Created test API

app.py

@@ -6,6 +6,9 @@ import gradio as gr
 from gradio import routes
 import spacy  # noqa
 from typing import List, Type
+from dotenv import load_dotenv
+
+load_dotenv()
 
 TOKENS2INT_ERROR_INT = 32202
 

requirements.txt

@@ -2,3 +2,4 @@ spacy
 pandas
 pandas-gbq
 gradio>=3.0.2,<3.1.0
+python-dotenv

test_api.py

@@ -0,0 +1,46 @@
+"""https://zetcode.com/python/concurrent-http-requests/"""
+
+
+import asyncio
+import random
+import time
+
+import httpx
+
+local_url = "http://127.0.0.1:5000"
+remote_url = "https://cetinca-mathtext-nlu.hf.space/run/text2int_preprocessed"
+remote_url = "https://tangibleai-mathtext.hf.space/run/"
+headers = {"Content-Type": "application/json; charset=utf-8"}
+data_list = [
+    ["one hundred forty five"],
+    ["ninety nine"],
+    ["seventy three"],
+    ["one thousand seven hundred sixty nine"],
+]
+
+
+# async call to endpoint
+async def call_api(url, _data_list, number):
+    data = random.choice(_data_list)
+    json = {"data": data, "fn_index": 1}
+    async with httpx.AsyncClient() as client:
+        begin1 = time.time()
+        begin2 = time.perf_counter()  # Used perf_counter for more precise result.
+        # print(f"Call {number} started on: {start} text: {data}")
+        response = await client.post(url=url, headers=headers, json=json, timeout=30)
+        print(response.status_code)
+        end1 = time.time()
+        end2 = time.perf_counter()
+        return f"Call_{number}: start: {begin1} end: {end1} delay: {end1 - begin1} with_time: {end2 - begin2}\n"\
+               f"input_text: {data} result: {response.json().get('data')}"
+
+
+async def main(n):
+    calls = []
+    for num in range(n):
+        calls.append(call_api(remote_url, data_list, num))
+    r = await asyncio.gather(*calls)
+    print(*r, sep="\n")
+
+
+asyncio.run(main(1))