its coqui-tts not coqui.

voice_cloning_pipeline.py

@@ -47,10 +47,11 @@ def transcribe_and_diarise(
 
     client = boto3.client(
         "s3",
-        endpoint_url=f"http://{s3_endpoint}",
+        endpoint_url=s3_endpoint,
         aws_access_key_id="",
         aws_secret_access_key="",
         config=boto3.session.Config(signature_version="UNSIGNED"),
+        verify=False,
     )
     print(f"Downloading s3://{s3_bucket}/{s3_key} from {s3_endpoint}")
     client.download_file(s3_bucket, s3_key, audio_path)
@@ -258,7 +259,7 @@ def prepare_ljspeech_dataset(
 # 4.  Fine-tune Coqui VITS voice model
 # ──────────────────────────────────────────────────────────────
 @dsl.component(
-    base_image="ghcr.io/coqui-ai/tts:latest",
+    base_image="ghcr.io/idiap/coqui-tts:latest",
     packages_to_install=[],
 )
 def train_vits_voice(
@@ -585,7 +586,7 @@ def log_training_metrics(
     ),
 )
 def voice_cloning_pipeline(
-    s3_endpoint: str = "candlekeep.lab.daviestechlabs.io",
+    s3_endpoint: str = "https://gravenhollow.lab.daviestechlabs.io:30292",
     s3_bucket: str = "training-data",
     s3_key: str = "",
     target_speaker: str = "SPEAKER_0",