Upload app.py

app.py

@@ -7,34 +7,35 @@ from csv import writer
 # import keyboard
 # st.title('Dawg Detection 🐶')
 st.markdown("<h1 style='text-align: center; color: white;'>Dawg Detection 🐶</h1>", unsafe_allow_html=True)
+jury=True
+butt=st.button('Configure',disabled=jury)
+if butt==True:
+    os.system('git clone https://github.com/WongKinYiu/yolov7')
+    os.system('%cd yolov7')
+    os.system('pip install -r requirements.txt')
+    os.system('ls')
+    os.system('wget https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7.pt')
+    os.system('pip install opencv_python')
+    os.system('conda install pytorch torchvision torchaudio -c pytorch -y')
+    os.system('pip install pyyaml')
+    os.system('pip install scipy')
+    jury=False 
+
+
+bob='python yolov7/detect.py --weights yolov7.pt --classes 16 --conf 0.25 --img-size 640 --source  Images/seesh.png  --exist-ok --save-conf --save-txt'
+tusk='python yolov7/detect.py --weights yolov7.pt --classes 16 --conf 0.25 --img-size 640 --source Images/seesh.png --exist-ok --save-conf --save-txt'
+
 
 pic=st.camera_input('Take A Picture')
-bob='python /Users/eemanmajumder/code_shit/Project_Exibition/yolov7/detect.py --weights /Users/eemanmajumder/code_shit/Project_Exibition/app/yolov7.pt --classes 16 --conf 0.25 --img-size 640 --source /Users/eemanmajumder/code_shit/Project_Exibition/yolov7/inference/images/seesh.png   --exist-ok --save-conf --save-txt'
 if pic:
-    with open ('yolov7/inference/images/seesh.png','wb') as file:
+    with open ('Images/seesh.png','wb') as file:
         file.write(pic.getbuffer())
-        #   keyboard.press_and_release('control+shift+`')
-        # !python3 yolov7/detect.py --weights yolov7.pt --conf 0.25 --img-size 640 --source  inference/images/seesh.png --classes 16 --exist-ok --save-conf --save-txt
-        os.system('cd /Users/eemanmajumder/code_shit/Project_Exibition')
         os.system(bob)
-        st.markdown("---")
         st.text('Detected Dawgs')
-        img=st.image('/Users/eemanmajumder/code_shit/Project_Exibition/runs/detect/exp/seesh.png')
-        names= [ 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light',
-        'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow',
-        'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee',
-        'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard',
-        'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple',
-        'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch',
-        'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone',
-        'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear',
-        'hair drier', 'toothbrush' ]
-        len(names)
-        d= {}
-        
-        for i in range(0,len(names)):
-            d[names[i]]=i
-        f=open("/Users/eemanmajumder/code_shit/Project_Exibition/runs/detect/exp/labels/seesh.txt",'r')
+        img=st.image('runs/detect/exp/seesh.png')
+
+        #count
+        f=open("runs/detect/exp/labels/seesh.txt",'r')
         a=f.readlines()
         b=[]
         for j in range(0,len(a)):
@@ -43,24 +44,25 @@ if pic:
             else:
                 continue 
         print(len(b))
-        f=open("/Users/eemanmajumder/code_shit/Project_Exibition/runs/detect/exp/labels/seesh.txt",'w')
+        f=open("runs/detect/exp/labels/seesh.txt",'w')
         st.balloons()
         st.success(f'Total Number Of Dogs Detected: {len(b)}')
         st.markdown("---")
+
+        #map
         g = geocoder.ip('me')
         print(g.latlng)
-
         with open('database/cord.csv', 'a') as f_object:
             writer_object = writer(f_object)
             writer_object.writerow(g.latlng)
             f_object.close()
         df=pd.read_csv('database/cord.csv')
         cum=len(df['lat'])
-        # df.to_csv('database/cord.csv',index=False)
         st.text(f'Your Location Coordinates: {g.latlng}')
         st.map(df,use_container_width=True,zoom = 4)
         st.markdown(f"<h5 style='color: red;'>Total Number Of Reports Around The World: {cum}<h5>", unsafe_allow_html=True)
 
 clicked= st.button('Click Me For Balloons',help='Click here to feel happy 😁')
 if clicked==True:
-    st.balloons()
+    st.balloons()
+