diff --git a/assets/bria.mp3 b/assets/bria.mp3
index 9373313..17f5f80 100644
Binary files a/assets/bria.mp3 and b/assets/bria.mp3 differ
diff --git a/fam/llm/fast_inference.py b/fam/llm/fast_inference.py
index 904aeb9..20d593c 100644
--- a/fam/llm/fast_inference.py
+++ b/fam/llm/fast_inference.py
@@ -29,6 +29,10 @@
     get_device,
     normalize_text,
 )
+from fam.telemetry import TelemetryEvent
+from fam.telemetry.posthog import PosthogClient
+
+posthog = PosthogClient()  # see fam/telemetry/README.md for more information
 
 
 class TTS:
@@ -68,7 +72,7 @@ def __init__(
         os.makedirs(self.output_dir, exist_ok=True)
         if first_stage_path:
             print(f"Overriding first stage checkpoint via provided model: {first_stage_path}")
-        first_stage_ckpt = first_stage_path or f"{self._model_dir}/first_stage.pt"
+        self._first_stage_ckpt = first_stage_path or f"{self._model_dir}/first_stage.pt"
 
         second_stage_ckpt_path = f"{self._model_dir}/second_stage.pt"
         config_second_stage = InferenceConfig(
@@ -90,13 +94,16 @@ def __init__(
         self.precision = {"float16": torch.float16, "bfloat16": torch.bfloat16}[self._dtype]
         self.model, self.tokenizer, self.smodel, self.model_size = build_model(
             precision=self.precision,
-            checkpoint_path=Path(first_stage_ckpt),
+            checkpoint_path=Path(self._first_stage_ckpt),
             spk_emb_ckpt_path=Path(f"{self._model_dir}/speaker_encoder.pt"),
             device=self._device,
             compile=True,
             compile_prefill=True,
             quantisation_mode=quantisation_mode,
         )
+        self._seed = seed
+        self._quantisation_mode = quantisation_mode
+        self._model_name = model_name
 
     def synthesise(self, text: str, spk_ref_path: str, top_p=0.95, guidance_scale=3.0, temperature=1.0) -> str:
         """
@@ -156,8 +163,29 @@ def synthesise(self, text: str, spk_ref_path: str, top_p=0.95, guidance_scale=3.
         time_to_synth_s = time.time() - start
         audio, sr = librosa.load(str(wav_file) + ".wav")
         duration_s = librosa.get_duration(y=audio, sr=sr)
+        real_time_factor = time_to_synth_s / duration_s
         print(f"\nTotal time to synth (s): {time_to_synth_s}")
-        print(f"Real-time factor: {time_to_synth_s / duration_s:.2f}")
+        print(f"Real-time factor: {real_time_factor:.2f}")
+
+        posthog.capture(
+            TelemetryEvent(
+                name="user_ran_tts",
+                properties={
+                    "text": text,
+                    "temperature": temperature,
+                    "guidance_scale": guidance_scale,
+                    "top_p": top_p,
+                    "spk_ref_path": spk_ref_path,
+                    "speech_duration_s": duration_s,
+                    "time_to_synth_s": time_to_synth_s,
+                    "real_time_factor": round(real_time_factor, 2),
+                    "quantisation_mode": self._quantisation_mode,
+                    "seed": self._seed,
+                    "first_stage_ckpt": self._first_stage_ckpt,
+                    "gpu": torch.cuda.get_device_name(0),
+                },
+            )
+        )
 
         return str(wav_file) + ".wav"
 
diff --git a/fam/llm/finetune.py b/fam/llm/finetune.py
index 27a29a6..eab55bb 100644
--- a/fam/llm/finetune.py
+++ b/fam/llm/finetune.py
@@ -4,8 +4,8 @@
 
 import itertools
 import math
-from pathlib import Path
 import time
+from pathlib import Path
 from typing import Any, Dict, Optional
 
 import click
@@ -19,7 +19,12 @@
 from fam.llm.model import GPT, GPTConfig
 from fam.llm.preprocessing.audio_token_mode import get_params_for_mode
 from fam.llm.preprocessing.data_pipeline import get_training_tuple
+from fam.llm.utils import hash_dictionary
+from fam.telemetry import TelemetryEvent
+from fam.telemetry.posthog import PosthogClient
 
+# see fam/telemetry/README.md for more information
+posthog = PosthogClient()
 
 dtype: Literal["bfloat16", "float16", "tfloat32", "float32"] = (
     "bfloat16" if torch.cuda.is_available() and torch.cuda.is_bf16_supported() else "float16"
@@ -50,11 +55,13 @@
     ckpts_save_dir = ckpts_base_dir / out_dir
     os.makedirs(ckpts_save_dir, exist_ok=True)
 
+
 def get_globals_state():
-    """ Return entirety of configuration global state which can be used for logging. """
+    """Return entirety of configuration global state which can be used for logging."""
     config_keys = [k for k, v in globals().items() if not k.startswith("_") and isinstance(v, (int, float, bool, str))]
     return {k: globals()[k] for k in config_keys}  # will be useful for logging
 
