Spaces:
Runtime error
Runtime error
nehulagrawal
commited on
Commit
β’
e245c57
1
Parent(s):
ee7bb56
Update app.py
Browse files
app.py
CHANGED
@@ -10,7 +10,20 @@ file_urls = [
|
|
10 |
'https://www.dropbox.com/s/86uxlxxlm1iaexa/pothole_screenshot.png?dl=1',
|
11 |
'https://www.dropbox.com/s/7sjfwncffg8xej2/video_7.mp4?dl=1'
|
12 |
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
13 |
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
def download_file(url, save_name):
|
15 |
url = url
|
16 |
if not os.path.exists(save_name):
|
@@ -58,7 +71,8 @@ interface_image = gr.Interface(
|
|
58 |
fn=show_preds_image,
|
59 |
inputs=inputs_image,
|
60 |
outputs=outputs_image,
|
61 |
-
title="
|
|
|
62 |
examples=path,
|
63 |
cache_examples=False,
|
64 |
)
|
@@ -89,20 +103,7 @@ inputs_video = [
|
|
89 |
outputs_video = [
|
90 |
gr.components.Image(type="numpy", label="Output Image"),
|
91 |
]
|
92 |
-
description=""" π―οΈ Introducing CandleScan by Foduu AI π―οΈ
|
93 |
-
|
94 |
-
Unleash the power of precise pattern recognition with CandleScan, your ultimate companion for deciphering intricate candlestick formations in the world of trading. ππ
|
95 |
-
|
96 |
-
Unlock the secrets of successful trading by effortlessly identifying crucial candlestick patterns such as 'Head and Shoulders Bottom', 'Head and Shoulders Top', 'M-Head', 'StockLine', 'Triangle', and 'W-Bottom'. ππ
|
97 |
-
|
98 |
-
Powered by the cutting-edge technology of Foduu AI, CandleScan is your expert guide to navigating the complexities of the market. Whether you're an experienced trader or a novice investor, our app empowers you to make informed decisions with confidence. πΌπ°
|
99 |
-
|
100 |
-
But that's not all! CandleScan is just the beginning. If you're hungry for more pattern recognition prowess, simply reach out to us at info@foddu.com. Our dedicated team is ready to assist you in expanding your trading horizons by integrating additional pattern recognition features. π¬π²
|
101 |
|
102 |
-
Show your appreciation for this space-age tool by hitting the 'Like' button and start embarking on a journey towards trading mastery with CandleScan! ππ―οΈπ
|
103 |
-
|
104 |
-
π§ Contact us: info@foddu.com
|
105 |
-
π Like | """
|
106 |
interface_video = gr.Interface(
|
107 |
fn=show_preds_video,
|
108 |
inputs=inputs_video,
|
|
|
10 |
'https://www.dropbox.com/s/86uxlxxlm1iaexa/pothole_screenshot.png?dl=1',
|
11 |
'https://www.dropbox.com/s/7sjfwncffg8xej2/video_7.mp4?dl=1'
|
12 |
]
|
13 |
+
description=""" π―οΈ Introducing CandleScan by Foduu AI π―οΈ
|
14 |
+
|
15 |
+
Unleash the power of precise pattern recognition with CandleScan, your ultimate companion for deciphering intricate candlestick formations in the world of trading. ππ
|
16 |
+
|
17 |
+
Unlock the secrets of successful trading by effortlessly identifying crucial candlestick patterns such as 'Head and Shoulders Bottom', 'Head and Shoulders Top', 'M-Head', 'StockLine', 'Triangle', and 'W-Bottom'. ππ
|
18 |
+
|
19 |
+
Powered by the cutting-edge technology of Foduu AI, CandleScan is your expert guide to navigating the complexities of the market. Whether you're an experienced trader or a novice investor, our app empowers you to make informed decisions with confidence. πΌπ°
|
20 |
|
21 |
+
But that's not all! CandleScan is just the beginning. If you're hungry for more pattern recognition prowess, simply reach out to us at info@foddu.com. Our dedicated team is ready to assist you in expanding your trading horizons by integrating additional pattern recognition features. π¬π²
|
22 |
+
|
23 |
+
Show your appreciation for this space-age tool by hitting the 'Like' button and start embarking on a journey towards trading mastery with CandleScan! ππ―οΈπ
|
24 |
+
|
25 |
+
π§ Contact us: info@foddu.com
|
26 |
+
π Like | """
|
27 |
def download_file(url, save_name):
|
28 |
url = url
|
29 |
if not os.path.exists(save_name):
|
|
|
71 |
fn=show_preds_image,
|
72 |
inputs=inputs_image,
|
73 |
outputs=outputs_image,
|
74 |
+
title="CandleStickScan: Pattern Recognition for Trading Success",
|
75 |
+
descripiton=description,
|
76 |
examples=path,
|
77 |
cache_examples=False,
|
78 |
)
|
|
|
103 |
outputs_video = [
|
104 |
gr.components.Image(type="numpy", label="Output Image"),
|
105 |
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
106 |
|
|
|
|
|
|
|
|
|
107 |
interface_video = gr.Interface(
|
108 |
fn=show_preds_video,
|
109 |
inputs=inputs_video,
|