Update all modal deployments and change seamless configuration due to changes in src repo (#353)

* update all modal deployments and change seamless configuration due to change in src repo

* add fixture

server/gpu/modal/reflector_translator.py

@@ -55,15 +55,15 @@ def configure_seamless_m4t():
 
     import yaml
 
-    ASSETS_DIR: str = "./seamless_communication/src/seamless_communication/assets/cards"
+    CARDS_DIR: str = "./seamless_communication/src/seamless_communication/cards"
 
-    with open(f"{ASSETS_DIR}/seamlessM4T_{SEAMLESSM4T_MODEL_SIZE}.yaml", "r") as file:
+    with open(f"{CARDS_DIR}/seamlessM4T_{SEAMLESSM4T_MODEL_SIZE}.yaml", "r") as file:
         model_yaml_data = yaml.load(file, Loader=yaml.FullLoader)
-    with open(f"{ASSETS_DIR}/vocoder_36langs.yaml", "r") as file:
+    with open(f"{CARDS_DIR}/vocoder_36langs.yaml", "r") as file:
         vocoder_yaml_data = yaml.load(file, Loader=yaml.FullLoader)
-    with open(f"{ASSETS_DIR}/unity_nllb-100.yaml", "r") as file:
+    with open(f"{CARDS_DIR}/unity_nllb-100.yaml", "r") as file:
         unity_100_yaml_data = yaml.load(file, Loader=yaml.FullLoader)
-    with open(f"{ASSETS_DIR}/unity_nllb-200.yaml", "r") as file:
+    with open(f"{CARDS_DIR}/unity_nllb-200.yaml", "r") as file:
         unity_200_yaml_data = yaml.load(file, Loader=yaml.FullLoader)
 
     model_dir = f"{SEAMLESS_MODEL_DIR}/models--facebook--seamless-m4t-{SEAMLESSM4T_MODEL_SIZE}/snapshots"
@@ -87,18 +87,18 @@ def configure_seamless_m4t():
         os.getcwd(), model_dir, latest_model_version, tokenizer_name
     )
 
-    model_yaml_data["checkpoint"] = f"file:/{model_path}"
+    model_yaml_data["checkpoint"] = f"file://{model_path}"
-    vocoder_yaml_data["checkpoint"] = f"file:/{vocoder_path}"
+    vocoder_yaml_data["checkpoint"] = f"file://{vocoder_path}"
-    unity_100_yaml_data["tokenizer"] = f"file:/{tokenizer_path}"
+    unity_100_yaml_data["tokenizer"] = f"file://{tokenizer_path}"
-    unity_200_yaml_data["tokenizer"] = f"file:/{tokenizer_path}"
+    unity_200_yaml_data["tokenizer"] = f"file://{tokenizer_path}"
 
-    with open(f"{ASSETS_DIR}/seamlessM4T_{SEAMLESSM4T_MODEL_SIZE}.yaml", "w") as file:
+    with open(f"{CARDS_DIR}/seamlessM4T_{SEAMLESSM4T_MODEL_SIZE}.yaml", "w") as file:
         yaml.dump(model_yaml_data, file)
-    with open(f"{ASSETS_DIR}/vocoder_36langs.yaml", "w") as file:
+    with open(f"{CARDS_DIR}/vocoder_36langs.yaml", "w") as file:
         yaml.dump(vocoder_yaml_data, file)
-    with open(f"{ASSETS_DIR}/unity_nllb-100.yaml", "w") as file:
+    with open(f"{CARDS_DIR}/unity_nllb-100.yaml", "w") as file:
         yaml.dump(unity_100_yaml_data, file)
-    with open(f"{ASSETS_DIR}/unity_nllb-200.yaml", "w") as file:
+    with open(f"{CARDS_DIR}/unity_nllb-200.yaml", "w") as file:
         yaml.dump(unity_200_yaml_data, file)
 
 
@@ -144,7 +144,7 @@ transcriber_image = (
 class Translator:
     def __enter__(self):
         import torch
-        from seamless_communication.models.inference.translator import Translator
+        from seamless_communication.inference.translator import Translator
 
         self.lock = threading.Lock()
         self.use_gpu = torch.cuda.is_available()
@@ -363,14 +363,15 @@ class Translator:
     @method()
     def translate_text(self, text: str, source_language: str, target_language: str):
         with self.lock:
-            translated_text, _, _ = self.translator.predict(
+            translation_result, _ = self.translator.predict(
                 text,
                 "t2tt",
                 src_lang=self.get_seamless_lang_code(source_language),
                 tgt_lang=self.get_seamless_lang_code(target_language),
-                ngram_filtering=True,
+                unit_generation_ngram_filtering=True,
             )
-        return {"text": {source_language: text, target_language: str(translated_text)}}
+        translated_text = str(translation_result[0])
+        return {"text": {source_language: text, target_language: translated_text}}
 
 
 # -------------------------------------------------------------------

server/tests/test_transcripts_rtc_ws.py

@@ -70,6 +70,7 @@ async def test_transcript_rtc_and_websocket(
     dummy_storage,
     fake_mp3_upload,
     ensure_casing,
+    nltk,
     appserver,
     sentence_tokenize,
 ):
@@ -227,6 +228,7 @@ async def test_transcript_rtc_and_websocket_and_fr(
     dummy_storage,
     fake_mp3_upload,
     ensure_casing,
+    nltk,
     appserver,
     sentence_tokenize,
 ):