router function for ML models via REST API

app.py

@@ -9,11 +9,26 @@ anvil.server.connect('55MH4EBKM22EP4E6D5T6CVSL-VGO5X4SM6JEXGJVT')
 register(get_file)
 register(get_files)
 
-with gr.Blocks() as block:
-    textbox = gr.inputs.Textbox(label='Function Register')
-    button = gr.Button(value="Show Function Calls")
-    button.click(get_register,inputs=None,outputs=[textbox])
+# with gr.Blocks() as block:
+#     textbox = gr.inputs.Textbox(label='Function Register')
+#     button = gr.Button(value="Show Function Calls")
+#     button.click(get_register,inputs=None,outputs=[textbox])
 
-block.launch()
+# block.launch()
+import json
+import ast
+def my_inference_function(name):
+#   print(ast.literal_eval(name)['name'])
+  return "Input Data: " + name + ", stay tuned for ML models from this API"
+
+gradio_interface = gr.Interface(
+  fn=my_inference_function,
+  inputs="text",
+  outputs="text",
+  title="REST API with Gradio and Huggingface Spaces",
+  description='''Inputs should be json of test item e.g., as a dictionary; 
+  output right now is just returning the input; later label will be returned'''
+)
+gradio_interface.launch()
 # anvil.server.wait_forever()