+
 model_args: dict = dict(
     n_layer=n_layer,
     n_head=n_head,
@@ -72,6 +79,7 @@ def get_globals_state():
     swiglu_multiple_of=swiglu_multiple_of,
 )  # start with model_args from command line
 
+
 def strip_prefix(state_dict: Dict[str, Any], unwanted_prefix: str):
     # TODO: this also appears in fast_inference_utils._load_model, it should be moved to a common place.
     for k, v in list(state_dict.items()):
@@ -146,19 +154,13 @@ def main(train: Path, val: Path, model_id: str, ckpt: Optional[Path], spk_emb_ck
         allow_ops_in_compiled_graph()
         model = torch.compile(model)  # type: ignore
 
-    def estimate_loss(dataset, iters: int=eval_iters):
-        """ Estimate loss on a dataset by running on `iters` batches. """
+    def estimate_loss(dataset, iters: int = eval_iters):
+        """Estimate loss on a dataset by running on `iters` batches."""
         if dataset is None:
             return torch.nan
         losses = []
         for _, batch in zip(tqdm(range(iters)), dataset):
-            X, Y, SE = get_training_tuple(
-                batch,
-                causal,
-                num_codebooks,
-                speaker_cond,
-                device
-            )
+            X, Y, SE = get_training_tuple(batch, causal, num_codebooks, speaker_cond, device)
             with ctx:
                 _, loss = model(X, Y, speaker_embs=SE, speaker_emb_mask=None)
             losses.append(loss.item())
@@ -206,9 +208,7 @@ def get_lr(it):
         mode_params["ctx_window"],
         device,
     )
-    train_dataloader = itertools.cycle(
-        DataLoader(train_dataset, batch_size, shuffle=True)
-    )
+    train_dataloader = itertools.cycle(DataLoader(train_dataset, batch_size, shuffle=True))
     train_data = iter(train_dataloader)
     # we do not perform any explicit checks for dataset overlap & leave it to the user
     # to handle this
@@ -219,13 +219,7 @@ def get_lr(it):
     eval_train_data = DataLoader(train_dataset, batch_size, shuffle=True)
 
     batch = next(train_data)
-    X, Y, SE = get_training_tuple(
-        batch,
-        causal,
-        num_codebooks,
-        speaker_cond,
-        device
-    )
+    X, Y, SE = get_training_tuple(batch, causal, num_codebooks, speaker_cond, device)
 
     t0 = time.time()
     local_iter_num = 0  # number of iterations in the lifetime of this process
@@ -244,11 +238,29 @@ def get_lr(it):
     for param in model.parameters():
         param.requires_grad = False
     for param in itertools.chain(
-        model.transformer.ln_f.parameters(), model.transformer.h[last_n_blocks_to_finetune*-1:].parameters()
+        model.transformer.ln_f.parameters(), model.transformer.h[last_n_blocks_to_finetune * -1 :].parameters()
     ):
         param.requires_grad = True
     print(f"After freezing excl. last {last_n_blocks_to_finetune} transformer blocks: {trainable_count(model)=}...")
 
+    # log start of finetuning event
+    properties = {
+        **config,
+        **model_args,
+        "train": str(train),
+        "val": str(val),
+        "model_id": model_id,
+        "ckpt": ckpt,
+        "spk_emb_ckpt": spk_emb_ckpt,
+    }
+    finetune_jobid = hash_dictionary(properties)
+    posthog.capture(
+        TelemetryEvent(
+            name="user_started_finetuning",
+            properties={"finetune_jobid": finetune_jobid, **properties},
+        )
+    )
+
     while True:
         lr = get_lr(iter_num) if decay_lr else learning_rate
         for param_group in optimizer.param_groups:
@@ -278,7 +290,9 @@ def get_lr(it):
                 if losses["val"] < best_val_loss:
                     best_val_loss = losses["val"]
                     if iter_num > 0:
-                        ckpt_save_name = ckpt_save_name.replace(".pt", f"_bestval_{best_val_loss}".replace(".", "_") + ".pt")
+                        ckpt_save_name = ckpt_save_name.replace(
+                            ".pt", f"_bestval_{best_val_loss}".replace(".", "_") + ".pt"
+                        )
                         save_checkpoint = True
 
                 save_checkpoint = save_checkpoint or iter_num % save_interval == 0
@@ -352,7 +366,14 @@ def get_lr(it):
 
             # termination conditions
             if iter_num > max_iters:
-                break
+                # log end of finetuning event
+                posthog.capture(
+                    TelemetryEvent(
+                        name="user_completed_finetuning",
+                        properties={"finetune_jobid": finetune_jobid, "loss": round(lossf, 4)},
+                    )
+                )
+
 
 if __name__ == "__main__":
     main()
diff --git a/fam/llm/inference.py b/fam/llm/inference.py
index 975f5d9..60b9325 100644
--- a/fam/llm/inference.py
+++ b/fam/llm/inference.py
@@ -402,8 +402,8 @@ def get_cached_file(file_or_uri: str):
         # hash the file path to get the cache name
         _cache_name = "audio_" + hashlib.md5(file_or_uri.encode("utf-8")).hexdigest() + ext
 
