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zach
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a4afe51
1
Parent(s):
b50c10f
Add '_' prefix to private methods throughout project, cleans up formatting and comments/docstrings
Browse files- src/app.py +19 -12
- src/config.py +1 -0
- src/constants.py +4 -1
- src/database/database.py +1 -0
- src/integrations/anthropic_api.py +2 -0
- src/integrations/elevenlabs_api.py +1 -0
- src/integrations/hume_api.py +4 -3
- src/main.py +2 -1
- src/utils.py +28 -13
src/app.py
CHANGED
@@ -47,7 +47,7 @@ class App:
|
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self.config = config
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self.db_session_maker = db_session_maker
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49 |
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50 |
-
def
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self,
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character_description: str,
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) -> Tuple[Union[str, gr.update], gr.update]:
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@@ -65,6 +65,7 @@ class App:
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Raises:
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gr.Error: On validation or API errors.
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"""
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try:
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validate_character_description_length(character_description)
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except ValueError as ve:
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@@ -82,7 +83,7 @@ class App:
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logger.error(f"Unexpected error while generating text: {e}")
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raise gr.Error("Failed to generate text. Please try again later.")
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85 |
-
def
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self,
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character_description: str,
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text: str,
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@@ -121,6 +122,7 @@ class App:
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Raises:
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gr.Error: If any API or unexpected errors occur during the TTS synthesis process.
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"""
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if not text:
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logger.warning("Skipping text-to-speech due to empty text.")
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raise gr.Error("Please generate or enter text to synthesize.")
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@@ -185,7 +187,7 @@ class App:
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logger.error(f"Unexpected error during TTS generation: {e}")
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raise gr.Error("An unexpected error ocurred. Please try again later.")
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-
def
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self,
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vote_submitted: bool,
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option_map: OptionMap,
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@@ -214,6 +216,7 @@ class App:
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- An update for the unselected vote button (showing provider).
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- An update for enabling vote interactions.
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"""
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if not option_map or vote_submitted:
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return gr.skip(), gr.skip(), gr.skip(), gr.skip()
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219 |
|
@@ -251,7 +254,7 @@ class App:
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gr.update(interactive=True),
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)
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-
def
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"""
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Resets UI state before generating new text.
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@@ -264,6 +267,7 @@ class App:
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- option_map_state (reset option map state)
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- vote_submitted_state (reset submitted vote state)
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"""
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return (
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gr.update(value=None),
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gr.update(value=None, autoplay=False),
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@@ -273,11 +277,12 @@ class App:
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False,
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)
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-
def
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"""
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Builds the input section including the sample character description dropdown, character
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description input, and generate text button.
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"""
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sample_character_description_dropdown = gr.Dropdown(
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choices=list(constants.SAMPLE_CHARACTER_DESCRIPTIONS.keys()),
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label="Choose a sample character description",
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@@ -299,10 +304,11 @@ class App:
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generate_text_button,
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)
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-
def
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"""
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Builds the output section including text input, audio players, and vote buttons.
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"""
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text_input = gr.Textbox(
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label="Input Text",
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placeholder="Enter or generate text for synthesis...",
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@@ -336,6 +342,7 @@ class App:
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Returns:
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gr.Blocks: The fully constructed Gradio UI layout.
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"""
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custom_theme = CustomTheme()
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with gr.Blocks(
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title="Expressive TTS Arena",
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@@ -364,7 +371,7 @@ class App:
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sample_character_description_dropdown,
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character_description_input,
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generate_text_button,
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-
) = self.
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# Build synthesize speech section
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(
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@@ -374,7 +381,7 @@ class App:
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option_b_audio_player,
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vote_button_a,
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vote_button_b,
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-
) = self.
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# --- UI state components ---
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|
@@ -411,7 +418,7 @@ class App:
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inputs=[],
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outputs=[generate_text_button],
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).then(
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414 |
-
fn=self.
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inputs=[character_description_input],
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outputs=[text_input, generated_text_state],
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).then(
|
@@ -434,7 +441,7 @@ class App:
|
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inputs=[],
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outputs=[synthesize_speech_button, vote_button_a, vote_button_b],
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).then(
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-
fn=self.
