Upload 2 files
Browse files- app.py +46 -0
- requirements.txt +48 -0
app.py
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from flask import Flask, request
|
| 2 |
+
from transformers import AutoModelForImageClassification
|
| 3 |
+
from transformers import AutoImageProcessor
|
| 4 |
+
from PIL import Image
|
| 5 |
+
import torch
|
| 6 |
+
|
| 7 |
+
app = Flask(__name__)
|
| 8 |
+
|
| 9 |
+
model = AutoModelForImageClassification.from_pretrained(
|
| 10 |
+
'../apiModel/myModel')
|
| 11 |
+
image_processor = AutoImageProcessor.from_pretrained(
|
| 12 |
+
"google/vit-base-patch16-224-in21k")
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
@app.route('/upload_image', methods=['POST'])
|
| 16 |
+
def upload_image():
|
| 17 |
+
# Get the image file from the request
|
| 18 |
+
image_file = request.files['image']
|
| 19 |
+
|
| 20 |
+
# Save the image file to a desired location on the server
|
| 21 |
+
image_path = "assets/img.jpg"
|
| 22 |
+
image_file.save(image_path)
|
| 23 |
+
|
| 24 |
+
# You can perform additional operations with the image here
|
| 25 |
+
# ...
|
| 26 |
+
|
| 27 |
+
return 'Image uploaded successfully'
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
@app.route('/get_text', methods=['GET'])
|
| 31 |
+
def get_text():
|
| 32 |
+
image = Image.open('assets/img.jpg')
|
| 33 |
+
inputs = image_processor(image, return_tensors="pt")
|
| 34 |
+
|
| 35 |
+
with torch.no_grad():
|
| 36 |
+
logits = model(**inputs).logits
|
| 37 |
+
|
| 38 |
+
predicted_label = logits.argmax(-1).item()
|
| 39 |
+
|
| 40 |
+
disease = model.config.id2label[predicted_label]
|
| 41 |
+
|
| 42 |
+
return disease
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
if __name__ == '__app__':
|
| 46 |
+
app.run(host='192.168.1.7', port=5000)
|
requirements.txt
ADDED
|
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
autopep8==1.7.0
|
| 2 |
+
biopython==1.79
|
| 3 |
+
blinker==1.6.2
|
| 4 |
+
certifi==2023.5.7
|
| 5 |
+
charset-normalizer==3.1.0
|
| 6 |
+
click==8.1.3
|
| 7 |
+
colorama==0.4.6
|
| 8 |
+
contourpy==1.0.6
|
| 9 |
+
cycler==0.11.0
|
| 10 |
+
docopt==0.6.2
|
| 11 |
+
filelock==3.12.0
|
| 12 |
+
Flask==2.3.2
|
| 13 |
+
fonttools==4.38.0
|
| 14 |
+
fsspec==2023.5.0
|
| 15 |
+
huggingface-hub==0.14.1
|
| 16 |
+
idna==3.4
|
| 17 |
+
itsdangerous==2.1.2
|
| 18 |
+
Jinja2==3.1.2
|
| 19 |
+
kiwisolver==1.4.4
|
| 20 |
+
MarkupSafe==2.1.2
|
| 21 |
+
matplotlib==3.6.1
|
| 22 |
+
mpmath==1.3.0
|
| 23 |
+
networkx==3.1
|
| 24 |
+
numpy==1.23.4
|
| 25 |
+
opencv-python==4.6.0.66
|
| 26 |
+
packaging==21.3
|
| 27 |
+
pandas==1.5.3
|
| 28 |
+
Pillow==9.3.0
|
| 29 |
+
pipreqs==0.4.13
|
| 30 |
+
pycodestyle==2.9.1
|
| 31 |
+
pyparsing==3.0.9
|
| 32 |
+
python-dateutil==2.8.2
|
| 33 |
+
pytz==2022.7.1
|
| 34 |
+
PyYAML==6.0
|
| 35 |
+
regex==2023.5.5
|
| 36 |
+
requests==2.31.0
|
| 37 |
+
scipy==1.9.3
|
| 38 |
+
six==1.16.0
|
| 39 |
+
sympy==1.12
|
| 40 |
+
tokenizers==0.13.3
|
| 41 |
+
toml==0.10.2
|
| 42 |
+
torch==2.0.1
|
| 43 |
+
tqdm==4.65.0
|
| 44 |
+
transformers==4.29.2
|
| 45 |
+
typing_extensions==4.5.0
|
| 46 |
+
urllib3==2.0.2
|
| 47 |
+
Werkzeug==2.3.4
|
| 48 |
+
yarg==0.1.9
|