python file used for testing translator

test.py

@@ -0,0 +1,93 @@
+from google.cloud.speech_v2 import SpeechClient
+from google.cloud.speech_v2.types import cloud_speech
+import os
+import base64
+import tempfile
+from dotenv import load_dotenv
+
+# # TODO(developer): Update and un-comment below line
+# PROJECT_ID = "perfect-spanner-475822-p6"
+
+load_dotenv()
+
+# # Load and decode Google credentials (Base64 Encoding)
+# creds_b64 = os.getenv("GOOGLE_APPLICATION_CREDENTIALS_JSON") #get the b64 string
+# if creds_b64:
+#     creds_json = base64.b64decode(creds_b64).decode("utf-8") #decode to json string
+#     temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".json") #create a temp file
+#     temp_file.write(creds_json.encode("utf-8")) #write json to this file
+#     temp_file.flush() #write
+#     os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = temp_file.name #update cred
+# else:
+#     print("⚠️ No GCP creds found.")
+
+# # Instantiates a client
+# client = SpeechClient()
+
+# # Reads a file as bytes
+# with open("yoruba-practice/audio.m4a", "rb") as f:
+#     audio_content = f.read()
+
+# config = cloud_speech.RecognitionConfig(
+#     auto_decoding_config=cloud_speech.AutoDetectDecodingConfig(),
+#     language_codes=["en-US"],
+#     model="chirp_3",
+# )
+
+# request = cloud_speech.RecognizeRequest(
+#     recognizer=f"projects/{PROJECT_ID}/locations/global/recognizers/_",
+#     config=config,
+#     content=audio_content,
+# )
+
+# # Transcribes the audio into text
+# response = client.recognize(request=request)
+
+# for result in response.results:
+#     print(f"Transcript: {result.alternatives[0].transcript}")
+
+
+
+#SPITCH TEST
+import os
+from spitch import Spitch
+
+client = Spitch()
+
+with open("new.mp3", "wb") as f:
+    response = client.speech.generate(
+        text="Oya, no dey do dat kind tin o. I no get time to waste. Johnny my son, I send you to school to learn how to spell your name",
+        language="en",
+        voice="jude",
+        format="mp3"
+    )
+    f.write(response.read())
+
+
+
+#Yarn GPT TTS TEST
+import requests
+
+
+API_URL = "https://yarngpt.ai/api/v1/tts"
+API_KEY = os.getenv("YARNGPT_API_KEY")
+
+headers = {
+    "Authorization": f"Bearer {API_KEY}"
+}
+
+payload = {
+    "text": "Ẹ káàárọ̀ ọ̀rẹ́ mi. Mo fẹ́ ra ẹ̀wà.",
+    "voice": "Idera",
+}
+
+response = requests.post(API_URL, headers=headers, json=payload, stream=True)
+
+if response.status_code == 200:
+    with open("output.mp3", "wb") as f:
+        for chunk in response.iter_content(chunk_size=8192):
+            f.write(chunk)
+    print("Audio file saved as output.mp3")
+else:
+    print(f"Error: {response.status_code}")
+    print(response.json())