Update app.py

app.py

@@ -59,41 +59,45 @@ def yn(x):
     )
     return result
 
-    
-
-with gr.Blocks() as blk:
-    gr.Markdown("# Gradio Blocks (3.0) with REST API")
-    t = gr.Textbox(label="User input")
-    c = gr.Button("mbti")
-    b = gr.Button("chat")
-    a = gr.Button("yn")
-    o = gr.Textbox(label="Model output")
-    gr.Markdown("""
-## API
-Can select which function to use by passing in `fn_index`:
-```python
-import requests
-requests.post(
-    url="https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/", json={"data": ["Jessie"], "fn_index": 0}
-).json()
-requests.post(
-    url="https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/", json={"data": ["Jessie"], "fn_index": 1}
-).json()
-```
-Or using cURL
-```
-$ curl -X POST https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/ -H 'Content-Type: application/json' -d '{"data": ["Jessie"], "fn_index": 0}'
-$ curl -X POST https://hf.space/embed/versae/gradio-blocks-rest-api/+/api/predict/ -H 'Content-Type: application/json' -d '{"data": ["Jessie"], "fn_index": 1}'
-```""")
 
-c.click(mbti, inputs=[t], outputs=[o])
-b.click(chat, inputs=[t], outputs=[o])
-a.click(yn, inputs=[t], outputs=[o])
-ifa = gr.Interface(lambda: None, inputs=[t], outputs=[o])
+aa = gradio.Interface(
+  fn=yn,
+  inputs="text",
+  outputs="text",
+  examples=[
+    ["Jill"],
+    ["Sam"]
+  ],
+  title="REST API with Gradio and Huggingface Spaces",
+  description="This is a demo of how to build an AI powered REST API with Gradio and Huggingface Spaces – for free! Based on [this article](https://www.tomsoderlund.com/ai/building-ai-powered-rest-api). See the **Use via API** link at the bottom of this page.",
+  article="© Tom Söderlund 2022"
+)
+aa.launch()
 
-blk.input_components = ifa.input_components
-blk.output_components = ifa.output_components
-blk.examples = None
-blk.predict_durations = []
+bb = gradio.Interface(
+  fn=chat,
+  inputs="text",
+  outputs="text",
+  examples=[
+    ["Jill"],
+    ["Sam"]
+  ],
+  title="REST API with Gradio and Huggingface Spaces",
+  description="This is a demo of how to build an AI powered REST API with Gradio and Huggingface Spaces – for free! Based on [this article](https://www.tomsoderlund.com/ai/building-ai-powered-rest-api). See the **Use via API** link at the bottom of this page.",
+  article="© Tom Söderlund 2022"
+)
+bb.launch()
 
-bapp = blk.launch()
+cc = gradio.Interface(
+  fn=mbti,
+  inputs="text",
+  outputs="text",
+  examples=[
+    ["Jill"],
+    ["Sam"]
+  ],
+  title="REST API with Gradio and Huggingface Spaces",
+  description="This is a demo of how to build an AI powered REST API with Gradio and Huggingface Spaces – for free! Based on [this article](https://www.tomsoderlund.com/ai/building-ai-powered-rest-api). See the **Use via API** link at the bottom of this page.",
+  article="© Tom Söderlund 2022"
+)
+cc.launch()