Upload 5 files
Browse files- Question-classifier-quantized.onnx +3 -0
- README.md +6 -6
- app.py +27 -0
- requirements.txt +4 -0
- tags_types_encoded.json +1 -0
Question-classifier-quantized.onnx
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aac525e979fd0703ce26aa728dd76b2b101a151ba3e9f96cb7f19dd66f6e5608
|
3 |
+
size 82585133
|
README.md
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
---
|
2 |
-
title:
|
3 |
-
emoji:
|
4 |
-
colorFrom:
|
5 |
colorTo: purple
|
6 |
sdk: gradio
|
7 |
-
sdk_version:
|
8 |
app_file: app.py
|
9 |
pinned: false
|
10 |
-
license:
|
11 |
---
|
12 |
|
13 |
-
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
|
|
1 |
---
|
2 |
+
title: Stackoverflow Question Classifier
|
3 |
+
emoji: π
|
4 |
+
colorFrom: indigo
|
5 |
colorTo: purple
|
6 |
sdk: gradio
|
7 |
+
sdk_version: 3.17.0
|
8 |
app_file: app.py
|
9 |
pinned: false
|
10 |
+
license: apache-2.0
|
11 |
---
|
12 |
|
13 |
+
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
|
app.py
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
import onnxruntime as rt
|
3 |
+
from transformers import AutoTokenizer
|
4 |
+
import torch, json
|
5 |
+
|
6 |
+
tokenizer = AutoTokenizer.from_pretrained("distilroberta-base")
|
7 |
+
|
8 |
+
with open("/Users/sadihossain/Desktop/Question_Classifier/tags_types_encoded.json", "r") as fp:
|
9 |
+
encode_tags_types = json.load(fp)
|
10 |
+
|
11 |
+
Tags = list(encode_tags_types.keys())
|
12 |
+
|
13 |
+
inf_session = rt.InferenceSession('/Users/sadihossain/Desktop/Question_Classifier/Question-classifier-quantized.onnx')
|
14 |
+
input_name = inf_session.get_inputs()[0].name
|
15 |
+
output_name = inf_session.get_outputs()[0].name
|
16 |
+
|
17 |
+
def classify_Question_tags(Summary):
|
18 |
+
input_ids = tokenizer(Summary)['input_ids'][:512]
|
19 |
+
logits = inf_session.run([output_name], {input_name: [input_ids]})[0]
|
20 |
+
logits = torch.FloatTensor(logits)
|
21 |
+
probs = torch.sigmoid(logits)[0]
|
22 |
+
return dict(zip(Tags, map(float, probs)))
|
23 |
+
|
24 |
+
label = gr.outputs.Label(num_top_classes=5)
|
25 |
+
iface = gr.Interface(fn=classify_Question_tags, inputs="text", outputs=label)
|
26 |
+
iface.launch(inline=False)
|
27 |
+
|
requirements.txt
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
gradio==3.17.0
|
2 |
+
onnxruntime==1.13.1
|
3 |
+
torch==1.13.1
|
4 |
+
transformers==4.26.0
|
tags_types_encoded.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"java": 0, "angular": 1, "python": 2, "python-3.x": 3, "javascript": 4, "html": 5, "css": 6, "react-native": 7, "c#": 8, "ios": 9, "r": 10, "android": 11, "django": 12, "azure": 13, "reactjs": 14, "flutter": 15, "kotlin": 16, "laravel": 17, "c++": 18, "postgresql": 19, "c": 20, "sql": 21, "mysql": 22, "docker": 23, "swift": 24, "visual-studio-code": 25, "excel": 26, "typescript": 27, "pandas": 28, "node.js": 29, "spring-boot": 30, "next.js": 31, "php": 32, ".net": 33, "amazon-web-services": 34, "dart": 35}
|