1

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 
-def wordsrch(img):
-    lang = "en"
+def wordsrch(img, lang):
+    #lang = "en"
     #ocrimg = gr.Interface.load("spaces/PaddlePaddle/PaddleOCR")(img, lang)
     ocrimg = gr.Interface.load("spaces/tomofi/EasyOCR")(img, lang)[0]
     return ocrimg #, dframe
@@ -11,8 +11,8 @@ examples = ["wordsearch2.jpg"]
 
 iface = gr.Interface(fn=wordsrch, 
                       # Please choose from: 'numpy', 'pil', 'filepath'.
-                      inputs=gr.inputs.Image(type='filepath', label='Input'), #"en"],  
+                      inputs=[gr.inputs.Image(type='filepath', label='Input'), "en"],  
                       #outputs=gr.outputs.Image(type='file', label='Output'),
-                      outputs=[gr.outputs.Image(type='file', label='Output'), gr.outputs.Dataframe(headers=['text', 'confidence'])],
+                      outputs=gr.outputs.Image(type='file', label='Output'), #gr.outputs.Dataframe(headers=['text', 'confidence'])],
                       examples = examples)
 iface.launch(debug=True, enable_queue=True)