Update app.py

app.py

@@ -5,31 +5,30 @@ import os
 
 from ultralyticsplus import YOLO, render_result
 
-file_urls = [
-    'https://huggingface.co/spaces/foduucom/CandleStickScan-Stock-trading-yolov8/resolve/main/test/-2022-06-28-12-35-50_png.rf.8dee4bb645ea8b5036721b830d2636b1.jpg',
-    'https://huggingface.co/spaces/foduucom/CandleStickScan-Stock-trading-yolov8/resolve/main/test/-2022-06-28-12-45-10_png.rf.8b9177546e62a2422ad603b16f1f50b9.jpg',
-    'https://www.dropbox.com/s/7sjfwncffg8xej2/video_7.mp4?dl=1'
-]
-description=""" 🕯️ Introducing CandleScan by Foduu AI 🕯️
-
+# Model Heading and Description
+model_heading = "CandleStickScan: Pattern Recognition for Trading Success"
+description = """ 🕯️ Introducing CandleScan by Foduu AI 🕯️
 Unleash the power of precise pattern recognition with CandleScan, your ultimate companion for deciphering intricate candlestick formations in the world of trading. 📊📈
-
 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'. 📉📈
-
 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. 💼💰
-
 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. 📬📲
-
 Show your appreciation for this space-age tool by hitting the 'Like' button and start embarking on a journey towards trading mastery with CandleScan! 🚀🕯️📈
-
 📧 Contact us: info@foddu.com
 👍 Like | """
+
 def download_file(url, save_name):
     url = url
     if not os.path.exists(save_name):
         file = requests.get(url)
         open(save_name, 'wb').write(file.content)
 
+# Download files
+file_urls = [
+    'https://huggingface.co/spaces/foduucom/CandleStickScan-Stock-trading-yolov8/resolve/main/test/-2022-06-28-12-35-50_png.rf.8dee4bb645ea8b5036721b830d2636b1.jpg',
+    'https://huggingface.co/spaces/foduucom/CandleStickScan-Stock-trading-yolov8/resolve/main/test/-2022-06-28-12-45-10_png.rf.8b9177546e62a2422ad603b16f1f50b9.jpg',
+    'https://www.dropbox.com/s/7sjfwncffg8xej2/video_7.mp4?dl=1'
+]
+
 for i, url in enumerate(file_urls):
     if 'mp4' in file_urls[i]:
         download_file(
@@ -42,10 +41,10 @@ for i, url in enumerate(file_urls):
     #         f"image_{i}.jpg"
     #     )
 
+# Load YOLO model
 model = YOLO('foduucom/stockmarket-pattern-detection-yolov8')
-path  = [['test/test1.jpg'], ['test/test2.jpg']]
-video_path = [['video.mp4']]
 
+# Image Inference
 def show_preds_image(image_path):
     image = cv2.imread(image_path)
     outputs = model.predict(source=image_path)
@@ -71,12 +70,13 @@ interface_image = gr.Interface(
     fn=show_preds_image,
     inputs=inputs_image,
     outputs=outputs_image,
-    title="CandleStickScan: Pattern Recognition for Trading Success",
+    title=model_heading,
     descripiton=description,
     examples=path,
     cache_examples=False,
 )
 
+# Video Inference
 def show_preds_video(video_path):
     cap = cv2.VideoCapture(video_path)
     while(cap.isOpened()):
@@ -108,7 +108,7 @@ interface_video = gr.Interface(
     fn=show_preds_video,
     inputs=inputs_video,
     outputs=outputs_video,
-    title="CandleStickScan: Pattern Recognition for Trading Success",
+    title=model_heading,
     descripiton=description,
     examples=video_path,
     cache_examples=False,
@@ -117,4 +117,4 @@ interface_video = gr.Interface(
 gr.TabbedInterface(
     [interface_image, interface_video],
     tab_names=['Image inference', 'Video inference']
-).queue().launch()
+).queue().launch()