Update app.py

app.py

@@ -551,7 +551,7 @@ def model_predict(word):
     #     os.makedirs(folderName)
     # fileName = folderName+ "/" + time_now + ".png"
     # cv2.imwrite(fileName,word)
-    pil_image = Image.fromarray(frame)
+    pil_image = Image.fromarray(word)
         #pil_image.convert("RGBA")
     for i in range(0,15):
         if mark[i]==0:
@@ -601,8 +601,6 @@ demo = gr.Interface(fn=model_predict, inputs= "paint", outputs=["text","image"],
     examples=[
         ["Tensorflow/workspace/images/tmpbvc06xxf.png"],
         ["Tensorflow/workspace/images/tmpfhin6fzg.png"],
-        ["Tensorflow/workspace/images/0001in.png"],
-        ["Tensorflow/workspace/images/0031in.png"],
     ],
     article=citation_text,allow_flagging="auto",flagging_callback=hf_writer)
 demo.launch()