-        os.makedirs(os.path.expanduser("~/.cache/fam/"), exist_ok=True)
-        cache_path = os.path.expanduser(f"~/.cache/fam/{_cache_name}")
+        os.makedirs(os.path.expanduser("~/.cache/metavoice/"), exist_ok=True)
+        cache_path = os.path.expanduser(f"~/.cache/metavoice/{_cache_name}")
 
         if not os.path.exists(cache_path):
             command = f"curl -o {cache_path} {file_or_uri}"
diff --git a/fam/llm/utils.py b/fam/llm/utils.py
index dbfcd40..9bc2975 100644
--- a/fam/llm/utils.py
+++ b/fam/llm/utils.py
@@ -1,3 +1,5 @@
+import hashlib
+import json
 import os
 import re
 import subprocess
@@ -87,3 +89,15 @@ def get_default_dtype() -> str:
 
 def get_device() -> str:
     return "cuda" if torch.cuda.is_available() else "cpu"
+
+
+def hash_dictionary(d: dict):
+    # Serialize the dictionary into JSON with sorted keys to ensure consistency
+    serialized = json.dumps(d, sort_keys=True)
+    # Encode the serialized string to bytes
+    encoded = serialized.encode()
+    # Create a hash object (you can also use sha1, sha512, etc.)
+    hash_object = hashlib.sha256(encoded)
+    # Get the hexadecimal digest of the hash
+    hash_digest = hash_object.hexdigest()
+    return hash_digest
diff --git a/fam/telemetry/README.md b/fam/telemetry/README.md
new file mode 100644
index 0000000..b7ff4ad
--- /dev/null
+++ b/fam/telemetry/README.md
@@ -0,0 +1,5 @@
+# Telemetry
+
+This directory holds all the telemetry for MetaVoice. We, MetaVoice, capture anonymized telemetry to understand usage patterns.
+
+If you prefer to opt out of telemetry, set `ANONYMIZED_TELEMETRY=False` in an .env file at the root level of this repo.
diff --git a/fam/telemetry/__init__.py b/fam/telemetry/__init__.py
new file mode 100644
index 0000000..8825507
--- /dev/null
+++ b/fam/telemetry/__init__.py
@@ -0,0 +1,43 @@
+import abc
+import os
+import uuid
+from abc import abstractmethod
+from dataclasses import dataclass
+from pathlib import Path
+
+
+@dataclass(frozen=True)
+class TelemetryEvent:
+    name: str
+    properties: dict
+
+
+class TelemetryClient(abc.ABC):
+    USER_ID_PATH = str(Path.home() / ".cache" / "metavoice" / "telemetry_user_id")
+    UNKNOWN_USER_ID = "UNKNOWN"
+    _curr_user_id = None
+
+    @abstractmethod
+    def capture(self, event: TelemetryEvent) -> None:
+        pass
+
+    @property
+    def user_id(self) -> str:
+        if self._curr_user_id:
+            return self._curr_user_id
+
+        # File access may fail due to permissions or other reasons. We don't want to
+        # crash so we catch all exceptions.
+        try:
+            if not os.path.exists(self.USER_ID_PATH):
+                os.makedirs(os.path.dirname(self.USER_ID_PATH), exist_ok=True)
+                with open(self.USER_ID_PATH, "w") as f:
+                    new_user_id = str(uuid.uuid4())
+                    f.write(new_user_id)
+                self._curr_user_id = new_user_id
+            else:
+                with open(self.USER_ID_PATH, "r") as f:
+                    self._curr_user_id = f.read()
+        except Exception:
+            self._curr_user_id = self.UNKNOWN_USER_ID
+        return self._curr_user_id
diff --git a/fam/telemetry/posthog.py b/fam/telemetry/posthog.py
new file mode 100644
index 0000000..e4111ae
--- /dev/null
+++ b/fam/telemetry/posthog.py
@@ -0,0 +1,40 @@
+import logging
+import os
+import sys
+
+from dotenv import load_dotenv
+from posthog import Posthog
+
+from fam.telemetry import TelemetryClient, TelemetryEvent
+
+load_dotenv()
+logger = logging.getLogger(__name__)
+logging.basicConfig(level=logging.INFO, handlers=[logging.StreamHandler(sys.stdout), logging.StreamHandler(sys.stderr)])
+
+
+class PosthogClient(TelemetryClient):
+    def __init__(self):
+        self._posthog = Posthog(
+            project_api_key="phc_tk7IUlV7Q7lEa9LNbXxyC1sMWlCqiW6DkHyhJrbWMCS", host="https://eu.posthog.com"
+        )
+
+        if not os.getenv("ANONYMIZED_TELEMETRY", True) or "pytest" in sys.modules:
+            self._posthog.disabled = True
+            logger.info("Anonymized telemetry disabled. See fam/telemetry/README.md for more information.")
+        else:
+            logger.info("Anonymized telemetry enabled. See fam/telemetry/README.md for more information.")
+
+        posthog_logger = logging.getLogger("posthog")
+        posthog_logger.disabled = True  # Silence posthog's logging
+
+        super().__init__()
+
+    def capture(self, event: TelemetryEvent) -> None:
+        try:
+            self._posthog.capture(
+                self.user_id,
+                event.name,
+                {**event.properties},
+            )
+        except Exception as e:
+            logger.error(f"Failed to send telemetry event {event.name}: {e}")
diff --git a/poetry.lock b/poetry.lock
index 5b07685..3a3c7e7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,13 +13,13 @@ files = [
 