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inputs=[],
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outputs=[
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option_a_audio_player,
|
@@ -445,7 +452,7 @@ class App:
|
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vote_submitted_state,
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],
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).then(
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-
fn=self.
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inputs=[character_description_input, text_input, generated_text_state],
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outputs=[
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option_a_audio_player,
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@@ -474,7 +481,7 @@ class App:
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inputs=[],
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outputs=[vote_button_a, vote_button_b],
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).then(
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-
fn=self.
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inputs=[
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vote_submitted_state,
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option_map_state,
|
|
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self.config = config
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self.db_session_maker = db_session_maker
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+
def _generate_text(
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51 |
self,
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52 |
character_description: str,
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53 |
) -> Tuple[Union[str, gr.update], gr.update]:
|
|
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Raises:
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66 |
gr.Error: On validation or API errors.
|
67 |
"""
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+
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try:
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validate_character_description_length(character_description)
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71 |
except ValueError as ve:
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83 |
logger.error(f"Unexpected error while generating text: {e}")
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84 |
raise gr.Error("Failed to generate text. Please try again later.")
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85 |
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+
def _synthesize_speech(
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self,
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character_description: str,
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text: str,
|
|
|
122 |
Raises:
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123 |
gr.Error: If any API or unexpected errors occur during the TTS synthesis process.
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124 |
"""
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125 |
+
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126 |
if not text:
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logger.warning("Skipping text-to-speech due to empty text.")
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128 |
raise gr.Error("Please generate or enter text to synthesize.")
|
|
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187 |
logger.error(f"Unexpected error during TTS generation: {e}")
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188 |
raise gr.Error("An unexpected error ocurred. Please try again later.")
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189 |
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190 |
+
def _vote(
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191 |
self,
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vote_submitted: bool,
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193 |
option_map: OptionMap,
|
|
|
216 |
- An update for the unselected vote button (showing provider).
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217 |
- An update for enabling vote interactions.
|
218 |
"""
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219 |
+
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220 |
if not option_map or vote_submitted:
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221 |
return gr.skip(), gr.skip(), gr.skip(), gr.skip()
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222 |
|
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254 |
gr.update(interactive=True),
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)
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256 |
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257 |
+
def _reset_ui(self) -> Tuple[gr.update, gr.update, gr.update, gr.update, None, bool]:
|
258 |
"""
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259 |
Resets UI state before generating new text.
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260 |
|
|
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267 |
- option_map_state (reset option map state)
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268 |
- vote_submitted_state (reset submitted vote state)
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269 |
"""
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270 |
+
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return (
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272 |
gr.update(value=None),
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273 |
gr.update(value=None, autoplay=False),
|
|
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277 |
False,
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278 |
)
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279 |
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280 |
+
def _build_input_section(self) -> Tuple[gr.Dropdown, gr.Textbox, gr.Button]:
|
281 |
"""
|
282 |
Builds the input section including the sample character description dropdown, character
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283 |
description input, and generate text button.
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284 |
"""
|
285 |
+
|
286 |
sample_character_description_dropdown = gr.Dropdown(
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287 |
choices=list(constants.SAMPLE_CHARACTER_DESCRIPTIONS.keys()),
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288 |
label="Choose a sample character description",
|
|
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304 |
generate_text_button,
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305 |
)
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306 |
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307 |
+
def _build_output_section(self) -> Tuple[gr.Textbox, gr.Button, gr.Audio, gr.Audio, gr.Button, gr.Button]:
|
308 |
"""
|
309 |
Builds the output section including text input, audio players, and vote buttons.
|
310 |
"""
|
311 |
+
|
312 |
text_input = gr.Textbox(
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313 |
label="Input Text",
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314 |
placeholder="Enter or generate text for synthesis...",
|
|
|
342 |
Returns:
|
343 |
gr.Blocks: The fully constructed Gradio UI layout.
