Update interface

app.py

@@ -172,11 +172,12 @@ curl -X POST https://Hobson-gradio-rest-api.hf.space/api/predict/ -H 'Content-Ty
 ```
 """ + f"{json.loads(BQ_JSON)['type']}")
 
-interface = gr.Interface(lambda: None, inputs=[textbox_input], outputs=[textbox_output])
-
-html_block.input_components = interface.input_components
-html_block.output_components = interface.output_components
-html_block.examples = None
-html_block.predict_durations = []
-
-bapp = html_block.launch()
+# interface = gr.Interface(lambda: None, inputs=[textbox_input], outputs=[textbox_output])
+interface = gr.Interface(fn=try_text2int_preprocessed, inputs=[textbox_input], outputs=[textbox_output])
+
+# html_block.input_components = interface.input_components
+# html_block.output_components = interface.output_components
+# html_block.examples = None
+# html_block.predict_durations = []
+#
+# bapp = html_block.launch()

mathtext-nlu-api.py

@@ -0,0 +1,18 @@
+import os
+from dotenv import load_dotenv
+import requests
+
+load_dotenv()
+
+# data = input("Enter a number as text:\n").split()
+data = "four two".split()
+
+HUG_ACC_TOKEN = os.environ.get("HUG_ACC_TOKEN")
+
+response = requests.post(
+    url="https://cetinca-mathtext-nlu.hf.space/run/predict",
+    json={"data": data, "fn_index": 0},
+    # headers={'Authorization': HUG_ACC_TOKEN},
+)
+
+print(response.status_code)