Create app.py

app.py

@@ -0,0 +1,52 @@
+import gradio as gr
+from gradio_client import Client
+
+client = Client("Renecto/parallel_en2fr")
+
+def fetch_result(ens):
+    result = client.predict(
+		ens=ens
+		api_name="/ens2frs"
+    )
+    return result
+
+def ens2frs(ens1, ens2, ens3):
+    tasks = [ens1, ens2, ens3]
+    with concurrent.futures.ThreadPoolExecutor() as executor:
+        results = list(executor.map(fetch_result, tasks))
+    frs = []
+    for result, duration in results:
+        print(f"Result:{result}, Time taken: {duration:.2f} seconds")
+        frs.extend([result, duration])
+        acum += duration
+
+    end_total = time.time()
+    duration_total = end_total - start_total
+    print(f"total time:  {duration_total:.2f} seconds")
+    print(f"acum time:  {acum:.2f} seconds")
+    print(f"Efficiency:  {acum/duration_total*100:.1f} %")
+    return frs
+    
+
+with gr.Blocks() as app:
+    ens1 = gr.TextArea(
+           """love
+book
+world
+wide""")
+    ens2 = gr.TextArea(
+           """hate
+television
+local
+narrow""")
+    ens3 = gr.TextArea(
+           """neutral
+radio
+urban
+normal""")
+    button1 = gr.Button("↓en2fr")
+    output = gr.Dataframe(label="result")
+
+    button1.click(ens2frs, inputs=ens, outputs=output)
+
+app.launch(debug=True, share=True)