|
344 |
"""
|
345 |
+
|
346 |
custom_theme = CustomTheme()
|
347 |
with gr.Blocks(
|
348 |
title="Expressive TTS Arena",
|
|
|
371 |
sample_character_description_dropdown,
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372 |
character_description_input,
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373 |
generate_text_button,
|
374 |
+
) = self._build_input_section()
|
375 |
|
376 |
# Build synthesize speech section
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377 |
(
|
|
|
381 |
option_b_audio_player,
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382 |
vote_button_a,
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383 |
vote_button_b,
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384 |
+
) = self._build_output_section()
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385 |
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386 |
# --- UI state components ---
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387 |
|
|
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418 |
inputs=[],
|
419 |
outputs=[generate_text_button],
|
420 |
).then(
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421 |
+
fn=self._generate_text,
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422 |
inputs=[character_description_input],
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423 |
outputs=[text_input, generated_text_state],
|
424 |
).then(
|
|
|
441 |
inputs=[],
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442 |
outputs=[synthesize_speech_button, vote_button_a, vote_button_b],
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443 |
).then(
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444 |
+
fn=self._reset_ui,
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445 |
inputs=[],
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446 |
outputs=[
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447 |
option_a_audio_player,
|
|
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452 |
vote_submitted_state,
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453 |
],
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454 |
).then(
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455 |
+
fn=self._synthesize_speech,
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456 |
inputs=[character_description_input, text_input, generated_text_state],
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457 |
outputs=[
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458 |
option_a_audio_player,
|
|
|
481 |
inputs=[],
|
482 |
outputs=[vote_button_a, vote_button_b],
|
483 |
).then(
|
484 |
+
fn=self._vote,
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485 |
inputs=[
|
486 |
vote_submitted_state,
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487 |
option_map_state,
|
src/config.py
CHANGED
@@ -23,6 +23,7 @@ from dotenv import load_dotenv
|
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23 |
if TYPE_CHECKING:
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24 |
from src.integrations import AnthropicConfig, ElevenLabsConfig, HumeConfig
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25 |
|
|
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26 |
logger: logging.Logger = logging.getLogger("tts_arena")
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27 |
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28 |
|
|
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23 |
if TYPE_CHECKING:
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from src.integrations import AnthropicConfig, ElevenLabsConfig, HumeConfig
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25 |
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26 |
+
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logger: logging.Logger = logging.getLogger("tts_arena")
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28 |
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29 |
|
src/constants.py
CHANGED
@@ -13,6 +13,7 @@ from src.custom_types import ComparisonType, OptionKey, OptionLabel, TTSProvider
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CLIENT_ERROR_CODE = 400
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SERVER_ERROR_CODE = 500
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15 |
|
|
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# UI constants
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HUME_AI: TTSProviderName = "Hume AI"
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ELEVENLABS: TTSProviderName = "ElevenLabs"
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@@ -28,13 +29,15 @@ OPTION_A_KEY: OptionKey = "option_a"
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OPTION_B_KEY: OptionKey = "option_b"
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OPTION_A_LABEL: OptionLabel = "Option A"
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30 |
OPTION_B_LABEL: OptionLabel = "Option B"
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|
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31 |
TROPHY_EMOJI: str = "🏆"
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|
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SELECT_OPTION_A: str = "Select Option A"
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SELECT_OPTION_B: str = "Select Option B"
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34 |
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35 |
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36 |
# A collection of pre-defined character descriptions categorized by theme, used to provide users with
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37 |
-
# inspiration for generating creative text for
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SAMPLE_CHARACTER_DESCRIPTIONS: dict = {
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39 |
"🚀 Stranded Astronaut": (
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40 |
"A lone astronaut whose voice mirrors the silent vastness of space—a low, steady tone imbued "
|
|
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13 |
CLIENT_ERROR_CODE = 400
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14 |
SERVER_ERROR_CODE = 500
|
15 |
|
16 |
+
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17 |
# UI constants
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18 |
HUME_AI: TTSProviderName = "Hume AI"
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19 |
ELEVENLABS: TTSProviderName = "ElevenLabs"
|
|
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29 |
OPTION_B_KEY: OptionKey = "option_b"
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30 |
OPTION_A_LABEL: OptionLabel = "Option A"
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31 |
OPTION_B_LABEL: OptionLabel = "Option B"
|
32 |
+
|
33 |
TROPHY_EMOJI: str = "🏆"
|
34 |
+
|
35 |
SELECT_OPTION_A: str = "Select Option A"
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36 |
SELECT_OPTION_B: str = "Select Option B"