 [[package]]
 name = "altair"
-version = "5.2.0"
+version = "5.3.0"
 description = "Vega-Altair: A declarative statistical visualization library for Python."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "altair-5.2.0-py3-none-any.whl", hash = "sha256:8c4888ad11db7c39f3f17aa7f4ea985775da389d79ac30a6c22856ab238df399"},
-    {file = "altair-5.2.0.tar.gz", hash = "sha256:2ad7f0c8010ebbc46319cc30febfb8e59ccf84969a201541c207bc3a4fa6cf81"},
+    {file = "altair-5.3.0-py3-none-any.whl", hash = "sha256:7084a1dab4d83c5e7e5246b92dc1b4451a6c68fd057f3716ee9d315c8980e59a"},
+    {file = "altair-5.3.0.tar.gz", hash = "sha256:5a268b1a0983b23d8f9129f819f956174aa7aea2719ed55a52eba9979b9f6675"},
 ]
 
 [package.dependencies]
@@ -32,7 +32,8 @@ toolz = "*"
 typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-dev = ["anywidget", "geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pyarrow (>=11)", "pytest", "pytest-cov", "ruff (>=0.1.3)", "types-jsonschema", "types-setuptools", "vega-datasets", "vegafusion[embed] (>=1.4.0)", "vl-convert-python (>=1.1.0)"]
+all = ["altair-tiles (>=0.3.0)", "anywidget (>=0.9.0)", "pyarrow (>=11)", "vega-datasets (>=0.9.0)", "vegafusion[embed] (>=1.6.6)", "vl-convert-python (>=1.3.0)"]
+dev = ["geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pytest", "pytest-cov", "ruff (>=0.3.0)", "types-jsonschema", "types-setuptools"]
 doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
 
 [[package]]
@@ -89,6 +90,24 @@ files = [
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 
+[[package]]
+name = "asttokens"
+version = "2.4.1"
+description = "Annotate AST trees with source code positions"
+optional = false
+python-versions = "*"
+files = [
+    {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
+    {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
+]
+
+[package.dependencies]
+six = ">=1.12.0"
+
+[package.extras]
+astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
+test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
+
 [[package]]
 name = "attrs"
 version = "23.2.0"
@@ -213,6 +232,17 @@ files = [
     {file = "av-12.0.0.tar.gz", hash = "sha256:bcf21ebb722d4538b4099e5a78f730d78814dd70003511c185941dba5651b14d"},
 ]
 
+[[package]]
+name = "backoff"
+version = "2.2.1"
+description = "Function decoration for backoff and retry"
+optional = false
+python-versions = ">=3.7,<4.0"
+files = [
+    {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
+    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
+]
+
 [[package]]
 name = "blis"
 version = "0.7.11"
@@ -545,64 +575,64 @@ srsly = ">=2.4.0,<3.0.0"
 
 [[package]]
 name = "contourpy"
-version = "1.2.0"
+version = "1.2.1"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "contourpy-1.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0274c1cb63625972c0c007ab14dd9ba9e199c36ae1a231ce45d725cbcbfd10a8"},
-    {file = "contourpy-1.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ab459a1cbbf18e8698399c595a01f6dcc5c138220ca3ea9e7e6126232d102bb4"},
-    {file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fdd887f17c2f4572ce548461e4f96396681212d858cae7bd52ba3310bc6f00f"},
-    {file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5d16edfc3fc09968e09ddffada434b3bf989bf4911535e04eada58469873e28e"},
-    {file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1c203f617abc0dde5792beb586f827021069fb6d403d7f4d5c2b543d87edceb9"},
-    {file = "contourpy-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b69303ceb2e4d4f146bf82fda78891ef7bcd80c41bf16bfca3d0d7eb545448aa"},
-    {file = "contourpy-1.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:884c3f9d42d7218304bc74a8a7693d172685c84bd7ab2bab1ee567b769696df9"},
-    {file = "contourpy-1.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4a1b1208102be6e851f20066bf0e7a96b7d48a07c9b0cfe6d0d4545c2f6cadab"},
-    {file = "contourpy-1.2.0-cp310-cp310-win32.whl", hash = "sha256:34b9071c040d6fe45d9826cbbe3727d20d83f1b6110d219b83eb0e2a01d79488"},
-    {file = "contourpy-1.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:bd2f1ae63998da104f16a8b788f685e55d65760cd1929518fd94cd682bf03e41"},
-    {file = "contourpy-1.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:dd10c26b4eadae44783c45ad6655220426f971c61d9b239e6f7b16d5cdaaa727"},
-    {file = "contourpy-1.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5c6b28956b7b232ae801406e529ad7b350d3f09a4fde958dfdf3c0520cdde0dd"},
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 [package.dependencies]
-numpy = ">=1.20,<2.0"
+numpy = ">=1.20"
 
