Update app.py

app.py

@@ -1,37 +1,20 @@
 import gradio as gr
 import cv2
-import requests
 import os
 
 from ultralytics import YOLO
 
+# Remove the URLs containing 'mp4'
 file_urls = [
-    'https://drive.google.com/file/d/1an-X1q3WwdPE5CnqAXo-yk4sU3xS_phj/view?usp=sharing',
-    'https://drive.google.com/file/d/1EeU5DppXQ-e6VHsWi46_lpBQKdhhoS8a/view?usp=sharing',
-    'https://www.dropbox.com/scl/fi/y7z20q3ye7xcxak3r2byp/ct.mp4?rlkey=0phq1um1jnl3oy1j6jjyuppsd&dl=0'
+    'Cyst.jpg',
+    'Stone.jpg'
 ]
 
-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)
-
-for i, url in enumerate(file_urls):
-    if 'mp4' in file_urls[i]:
-        download_file(
-            file_urls[i],
-            f"video.mp4"
-        )
-    else:
-        download_file(
-            file_urls[i],
-            f"image_{i}.jpg"
-        )
+# Do not download files from URLs, use local files directly
 
 model = YOLO('best.pt')
-path  = [['Cyst.jpg'], ['Stone.jpg']]
-video_path = [['ct.mp4']]
+path = [['Cyst.jpg'], ['Stone.jpg']]
+
 
 def show_preds_image(image_path):
     image = cv2.imread(image_path)
@@ -58,11 +41,11 @@ interface_image = gr.Interface(
     fn=show_preds_image,
     inputs=inputs_image,
     outputs=outputs_image,
-    title="Pothole detector",
+    title="Kidney Stone and Cyst detection",
     examples=path,
     cache_examples=False,
 )
-
+'''
 def show_preds_video(video_path):
     cap = cv2.VideoCapture(video_path)
     while(cap.isOpened()):
@@ -81,24 +64,9 @@ def show_preds_video(video_path):
                     lineType=cv2.LINE_AA
                 )
             yield cv2.cvtColor(frame_copy, cv2.COLOR_BGR2RGB)
-
-inputs_video = [
-    gr.components.Video(type="filepath", label="Input Video"),
-
-]
-outputs_video = [
-    gr.components.Image(type="numpy", label="Output Image"),
-]
-interface_video = gr.Interface(
-    fn=show_preds_video,
-    inputs=inputs_video,
-    outputs=outputs_video,
-    title="Pothole detector",
-    examples=video_path,
-    cache_examples=False,
-)
+'''
 
 gr.TabbedInterface(
-    [interface_image, interface_video],
-    tab_names=['Image inference', 'Video inference']
-).queue().launch()
+    [interface_image],
+    tab_names=['Shamim MD Jony']
+).launch()