|
37 |
|
38 |
|
39 |
# A collection of pre-defined character descriptions categorized by theme, used to provide users with
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40 |
+
# inspiration for generating creative, expressive text inputs for TTS, and generating novel voices.
|
41 |
SAMPLE_CHARACTER_DESCRIPTIONS: dict = {
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42 |
"🚀 Stranded Astronaut": (
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43 |
"A lone astronaut whose voice mirrors the silent vastness of space—a low, steady tone imbued "
|
src/database/database.py
CHANGED
@@ -52,6 +52,7 @@ class DummySession:
|
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52 |
Base = declarative_base()
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53 |
engine: Optional[Engine] = None
|
54 |
|
|
|
55 |
DBSessionMaker = sessionmaker | Callable[[], DummySession]
|
56 |
|
57 |
|
|
|
52 |
Base = declarative_base()
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53 |
engine: Optional[Engine] = None
|
54 |
|
55 |
+
|
56 |
DBSessionMaker = sessionmaker | Callable[[], DummySession]
|
57 |
|
58 |
|
src/integrations/anthropic_api.py
CHANGED
@@ -69,6 +69,7 @@ where you are in the narrative.
|
|
69 |
Remember: A shorter, complete response is ALWAYS better than a longer, truncated one."""
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70 |
)
|
71 |
|
|
|
72 |
@dataclass(frozen=True)
|
73 |
class AnthropicConfig:
|
74 |
"""Immutable configuration for interacting with the Anthropic API."""
|
@@ -166,6 +167,7 @@ def generate_text_with_claude(character_description: str, config: Config) -> str
|
|
166 |
UnretryableAnthropicError: For errors that should not be retried.
|
167 |
AnthropicError: For other errors communicating with the Anthropic API.
|
168 |
"""
|
|
|
169 |
try:
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170 |
anthropic_config = config.anthropic_config
|
171 |
prompt = anthropic_config.build_expressive_prompt(character_description)
|
|
|
69 |
Remember: A shorter, complete response is ALWAYS better than a longer, truncated one."""
|
70 |
)
|
71 |
|
72 |
+
|
73 |
@dataclass(frozen=True)
|
74 |
class AnthropicConfig:
|
75 |
"""Immutable configuration for interacting with the Anthropic API."""
|
|
|
167 |
UnretryableAnthropicError: For errors that should not be retried.
|
168 |
AnthropicError: For other errors communicating with the Anthropic API.
|
169 |
"""
|
170 |
+
|
171 |
try:
|
172 |
anthropic_config = config.anthropic_config
|
173 |
prompt = anthropic_config.build_expressive_prompt(character_description)
|
src/integrations/elevenlabs_api.py
CHANGED
@@ -105,6 +105,7 @@ def text_to_speech_with_elevenlabs(
|
|
105 |
Raises:
|
106 |
ElevenLabsError: If there is an error communicating with the ElevenLabs API or processing the response.
|
107 |
"""
|
|
|
108 |
logger.debug(f"Synthesizing speech with ElevenLabs. Text length: {len(text)} characters.")
|
109 |
|
110 |
elevenlabs_config = config.elevenlabs_config
|
|
|
105 |
Raises:
|
106 |
ElevenLabsError: If there is an error communicating with the ElevenLabs API or processing the response.
|
107 |
"""
|
108 |
+
|
109 |
logger.debug(f"Synthesizing speech with ElevenLabs. Text length: {len(text)} characters.")
|
110 |
|
111 |
elevenlabs_config = config.elevenlabs_config
|
src/integrations/hume_api.py
CHANGED
@@ -128,6 +128,7 @@ def text_to_speech_with_hume(
|
|
128 |
Exception: Any other exceptions raised during the request or processing will be wrapped and
|
129 |
re-raised as HumeError.
|
130 |
"""
|
|
|
131 |
logger.debug(
|
132 |
f"Processing TTS with Hume. Prompt length: {len(character_description)} characters. "
|
133 |
f"Text length: {len(text)} characters."
