Update app.py

app.py

@@ -9,6 +9,8 @@ import inflect
 import re
 
 from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan
+import requests
+from requests.exceptions import Timeout
 
 checkpoint = "microsoft/speecht5_tts"
 processor = SpeechT5Processor.from_pretrained(checkpoint)
@@ -20,26 +22,45 @@ speaker_embeddings = {
     "BDL": "cmu_us_bdl_arctic-wav-arctic_a0009.npy",
 }
 
+def translate_text(text):
+    trans_text = ''
+
+    for sent in nlp(text).sents:
+        try:
+            # Add a timeout of 5 seconds (adjust as needed)
+            response = requests.get(
+                "https://translate.googleapis.com/translate_a/single",
+                params={
+                    'client': 'gtx',
+                    'sl': 'auto',
+                    'tl': 'hy',
+                    'dt': 't',
+                    'q': sent.text,
+                },
+                timeout=50,
+            )
+            response.raise_for_status()  # Raise an HTTPError for bad responses
+
+            # Extract the translated text from the response
+            translation = response.json()[0][0][0]
+
+            trans_text += translation
+
+        except Timeout:
+            print("Translation request timed out.")
+            # Handle the timeout as needed
+        except requests.exceptions.RequestException as e:
+            print(f"An error occurred: {e}")
+            # Handle other request exceptions as needed
+
+    return trans_text
+
 def convert_number_to_words(number: float) -> str:
     p = inflect.engine()
     words = p.number_to_words(number)
 
-    # Translate using httpx
-    async def translate_text(text, source_lang, target_lang):
-        async with httpx.AsyncClient() as client:
-            response = await client.get(
-                f'https://api.mymemory.translated.net/get?q={text}&langpair={source_lang}|{target_lang}'
-            )
-            translation = response.json()
-            return translation['responseData']['translatedText']
-
-    # You can change 'en' to the appropriate source language code
-    source_lang = 'en'
-    # You can change 'hy' to the appropriate target language code
-    target_lang = 'hy'
-
     # Use asyncio.run even if an event loop is already running (nested asyncio)
-    translated_words = asyncio.run(translate_text(words, source_lang, target_lang))
+    translated_words = translate_text(words)
 
     return translated_words