 [package.extras]
 bokeh = ["bokeh", "selenium"]
 docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
-mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.6.1)", "types-Pillow"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.8.0)", "types-Pillow"]
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
@@ -867,20 +897,34 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "executing"
+version = "2.0.1"
+description = "Get the currently executing AST node of a frame, and other information"
+optional = false
+python-versions = ">=3.5"
+files = [
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+]
+
+[package.extras]
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+
 [[package]]
 name = "fastapi"
-version = "0.110.0"
+version = "0.110.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
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-starlette = ">=0.36.3,<0.37.0"
+starlette = ">=0.37.2,<0.38.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -898,13 +942,13 @@ files = [
 
 [[package]]
 name = "filelock"
-version = "3.13.3"
+version = "3.13.4"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.extras]
@@ -933,53 +977,53 @@ dev = ["coverage", "flake8", "hydra_core", "mypy", "pdoc3", "pytest"]
 
 [[package]]
 name = "fonttools"
-version = "4.50.0"
+version = "4.51.0"
 description = "Tools to manipulate font files"
 optional = false
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 [package.extras]
@@ -1047,30 +1091,31 @@ smmap = ">=3.0.1,<6"
 
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+version = "3.1.43"
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 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -1078,7 +1123,7 @@ aiofiles = ">=22.0,<24.0"
 altair = ">=4.2.0,<6.0"
 fastapi = "*"
 ffmpy = "*"
-gradio-client = "0.14.0"
+gradio-client = "0.15.1"
 httpx = ">=0.24.1"
 huggingface-hub = ">=0.19.3"
 importlib-resources = ">=1.3,<7.0"
@@ -1106,13 +1151,13 @@ oauth = ["authlib", "itsdangerous"]
 
 [[package]]
 name = "gradio-client"
-version = "0.14.0"
+version = "0.15.1"
 description = "Python library for easily interacting with trained machine learning models"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "gradio_client-0.14.0-py3-none-any.whl", hash = "sha256:fdce4ecabc1d06d40bffd18923c9710b021d012edba8a1f851bc109eb9ee443e"},
-    {file = "gradio_client-0.14.0.tar.gz", hash = "sha256:18be8d5fb6468729f19547b39d89b66ec9e775d0c5ce9666cc940f11ab1a519c"},
+    {file = "gradio_client-0.15.1-py3-none-any.whl", hash = "sha256:c31f2e00030cf39df7f198d1e430f38500b27232b7b62a7c42bdb26aee4c75b1"},
+    {file = "gradio_client-0.15.1.tar.gz", hash = "sha256:c6b12f7d3f63b65d6539920023ca733fddcacdc45a712c0c32342d34428c8130"},
 ]
 
 [package.dependencies]
@@ -1259,13 +1304,13 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.6"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
-    {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
-    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
+    {file = "idna-3.7-py3-none-any.whl", hash = "sha256:82fee1fc78add43492d3a1898bfa6d8a904cc97d8427f683ed8e798d07761aa0"},
+    {file = "idna-3.7.tar.gz", hash = "sha256:028ff3aadf0609c1fd278d8ea3089299412a7a8b9bd005dd08b9f8285bcb5cfc"},
 ]
 
 [[package]]
@@ -1294,6 +1339,79 @@ files = [
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 ]
 
+[[package]]
+name = "ipdb"
+version = "0.13.13"
+description = "IPython-enabled pdb"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "ipdb-0.13.13-py3-none-any.whl", hash = "sha256:45529994741c4ab6d2388bfa5d7b725c2cf7fe9deffabdb8a6113aa5ed449ed4"},
+    {file = "ipdb-0.13.13.tar.gz", hash = "sha256:e3ac6018ef05126d442af680aad863006ec19d02290561ac88b8b1c0b0cfc726"},
+]
+
+[package.dependencies]
+decorator = {version = "*", markers = "python_version > \"3.6\""}
+ipython = {version = ">=7.31.1", markers = "python_version > \"3.6\""}
+tomli = {version = "*", markers = "python_version > \"3.6\" and python_version < \"3.11\""}
+
+[[package]]
+name = "ipython"
+version = "8.23.0"
+description = "IPython: Productive Interactive Computing"
+optional = false
+python-versions = ">=3.10"
+files = [
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+    {file = "ipython-8.23.0.tar.gz", hash = "sha256:7468edaf4f6de3e1b912e57f66c241e6fd3c7099f2ec2136e239e142e800274d"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+decorator = "*"
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+jedi = ">=0.16"
+matplotlib-inline = "*"
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
+prompt-toolkit = ">=3.0.41,<3.1.0"
+pygments = ">=2.4.0"
+stack-data = "*"
+traitlets = ">=5.13.0"
+typing-extensions = {version = "*", markers = "python_version < \"3.12\""}
+
+[package.extras]
+all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
+black = ["black"]
+doc = ["docrepr", "exceptiongroup", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "stack-data", "typing-extensions"]
+kernel = ["ipykernel"]
+matplotlib = ["matplotlib"]
+nbconvert = ["nbconvert"]
+nbformat = ["nbformat"]
+notebook = ["ipywidgets", "notebook"]
+parallel = ["ipyparallel"]
+qtconsole = ["qtconsole"]
+test = ["pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
+
+[[package]]
+name = "jedi"
+version = "0.19.1"
+description = "An autocompletion tool for Python that can be used for text editors."
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
+]
+
+[package.dependencies]
+parso = ">=0.8.3,<0.9.0"
+
+[package.extras]
+docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+
 [[package]]
 name = "jinja2"
 version = "3.1.3"
@@ -1313,13 +1431,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.3.2"
+version = "1.4.0"
 description = "Lightweight pipelining with Python functions"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "joblib-1.4.0-py3-none-any.whl", hash = "sha256:42942470d4062537be4d54c83511186da1fc14ba354961a2114da91efa9a4ed7"},
+    {file = "joblib-1.4.0.tar.gz", hash = "sha256:1eb0dc091919cd384490de890cb5dfd538410a6d4b3b54eef09fb8c50b409b1c"},
 ]
 