|
@@ -161,13 +162,13 @@ def text_to_speech_with_hume(
|
|
161 |
|
162 |
# Extract the base64 encoded audio and generation ID from the generation.
|
163 |
generation_a = generations[0]
|
164 |
-
generation_a_id, audio_a_path =
|
165 |
|
166 |
if num_generations == 1:
|
167 |
return (generation_a_id, audio_a_path)
|
168 |
|
169 |
generation_b = generations[1]
|
170 |
-
generation_b_id, audio_b_path =
|
171 |
return (generation_a_id, audio_a_path, generation_b_id, audio_b_path)
|
172 |
|
173 |
except Exception as e:
|
@@ -187,7 +188,7 @@ def text_to_speech_with_hume(
|
|
187 |
) from e
|
188 |
|
189 |
|
190 |
-
def
|
191 |
"""
|
192 |
Parse a Hume TTS generation response and save the decoded audio as an MP3 file.
|
193 |
|
|
|
128 |
Exception: Any other exceptions raised during the request or processing will be wrapped and
|
129 |
re-raised as HumeError.
|
130 |
"""
|
131 |
+
|
132 |
logger.debug(
|
133 |
f"Processing TTS with Hume. Prompt length: {len(character_description)} characters. "
|
134 |
f"Text length: {len(text)} characters."
|
|
|
162 |
|
163 |
# Extract the base64 encoded audio and generation ID from the generation.
|
164 |
generation_a = generations[0]
|
165 |
+
generation_a_id, audio_a_path = _parse_hume_tts_generation(generation_a, config)
|
166 |
|
167 |
if num_generations == 1:
|
168 |
return (generation_a_id, audio_a_path)
|
169 |
|
170 |
generation_b = generations[1]
|
171 |
+
generation_b_id, audio_b_path = _parse_hume_tts_generation(generation_b, config)
|
172 |
return (generation_a_id, audio_a_path, generation_b_id, audio_b_path)
|
173 |
|
174 |
except Exception as e:
|
|
|
188 |
) from e
|
189 |
|
190 |
|
191 |
+
def _parse_hume_tts_generation(generation: Dict[str, Any], config: Config) -> Tuple[str, str]:
|
192 |
"""
|
193 |
Parse a Hume TTS generation response and save the decoded audio as an MP3 file.
|
194 |
|
src/main.py
CHANGED
@@ -4,9 +4,10 @@ main.py
|
|
4 |
This module is the entry point for the app. It loads configuration and starts the Gradio app.
|
5 |
"""
|
6 |
|
|
|
7 |
from src.app import App
|
8 |
from src.config import Config, logger
|
9 |
-
from src.database
|
10 |
|
11 |
if __name__ == "__main__":
|
12 |
config = Config.get()
|
|
|
4 |
This module is the entry point for the app. It loads configuration and starts the Gradio app.
|
5 |
"""
|
6 |
|
7 |
+
# Local Application Imports
|
8 |
from src.app import App
|
9 |
from src.config import Config, logger
|
10 |
+
from src.database import init_db
|
11 |
|
12 |
if __name__ == "__main__":
|
13 |
config = Config.get()
|
src/utils.py
CHANGED
@@ -100,7 +100,7 @@ def validate_character_description_length(character_description: str) -> None:
|
|
100 |
logger.debug(f"Character description length validation passed for character_description: {truncated_description}")
|
101 |
|
102 |
|
103 |
-
def
|
104 |
"""
|
105 |
Delete all files in the specified directory that are older than a given number of minutes.
|
106 |
|
@@ -154,15 +154,12 @@ def save_base64_audio_to_file(base64_audio: str, filename: str, config: Config)
|
|
154 |
Raises:
|
155 |
FileNotFoundError: If the audio file was not created.
|
156 |
"""
|
157 |
-
# Decode the base64-encoded audio into binary data.
|
158 |
-
audio_bytes = base64.b64decode(base64_audio)
|
159 |
|
160 |
-
|
161 |
file_path = Path(config.audio_dir) / filename
|
162 |
-
|
163 |
-
# Delete all audio files older than 30 minutes before writing the new audio file.
|
164 |
num_minutes = 30
|
165 |
-
|
|
|
166 |
|
167 |
# Write the binary audio data to the file.
|
168 |
with file_path.open("wb") as audio_file:
|
@@ -201,6 +198,7 @@ def choose_providers(
|
|
201 |
where the first is always "Hume AI" and the second is determined by the text_modified
|
202 |
flag and random selection.
