revert to first

app.py

@@ -41,20 +41,19 @@ class App:
 def main():
     app = App()
 
-    demo = gr.Interface(
-        app,
-        inputs=[
-            gr.Radio(app.models, label='The STR model to use', value=app.models[0]),
-            gr.Image(type='pil', label='Image')
-        ],
-        outputs=[
-            gr.Textbox(max_lines=1, label='Model output'),
-            gr.Dataframe(row_count=2, col_count=0, label='Raw output with confidence values ([0, 1] interval; [B] - BLANK token; [E] - EOS token)')
-        ],
-        live=True,
-        analytics_enabled=False,
-        title=app.title.replace('<br/>', ' ')
-    )
+    with gr.Blocks(analytics_enabled=False, title=app.title.replace('<br/>', ' ')) as demo:
+        model_name = gr.Radio(app.models, value=app.models[0], label='The STR model to use')
+        with gr.Tabs():
+            with gr.TabItem('Image Upload'):
+                image_upload = gr.Image(type='pil', label='Image')
+                read_upload = gr.Button('Read Text')
+
+        output = gr.Textbox(max_lines=1, label='Model output')
+        #adv_output = gr.Checkbox(label='Show detailed output')
+        raw_output = gr.Dataframe(row_count=2, col_count=0, label='Raw output with confidence values ([0, 1] interval; [B] - BLANK token; [E] - EOS token)')
+
+        read_upload.click(app, inputs=[model_name, image_upload], outputs=[output, raw_output])
+        #adv_output.change(lambda x: gr.update(visible=x), inputs=adv_output, outputs=raw_output)
     demo.queue(max_size=20)
     demo.launch()