 [[package]]
@@ -1580,17 +1698,21 @@ data = ["language-data (>=1.1,<2.0)"]
 
 [[package]]
 name = "lazy-loader"
-version = "0.3"
-description = "lazy_loader"
+version = "0.4"
+description = "Makes it easy to load subpackages and functions on demand."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "lazy_loader-0.3-py3-none-any.whl", hash = "sha256:1e9e76ee8631e264c62ce10006718e80b2cfc74340d17d1031e0f84af7478554"},
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+    {file = "lazy_loader-0.4-py3-none-any.whl", hash = "sha256:342aa8e14d543a154047afb4ba8ef17f5563baad3fc610d7b15b213b0f119efc"},
+    {file = "lazy_loader-0.4.tar.gz", hash = "sha256:47c75182589b91a4e1a85a136c074285a5ad4d9f39c63e0d7fb76391c4574cd1"},
 ]
 
+[package.dependencies]
+packaging = "*"
+
 [package.extras]
-lint = ["pre-commit (>=3.3)"]
+dev = ["changelist (==0.5)"]
+lint = ["pre-commit (==3.7.0)"]
 test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
 
 [[package]]
@@ -1788,39 +1910,39 @@ files = [
 
 [[package]]
 name = "matplotlib"
-version = "3.8.3"
+version = "3.8.4"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.9"
 files = [
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+    {file = "matplotlib-3.8.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:c7064120a59ce6f64103c9cefba8ffe6fba87f2c61d67c401186423c9a20fd35"},
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+    {file = "matplotlib-3.8.4.tar.gz", hash = "sha256:8aac397d5e9ec158960e31c381c5ffc52ddd52bd9a47717e2a694038167dffea"},
 ]
 
 [package.dependencies]
@@ -1828,12 +1950,26 @@ contourpy = ">=1.0.1"
 cycler = ">=0.10"
 fonttools = ">=4.22.0"
 kiwisolver = ">=1.3.1"
-numpy = ">=1.21,<2"
+numpy = ">=1.21"
 packaging = ">=20.0"
 pillow = ">=8"
 pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 
+[[package]]
+name = "matplotlib-inline"
+version = "0.1.7"
+description = "Inline Matplotlib backend for Jupyter"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"},
+    {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"},
+]
+
+[package.dependencies]
+traitlets = "*"
+
 [[package]]
 name = "mdurl"
 version = "0.1.2"
@@ -1845,6 +1981,17 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
+[[package]]
+name = "monotonic"
+version = "1.6"
+description = "An implementation of time.monotonic() for Python 2 & < 3.3"
+optional = false
+python-versions = "*"
+files = [
+    {file = "monotonic-1.6-py2.py3-none-any.whl", hash = "sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c"},
+    {file = "monotonic-1.6.tar.gz", hash = "sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7"},
+]
+
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -1924,7 +2071,6 @@ files = [
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 ]
 
@@ -1972,20 +2118,20 @@ files = [
 
 [[package]]
 name = "networkx"
-version = "3.2.1"
+version = "3.3"
 description = "Python package for creating and manipulating graphs and networks"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
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+    {file = "networkx-3.3-py3-none-any.whl", hash = "sha256:28575580c6ebdaf4505b22c6256a2b9de86b316dc63ba9e93abde3d78dfdbcf2"},
+    {file = "networkx-3.3.tar.gz", hash = "sha256:0c127d8b2f4865f59ae9cb8aafcd60b5c70f3241ebd66f7defad7c4ab90126c9"},
 ]
 