|
203 |
"""
|
|
|
204 |
hume_comparison_only = text_modified or not character_description
|
205 |
|
206 |
provider_a = constants.HUME_AI
|
@@ -225,16 +223,11 @@ def create_shuffled_tts_options(option_a: Option, option_b: Option) -> OptionMap
|
|
225 |
OptionMap: A mapping of shuffled TTS options, where each option includes
|
226 |
its provider, audio file path, and generation ID.
|
227 |
"""
|
228 |
-
# Create a list of Option instances for the available providers.
|
229 |
-
options = [option_a, option_b]
|
230 |
|
231 |
-
|
232 |
random.shuffle(options)
|
233 |
-
|
234 |
-
# Unpack the two options.
|
235 |
shuffled_option_a, shuffled_option_b = options
|
236 |
|
237 |
-
# Build a mapping from option constants to the corresponding providers.
|
238 |
return {
|
239 |
"option_a": {
|
240 |
"provider": shuffled_option_a.provider,
|
@@ -264,6 +257,7 @@ def determine_selected_option(
|
|
264 |
- selected_option is the same as the selected_option.
|
265 |
- other_option is the alternative option.
|
266 |
"""
|
|
|
267 |
if selected_option_button == constants.SELECT_OPTION_A:
|
268 |
selected_option, other_option = constants.OPTION_A_KEY, constants.OPTION_B_KEY
|
269 |
elif selected_option_button == constants.SELECT_OPTION_B:
|
@@ -291,6 +285,7 @@ def _determine_comparison_type(provider_a: TTSProviderName, provider_b: TTSProvi
|
|
291 |
Raises:
|
292 |
ValueError: If the combination of providers is not recognized.
|
293 |
"""
|
|
|
294 |
if provider_a == constants.HUME_AI and provider_b == constants.HUME_AI:
|
295 |
return constants.HUME_TO_HUME
|
296 |
|
@@ -302,6 +297,7 @@ def _determine_comparison_type(provider_a: TTSProviderName, provider_b: TTSProvi
|
|
302 |
|
303 |
def _log_voting_results(voting_results: VotingResults) -> None:
|
304 |
"""Log the full voting results."""
|
|
|
305 |
logger.info("Voting results:\n%s", json.dumps(voting_results, indent=4))
|
306 |
|
307 |
|
@@ -321,6 +317,7 @@ def _handle_vote_failure(
|
|
321 |
In development with a dummy session:
|
322 |
- Only logs the voting results.
|
323 |
"""
|
|
|
324 |
if config.app_env == "prod" or (config.app_env == "dev" and not is_dummy_db_session):
|
325 |
logger.error("Failed to create vote record: %s", e, exc_info=(config.app_env == "prod"))
|
326 |
_log_voting_results(voting_results)
|
@@ -332,6 +329,23 @@ def _handle_vote_failure(
|
|
332 |
|
333 |
|
334 |
def _persist_vote(db_session_maker: DBSessionMaker, voting_results: VotingResults, config: Config) -> None:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
335 |
db = db_session_maker()
|
336 |
is_dummy_db_session = getattr(db, "is_dummy", False)
|
337 |
if is_dummy_db_session:
|
@@ -369,6 +383,7 @@ def submit_voting_results(
|
|
369 |
character_description (str): Description of the voice/character.
|
370 |
text (str): The text associated with the TTS generation.
|
371 |
"""
|
|
|
372 |
provider_a: TTSProviderName = option_map[constants.OPTION_A_KEY]["provider"]
|
373 |
provider_b: TTSProviderName = option_map[constants.OPTION_B_KEY]["provider"]
|
374 |
comparison_type: ComparisonType = _determine_comparison_type(provider_a, provider_b)
|
|
|
100 |
logger.debug(f"Character description length validation passed for character_description: {truncated_description}")
|
101 |
|
102 |
|
103 |
+
def _delete_files_older_than(directory: Path, minutes: int = 30) -> None:
|
104 |
"""
|
105 |
Delete all files in the specified directory that are older than a given number of minutes.
|
106 |
|
|
|
154 |
Raises:
|
155 |
FileNotFoundError: If the audio file was not created.
