Update app.py

app.py

@@ -20,32 +20,57 @@
 
 # # The response to the POST request will be the output of the Gradio app.
 # output = response.json()['text']
-import gradio as gr
-import requests
+# import gradio as gr
+# import requests
 
 
 
-def my_function(name):
-    return "Hello " + name + "!!"
+# def my_function(name):
+#     return "Hello " + name + "!!"
     
-# Create a Gradio app.
-app = gr.Interface(fn=my_function, inputs=['text'], outputs=['text'], allow_external_requests=True)
+# # Create a Gradio app.
+# app = gr.Interface(fn=my_function, inputs=['text'], outputs=['text'], allow_external_requests=True)
+
+# # Launch the Gradio app.
+# app.launch()
 
-# Launch the Gradio app.
-app.launch()
+# # Make a GET request to the URL of the Gradio app.
+# data = {'text': 'This is a test.'}
+# response = requests.get(app.url, data=data)
+
+# # The response to the GET request will be a JSON object.
+# output = response.json()['output']
+
+# # The input that you entered will be in the `input` key of the JSON object.
+# input = response.json()['input']
+
+# # Print the output and input.
+# print(output)
+# print(input)
+
+import gradio
+
+# Create a Gradio app.
+interface = gradio.Interface(
+  fn=predict,
+  inputs=[gradio.inputs.Textbox()],
+  outputs=[gradio.outputs.Text()],
+)
 
-# Make a GET request to the URL of the Gradio app.
-data = {'text': 'This is a test.'}
-response = requests.get(app.url, data=data)
+# Add a `predict()` method to the Gradio app.
+def predict(text):
+  # Use the model to predict the output.
+  output = model(text)
 
-# The response to the GET request will be a JSON object.
-output = response.json()['output']
+  # Return the output.
+  return output
 
-# The input that you entered will be in the `input` key of the JSON object.
-input = response.json()['input']
+# Save the Gradio app.
+interface.save("my_app")
 
-# Print the output and input.
-print(output)
-print(input)
+# Deploy the Gradio app.
+interface.deploy()
 
+# Create a post API endpoint.
+interface.create_post_api()