 [package.extras]
-default = ["matplotlib (>=3.5)", "numpy (>=1.22)", "pandas (>=1.4)", "scipy (>=1.9,!=1.11.0,!=1.11.1)"]
-developer = ["changelist (==0.4)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
-doc = ["nb2plots (>=0.7)", "nbconvert (<7.9)", "numpydoc (>=1.6)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.14)", "sphinx (>=7)", "sphinx-gallery (>=0.14)", "texext (>=0.6.7)"]
-extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.11)", "sympy (>=1.10)"]
+default = ["matplotlib (>=3.6)", "numpy (>=1.23)", "pandas (>=1.4)", "scipy (>=1.9,!=1.11.0,!=1.11.1)"]
+developer = ["changelist (==0.5)", "mypy (>=1.1)", "pre-commit (>=3.2)", "rtoml"]
+doc = ["myst-nb (>=1.0)", "numpydoc (>=1.7)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.14)", "sphinx (>=7)", "sphinx-gallery (>=0.14)", "texext (>=0.6.7)"]
+extra = ["lxml (>=4.6)", "pydot (>=2.0)", "pygraphviz (>=1.12)", "sympy (>=1.10)"]
 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
@@ -2139,13 +2285,13 @@ PyYAML = ">=5.1.0"
 
 [[package]]
 name = "openunmix"
-version = "1.2.1"
+version = "1.3.0"
 description = "PyTorch-based music source separation toolkit"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.9"
 files = [
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+    {file = "openunmix-1.3.0.tar.gz", hash = "sha256:cc9245ce728700f5d0b72c67f01be4162777e617cdc47f9b035963afac180fc8"},
 ]
 
 [package.dependencies]
@@ -2158,66 +2304,66 @@ tqdm = "*"
 asteroid = ["asteroid-filterbanks (>=0.3.2)"]
 evaluation = ["musdb (>=0.4.0)", "museval (>=0.4.0)"]
 stempeg = ["stempeg"]
-tests = ["asteroid-filterbanks (>=0.3.2)", "musdb (>=0.4.0)", "museval (>=0.4.0)", "onnx", "pytest", "tqdm"]
+tests = ["asteroid-filterbanks (>=0.3.2)", "musdb (>=0.4.0)", "museval (>=0.4.0)", "onnx", "pytest", "stempeg", "tqdm"]
 
 [[package]]
 name = "orjson"
-version = "3.10.0"
+version = "3.10.1"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.9.2)"]
 
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+
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@@ -2440,6 +2616,29 @@ progress = ["tqdm (>=4.41.0,<5.0.0)"]
 sftp = ["paramiko (>=2.7.0)"]
 xxhash = ["xxhash (>=1.4.3)"]
 
+[[package]]
+name = "posthog"
+version = "3.5.0"
+description = "Integrate PostHog into any python application."
+optional = false
+python-versions = "*"
+files = [
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+
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+monotonic = ">=1.5"
+python-dateutil = ">2.1"
+requests = ">=2.7,<3.0"
+six = ">=1.5"
+
+[package.extras]
+dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"]
+sentry = ["django", "sentry-sdk"]
+test = ["coverage", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"]
+
 [[package]]
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 version = "3.7.0"
@@ -2504,6 +2703,20 @@ files = [
 cymem = ">=2.0.2,<2.1.0"
 murmurhash = ">=0.28.0,<1.1.0"
 
+[[package]]
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+version = "3.0.43"
+description = "Library for building powerful interactive command lines in Python"
+optional = false
+python-versions = ">=3.7.0"
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+
+[package.dependencies]
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+
 [[package]]
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 version = "4.25.3"
@@ -2552,31 +2765,56 @@ files = [
 [package.extras]
 test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
+[[package]]
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+
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+python-versions = "*"
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+[package.extras]
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+
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+version = "2.22"
 description = "C parser in Python"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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-version = "2.6.4"
+version = "2.7.0"
 description = "Data validation using Python type hints"
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 python-versions = ">=3.8"
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 [[package]]
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-numpy = ">=1.19.5,<2.0"
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 scipy = ">=1.6.0"
 threadpoolctl = ">=2.0.0"
 
@@ -3314,45 +3556,45 @@ tests = ["black (>=23.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.3)", "numpydoc (
 
 [[package]]
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 ]
 
 [package.dependencies]
-numpy = ">=1.22.4,<1.29.0"
+numpy = ">=1.22.4,<2.3"
 
 [package.extras]
-dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
-doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
-test = ["asv", "gmpy2", "hypothesis", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
+doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.12.0)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0)", "sphinx-design (>=0.4.0)"]
+test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
 name = "semantic-version"
@@ -3433,13 +3675,13 @@ files = [
 
 [[package]]
 name = "sentry-sdk"
-version = "1.44.0"
+version = "1.45.0"
 description = "Python client for Sentry (https://sentry.io)"
 optional = true
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -3580,18 +3822,18 @@ test = ["pytest"]
 
 [[package]]
 name = "setuptools"
-version = "69.2.0"
+version = "69.5.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
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 [[package]]
@@ -3898,15 +4140,34 @@ files = [
 [package.dependencies]
 catalogue = ">=2.0.3,<2.1.0"
 
