretrained(decoder_checkpoint)
|
12 |
+
model = VisionEncoderDecoderModel.from_pretrained(model_checkpoint).to('cpu')
|
13 |
|
14 |
|
15 |
def predict(image,max_length=64, num_beams=4):
|