RanjithkumarPanjabikesan commited on
Commit
aee9f43
·
verified ·
1 Parent(s): 2ec6978

Create app.py

Browse files
Files changed (1) hide show
  1. app.py +20 -0
app.py ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from transformers import pipeline
2
+ od_pipe = pipeline("object-detection", "facebook/detr-resnet-50")
3
+ import os
4
+ import gradio as gr
5
+ from helper import render_results_in_image
6
+ def get_pipeline_prediction(pil_image):
7
+
8
+ pipeline_output = od_pipe(pil_image)
9
+
10
+ processed_image = render_results_in_image(pil_image,
11
+ pipeline_output)
12
+ return processed_image
13
+ demo = gr.Interface(
14
+ fn=get_pipeline_prediction,
15
+ inputs=gr.Image(label="Input image",
16
+ type="pil"),
17
+ outputs=gr.Image(label="Output image with predicted instances",
18
+ type="pil")
19
+ )
20
+ demo.launch()