upd env var name

.env.template

@@ -1,5 +1,5 @@
 OPENAI_API_KEY="..."
-11LABS_API_KEY="..."
+ELEVEN_LABS_API_KEY="..."
 AIML_API_KEY="..."
 AUTH_USERS="admin,community_user"
 AUTH_PASS="..."

scripts/add_voices.py

@@ -19,12 +19,14 @@ load_dotenv()
 
 
 @click.command()
-@click.option("-ak", "--api-key", envvar="11LABS_API_KEY")
+@click.option("-ak", "--api-key", envvar="ELEVEN_LABS_API_KEY")
 @click.option("-i", "--input-csv-path", default="data/11labs_tts_voices.csv")
 def main(*, api_key: str | None, input_csv_path: str) -> None:
     if api_key is None:
-        raise OSError("Who's gonna set the `11LABS_API_KEY` environmental variable?")
-    
+        raise OSError(
+            "Who's gonna set the `ELEVEN_LABS_API_KEY` environmental variable?"
+        )
+
     client = ElevenLabs(api_key=api_key)
     voices_to_import = pd.read_csv(input_csv_path)
 

scripts/export_available_voices.py

@@ -18,29 +18,53 @@ load_dotenv()
 
 
 @click.command()
-@click.option("-ak", "--api-key", envvar="11LABS_API_KEY")
+@click.option("-ak", "--api-key", envvar="ELEVEN_LABS_API_KEY")
 @click.option("-o", "--output-csv-path", default="data/11labs_available_tts_voices.csv")
 def main(*, api_key: str | None, output_csv_path: str) -> None:
     if api_key is None:
-        raise OSError("Who's gonna set the `11LABS_API_KEY` environmental variable?")
-    
+        raise OSError(
+            "Who's gonna set the `ELEVEN_LABS_API_KEY` environmental variable?"
+        )
+
     client = ElevenLabs(api_key=api_key)
     response = client.voices.get_all()
-    available_voices = pd.DataFrame.from_records([voice.model_dump(
-        include={
-            "voice_id", "name", "language", "labels", "description", "preview_url",
-        },
-    ) for voice in response.voices])
-    available_voices = pd.concat((
-        available_voices.drop(columns=[
-            "labels", "description", "available_for_tiers", "settings", "sharing",
-            "high_quality_base_model_ids", "safety_control", "voice_verification",
-            "category", "samples",
-        ]),
-        pd.DataFrame.from_records(available_voices["labels"]).rename(
-            columns={"use_case": "category"}
+    available_voices = pd.DataFrame.from_records(
+        [
+            voice.model_dump(
+                include={
+                    "voice_id",
+                    "name",
+                    "language",
+                    "labels",
+                    "description",
+                    "preview_url",
+                },
+            )
+            for voice in response.voices
+        ]
+    )
+    available_voices = pd.concat(
+        (
+            available_voices.drop(
+                columns=[
+                    "labels",
+                    "description",
+                    "available_for_tiers",
+                    "settings",
+                    "sharing",
+                    "high_quality_base_model_ids",
+                    "safety_control",
+                    "voice_verification",
+                    "category",
+                    "samples",
+                ]
+            ),
+            pd.DataFrame.from_records(available_voices["labels"]).rename(
+                columns={"use_case": "category"}
+            ),
         ),
-    ), axis=1)
+        axis=1,
+    )
 
     available_voices.drop(columns="fine_tuning").to_csv(output_csv_path, index=False)
 

src/config.py

@@ -8,7 +8,7 @@ logging.basicConfig(
 logger = logging.getLogger("audio-books")
 
 
-ELEVENLABS_API_KEY = os.environ["11LABS_API_KEY"]
+ELEVENLABS_API_KEY = os.environ["ELEVEN_LABS_API_KEY"]
 AI_ML_API_KEY = os.environ["AIML_API_KEY"]
 
 FILE_SIZE_MAX = 0.5  # in mb