1

app.py

@@ -2,15 +2,17 @@ import gradio as gr
 
 def wordsrch(img):
     lang = "en"
-    ocrimg = gr.Interface.load("spaces/PaddlePaddle/PaddleOCR")(img, lang)
-    return ocrimg
+    #ocrimg = gr.Interface.load("spaces/PaddlePaddle/PaddleOCR")(img, lang)
+    ocrimg, dframe = gr.Interface.load("spaces/tomofi/EasyOCR")(img, lang)
+    return ocrimg, dframe
 
 #examples = [["wordsearch2.jpg","en"]]
 examples = ["wordsearch2.jpg"]
 
 iface = gr.Interface(fn=wordsrch, 
                       # Please choose from: 'numpy', 'pil', 'filepath'.
-                      inputs=gr.inputs.Image(type='numpy', label='Input'), #"en"],  
-                      outputs=gr.outputs.Image(type='file', label='Output'),
+                      inputs=gr.inputs.Image(type='file', 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'])],
                       examples = examples)
 iface.launch(debug=True, enable_queue=True)