Update app.py

app.py

@@ -18,13 +18,23 @@ description = "Sistema para automação。"
 st.header(description)
 article = "<p style='text-align: center'><a href='https://huggingface.co/spaces/akhaliq/GFPGAN/' target='_blank'>clone from akhaliq@huggingface with little change</a> | <a href='https://github.com/TencentARC/GFPGAN' target='_blank'>GFPGAN Github Repo</a></p><center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_GFPGAN' alt='visitor badge'></center>"
 
-st.file_uploader("File")
-#-s 720x1280 
+
 uploaded_file = st.file_uploader("Choose a file")
 if uploaded_file is not None:
     # To read file as bytes:
     bytes_data = uploaded_file.getvalue()
     st.video(bytes_data)
+    with open("inputvideo", "wb") as binary_file:
+       binary_file.write(some_bytes)
+    vcap = cv2.VideoCapture('inputvideo') # 0=camera
+    width=0
+    height=0
+    if vcap.isOpened(): 
+              # get vcap property 
+              width  = vcap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)   # float `width`
+              height = vcap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)  # float `height`
+              
+              st.write(str(width)+"x"+str(height))
 @st.experimental_memo(suppress_st_warning=True)
 def chamada():
           percent_complete=0
@@ -35,7 +45,14 @@ def chamada():
        #exec=True 
 #           st.write("ffmpeg separando imagens")
        #if not os.path.isfile("./_input/imagem-0001.png"):
-          os.system("ffmpeg -i taissa.MOV   -compression_level 10 -pred mixed -pix_fmt rgb24 -sws_flags +accurate_rnd+full_chroma_int -s 1480x2560  -r 30 ./_input/imagem-%4d.png")
+         vcap = cv2.VideoCapture('inputvideo') # 0=camera
+         width=0
+         height=0
+         if vcap.isOpened(): 
+              # get vcap property 
+              width  = vcap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)   # float `width`
+              height = vcap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)  # float `height`
+          os.system("ffmpeg -i inputvideo -compression_level 10 -pred mixed -pix_fmt rgb24 -sws_flags +accurate_rnd+full_chroma_int -s "+str(width)+"x"+str(height)+"  -r 30 ./_input/imagem-%4d.png")
           percent_complete= percent_complete+ 30
           with col1:
            my_bar.progress(percent_complete )