|
156 |
"""
|
|
|
|
|
157 |
|
158 |
+
audio_bytes = base64.b64decode(base64_audio)
|
159 |
file_path = Path(config.audio_dir) / filename
|
|
|
|
|
160 |
num_minutes = 30
|
161 |
+
|
162 |
+
_delete_files_older_than(config.audio_dir, num_minutes)
|
163 |
|
164 |
# Write the binary audio data to the file.
|
165 |
with file_path.open("wb") as audio_file:
|
|
|
198 |
where the first is always "Hume AI" and the second is determined by the text_modified
|
199 |
flag and random selection.
|
200 |
"""
|
201 |
+
|
202 |
hume_comparison_only = text_modified or not character_description
|
203 |
|
204 |
provider_a = constants.HUME_AI
|
|
|
223 |
OptionMap: A mapping of shuffled TTS options, where each option includes
|
224 |
its provider, audio file path, and generation ID.
|
225 |
"""
|
|
|
|
|
226 |
|
227 |
+
options = [option_a, option_b]
|
228 |
random.shuffle(options)
|
|
|
|
|
229 |
shuffled_option_a, shuffled_option_b = options
|
230 |
|
|
|
231 |
return {
|
232 |
"option_a": {
|
233 |
"provider": shuffled_option_a.provider,
|
|
|
257 |
- selected_option is the same as the selected_option.
|
258 |
- other_option is the alternative option.
|
259 |
"""
|
260 |
+
|
261 |
if selected_option_button == constants.SELECT_OPTION_A:
|
262 |
selected_option, other_option = constants.OPTION_A_KEY, constants.OPTION_B_KEY
|
263 |
elif selected_option_button == constants.SELECT_OPTION_B:
|
|
|
285 |
Raises:
|
286 |
ValueError: If the combination of providers is not recognized.
|
287 |
"""
|
288 |
+
|
289 |
if provider_a == constants.HUME_AI and provider_b == constants.HUME_AI:
|
290 |
return constants.HUME_TO_HUME
|
291 |
|
|
|
297 |
|
298 |
def _log_voting_results(voting_results: VotingResults) -> None:
|
299 |
"""Log the full voting results."""
|
300 |
+
|
301 |
logger.info("Voting results:\n%s", json.dumps(voting_results, indent=4))
|
302 |
|
303 |
|
|
|
317 |
In development with a dummy session:
|
318 |
- Only logs the voting results.
|
319 |
"""
|
320 |
+
|
321 |
if config.app_env == "prod" or (config.app_env == "dev" and not is_dummy_db_session):
|
322 |
logger.error("Failed to create vote record: %s", e, exc_info=(config.app_env == "prod"))
|
323 |
_log_voting_results(voting_results)
|
|
|
329 |
|
330 |
|
331 |
def _persist_vote(db_session_maker: DBSessionMaker, voting_results: VotingResults, config: Config) -> None:
|
332 |
+
"""
|
333 |
+
Persist a vote record in the database and handle potential failures.
|
334 |
+
|
335 |
+
This function obtains a database session using the provided session maker and attempts
|
336 |
+
to create a vote record using the specified voting results. If the session is identified
|
337 |
+
as a dummy session, it logs a success message and outputs the voting results. If an error
|
338 |
+
occurs during vote creation, the function delegates error handling to _handle_vote_failure.
|
339 |
+
On successful vote creation, it logs the success and, when running in a development environment,
|
340 |
+
logs the full voting results for debugging purposes. In all cases, the database session is
|
341 |
+
properly closed after the operation.
|
342 |
+
|
343 |
+
Args:
|
344 |
+
db_session_maker (DBSessionMaker): A callable that returns a new database session.
|
345 |
+
voting_results (VotingResults): A dictionary containing the details of the vote to persist.
|
346 |
+
config (Config): The application configuration, used to determine environment-specific behavior.
|
347 |
+
"""
|
348 |
+
|
349 |
db = db_session_maker()
|
350 |
is_dummy_db_session = getattr(db, "is_dummy", False)
|
351 |
if is_dummy_db_session:
|
|
|
383 |
character_description (str): Description of the voice/character.
|
384 |
text (str): The text associated with the TTS generation.
|
385 |
"""
|
386 |
+
|
387 |
provider_a: TTSProviderName = option_map[constants.OPTION_A_KEY]["provider"]
|
388 |
provider_b: TTSProviderName = option_map[constants.OPTION_B_KEY]["provider"]
|
389 |
comparison_type: ComparisonType = _determine_comparison_type(provider_a, provider_b)
|