+[[package]]
+name = "stack-data"
+version = "0.6.3"
+description = "Extract data from python stack frames and tracebacks for informative displays"
+optional = false
+python-versions = "*"
+files = [
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+]
+
+[package.dependencies]
+asttokens = ">=2.1.0"
+executing = ">=1.2.0"
+pure-eval = "*"
+
+[package.extras]
+tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
+
 [[package]]
 name = "starlette"
-version = "0.36.3"
+version = "0.37.2"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "starlette-0.36.3-py3-none-any.whl", hash = "sha256:13d429aa93a61dc40bf503e8c801db1f1bca3dc706b10ef2434a36123568f044"},
-    {file = "starlette-0.36.3.tar.gz", hash = "sha256:90a671733cfb35771d8cc605e0b679d23b992f8dcfad48cc60b38cb29aeb7080"},
+    {file = "starlette-0.37.2-py3-none-any.whl", hash = "sha256:6fe59f29268538e5d0d182f2791a479a0c64638e6935d1c6989e63fb2699c6ee"},
+    {file = "starlette-0.37.2.tar.gz", hash = "sha256:9af890290133b79fc3db55474ade20f6220a364a0402e0b556e7cd5e1e093823"},
 ]
 
 [package.dependencies]
@@ -4365,15 +4626,30 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "traitlets"
+version = "5.14.2"
+description = "Traitlets Python configuration system"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "traitlets-5.14.2-py3-none-any.whl", hash = "sha256:fcdf85684a772ddeba87db2f398ce00b40ff550d1528c03c14dbf6a02003cd80"},
+    {file = "traitlets-5.14.2.tar.gz", hash = "sha256:8cdd83c040dab7d1dee822678e5f5d100b514f7b72b01615b26fc5718916fdf9"},
+]
+
+[package.extras]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.1)", "pytest-mock", "pytest-mypy-testing"]
+
 [[package]]
 name = "transformers"
-version = "4.39.2"
+version = "4.39.3"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "transformers-4.39.2-py3-none-any.whl", hash = "sha256:8388a4ae1d91ade935f5c5b36dc47aa1a352b092c30595e3337b49a5f7e71b4e"},
-    {file = "transformers-4.39.2.tar.gz", hash = "sha256:be0c7392cb92ab48efab2656f1cfd1cbda33b2b8a2917a18bd1196707dbebe14"},
+    {file = "transformers-4.39.3-py3-none-any.whl", hash = "sha256:7838034a12cca3168247f9d2d1dba6724c9de3ae0f73a108258c6b8fc5912601"},
+    {file = "transformers-4.39.3.tar.gz", hash = "sha256:2586e5ff4150f122716fc40f5530e92871befc051848fbe82600969c535b762d"},
 ]
 
 [package.dependencies]
@@ -4469,13 +4745,13 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.
 
 [[package]]
 name = "typing-extensions"
-version = "4.10.0"
+version = "4.11.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
-    {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
+    {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
+    {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
 ]
 
 [[package]]
@@ -4568,13 +4844,13 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
 
 [[package]]
 name = "wandb"
-version = "0.16.5"
+version = "0.16.6"
 description = "A CLI and library for interacting with the Weights & Biases API."
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "wandb-0.16.5-py3-none-any.whl", hash = "sha256:023b6c72a6ef13085c9a970f6714548eca64f56d3d8698e42372764950dfd004"},
-    {file = "wandb-0.16.5.tar.gz", hash = "sha256:c317d55af93a688f3eafcdfec897f7b72da1fe1525140e076ecdaab8b09aa46e"},
+    {file = "wandb-0.16.6-py3-none-any.whl", hash = "sha256:5810019a3b981c796e98ea58557a7c380f18834e0c6bdaed15df115522e5616e"},
+    {file = "wandb-0.16.6.tar.gz", hash = "sha256:86f491e3012d715e0d7d7421a4d6de41abef643b7403046261f962f3e512fe1c"},
 ]
 
 [package.dependencies]
@@ -4618,6 +4894,17 @@ files = [
 [package.dependencies]
 colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python_version >= \"3.7\""}
 
+[[package]]
+name = "wcwidth"
+version = "0.2.13"
+description = "Measures the displayed width of unicode strings in a terminal"
+optional = false
+python-versions = "*"
+files = [
+    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
+]
+
 [[package]]
 name = "weasel"
 version = "0.3.4"
@@ -4761,4 +5048,4 @@ observable = ["wandb"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "89904f5c9bfa93a6a9be081abe2af054f7c2da706fc2b6d8016baf0a137f2bce"
+content-hash = "f573cd3164ba98a13980b8267e75bc3c495783377e9e304593083663ebc202c0"
diff --git a/pyproject.toml b/pyproject.toml
index 0ef5cf0..4fcb531 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,10 +24,13 @@ gradio = "^4.20.1"
 huggingface_hub = "^0.21.4"
 click = "^8.1.7"
 wandb = { version = "^0.16.4", optional = true }
+posthog = "^3.5.0"
+python-dotenv = "^1.0.1"
 
 [tool.poetry.dev-dependencies]
 pre-commit = "^3.7.0"
 pytest = "^8.0.2"
+ipdb = "^0.13.13"
 
 [tool.poetry.extras]
 observable = ["wandb"]