logging

.gitignore

@@ -0,0 +1 @@
+venv

api_test.py

@@ -0,0 +1,24 @@
+from gradio_client import Client
+import threading
+
+client = Client("http://127.0.0.1:7860/")
+num_requests = 1000
+
+
+def request(workers_num: "int"):
+    client.predict(
+        "bibirnya memerah tangannya jadi selengket madu dan ia berkata 'Boleh saya memerah lembu ini?'",  # str representing string value in 'Input Text' Textbox component
+        api_name="/process",
+    )
+    print(workers_num)
+
+
+threads: threading.Thread = []
+
+for i in range(num_requests):
+    thread = threading.Thread(target=request, args=(i,))
+    threads.append(thread)
+    thread.start()
+
+for thread in threads:
+    thread.join()

app.py

@@ -1,5 +1,4 @@
 import gradio as gr
-import typing
 from NDETCStemmer import NDETCStemmer
 
 num_text_process_limit = 100
@@ -10,13 +9,21 @@ Call by API is also available. Check the bottom of the page on 'Use via API 🚀
 """
 
 stemmer = NDETCStemmer()
-
+process_counter = 0
 
 def process_single_text(text_input: "str"):
+    
     # Split input
     if text_input.strip() == "":
         return ""
     results = stemmer.stem(text_input)
+    
+    # Logging
+    global process_counter
+    process_counter = process_counter + 1
+    
+    print(f"INFO: Number of processed text {process_counter}")
+    
     return results
 
 with gr.Blocks() as demo:
@@ -28,19 +35,20 @@ with gr.Blocks() as demo:
             label="Input Text",
             info=f"Text to stem.",
             lines=5,
-            value="""bibirnya memerah tangannya jadi selengket madu dan boleh saya memerah lembu ini""",
+            value="""bibirnya memerah tangannya jadi selengket madu dan ia berkata 'Boleh saya memerah lembu ini?'""",
         )
         single_text_button = gr.Button("Stem!")
         results_text = gr.Textbox(
-            label="Result",
+            label=f"Result",
             interactive=False,
         )
         single_text_button.click(
             process_single_text,
             inputs=[input_text],
             outputs=[results_text],
-            api_name="process_single_text",
+            api_name="process"
         )
 
 if __name__ == "__main__":
+    demo.queue(concurrency_count=100)
     demo.launch()