Spaces:
Running
on
Zero
Running
on
Zero
add custom style
Browse files- app/canary_speech_engine.py +3 -3
- app/supported_languages.py +8 -0
- app/ui_utils.py +73 -11
- app/utils.py +11 -8
- assets/custom_style.css +48 -13
app/canary_speech_engine.py
CHANGED
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@@ -215,12 +215,12 @@ class CanarySpeechEngine(IStreamingSpeechEngine):
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"""Helper to calculate model-specific streaming parameters."""
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model_cfg = self.asr_model.cfg
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audio_sample_rate = model_cfg.preprocessor['sample_rate']
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feature_stride_sec = model_cfg.preprocessor['window_stride']
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features_per_sec = 1.0 / feature_stride_sec
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self.encoder_subsampling_factor = self.asr_model.encoder.subsampling_factor
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self.features_frame2audio_samples = make_divisible_by(
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int(audio_sample_rate * feature_stride_sec), factor=self.encoder_subsampling_factor
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)
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encoder_frame2audio_samples = self.features_frame2audio_samples * self.encoder_subsampling_factor
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"""Helper to calculate model-specific streaming parameters."""
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model_cfg = self.asr_model.cfg
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audio_sample_rate = model_cfg.preprocessor['sample_rate']
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self.feature_stride_sec = model_cfg.preprocessor['window_stride']
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features_per_sec = 1.0 / self.feature_stride_sec
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self.encoder_subsampling_factor = self.asr_model.encoder.subsampling_factor
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self.features_frame2audio_samples = make_divisible_by(
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int(audio_sample_rate * self.feature_stride_sec ), factor=self.encoder_subsampling_factor
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)
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encoder_frame2audio_samples = self.features_frame2audio_samples * self.encoder_subsampling_factor
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app/supported_languages.py
ADDED
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@@ -0,0 +1,8 @@
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SUPPORTED_LANGS_MAP = {
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"Bulgarian": "bg", "Croatian": "hr", "Czech": "cs", "Danish": "da",
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"Dutch": "nl", "English": "en", "Estonian": "et", "Finnish": "fi",
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"French": "fr", "German": "de", "Greek": "el", "Hungarian": "hu",
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"Italian": "it", "Latvian": "lv", "Lithuanian": "lt", "Maltese": "mt",
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"Polish": "pl", "Portuguese": "pt", "Romanian": "ro", "Slovak": "sk",
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"Slovenian": "sl", "Spanish": "es", "Swedish": "sv", "Russian": "ru", "Ukrainian": "uk"
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}
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app/ui_utils.py
CHANGED
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@@ -2,6 +2,24 @@ from app.logger_config import logger as logging
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import gradio as gr
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from pathlib import Path
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import os
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DEFAULT_CONFIG = {
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"task_type": "Transcription",
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"lang_source": "French",
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@@ -39,14 +57,6 @@ EXAMPLE_CONFIGS = {
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}
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}
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SUPPORTED_LANGS_MAP = {
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"Bulgarian": "bg", "Croatian": "hr", "Czech": "cs", "Danish": "da",
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"Dutch": "nl", "English": "en", "Estonian": "et", "Finnish": "fi",
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"French": "fr", "German": "de", "Greek": "el", "Hungarian": "hu",
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"Italian": "it", "Latvian": "lv", "Lithuanian": "lt", "Maltese": "mt",
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"Polish": "pl", "Portuguese": "pt", "Romanian": "ro", "Slovak": "sk",
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"Slovenian": "sl", "Spanish": "es", "Swedish": "sv", "Russian": "ru", "Ukrainian": "uk"
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}
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@@ -132,7 +142,7 @@ def handle_additional_outputs(webrtc_stream, msg):
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Controls button states, audio visibility, and progress slider.
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"""
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# logging.debug(f"Additional output received: {msg}")
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# ui_components = [start_stream_button, stop_stream_button,go_to_task, audio_source_step, status_slider,walkthrough]
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progress = float(0)
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# Handle structured error message
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@@ -144,10 +154,11 @@ def handle_additional_outputs(webrtc_stream, msg):
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return (
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gr.update(visible=True), # start_stream_button enabled
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gr.update(visible=False), # stop_stream_button disabled
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gr.update(visible=False), # go_to_task disabled
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gr.update(interactive=True), # audio_source_step re-shown
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gr.update(visible=False, value=0), # slider hidden
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gr.update(
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gr.update(value=f"**Error:** {value}", visible=True)
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)
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@@ -159,6 +170,7 @@ def handle_additional_outputs(webrtc_stream, msg):
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return (
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gr.update(visible=True), # start_stream_button disabled
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gr.update(visible=False), # stop_stream_button enabled
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gr.update(visible=True), # go_to_task enabled
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gr.update(interactive=True), # hide audio_source_step
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gr.update(visible=True, value=progress), # show progress
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@@ -169,6 +181,7 @@ def handle_additional_outputs(webrtc_stream, msg):
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return (
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gr.update(visible=False), # start_stream_button disabled
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gr.update(visible=True), # stop_stream_button enabled
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gr.update(visible=True), # go_to_task enabled
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gr.update(interactive=False), # hide audio_source_step
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gr.update(visible=True, value=progress), # show progress
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@@ -180,10 +193,11 @@ def handle_additional_outputs(webrtc_stream, msg):
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return (
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gr.update(visible=True), # start_stream_button disabled
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gr.update(visible=False), # stop_stream_button enabled
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gr.update(visible=False), # go_to_task enabled
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gr.update(interactive=True), # hide audio_source_step
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gr.update(visible=True, value=0), # show progress
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gr.update(
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gr.update(value="ℹStream stopped by user.", visible=True)
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)
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@@ -222,6 +236,54 @@ def get_custom_theme() :
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def raise_error(message="Une erreur est survenue."):
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raise gr.Error(message)
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import gradio as gr
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from pathlib import Path
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import os
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from app.utils import (
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remove_active_task_flag_file,
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task_fake,
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is_active_task
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# task
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)
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# from app.utils import (
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# raise_error,
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# READ_SIZE,
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# generate_coturn_config,
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# read_and_stream_audio,
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# stop_streaming,
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# task,
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# task_fake
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# )
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DEFAULT_CONFIG = {
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"task_type": "Transcription",
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"lang_source": "French",
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}
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}
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Controls button states, audio visibility, and progress slider.
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"""
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# logging.debug(f"Additional output received: {msg}")
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# ui_components = [start_stream_button, stop_stream_button,start_task_button,go_to_task, audio_source_step, status_slider,walkthrough]
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progress = float(0)
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# Handle structured error message
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return (
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gr.update(visible=True), # start_stream_button enabled
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gr.update(visible=False), # stop_stream_button disabled
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gr.update(visible=False), #start_task_button
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gr.update(visible=False), # go_to_task disabled
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gr.update(interactive=True), # audio_source_step re-shown
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gr.update(visible=False, value=0), # slider hidden
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gr.update(), #walkthrough
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gr.update(value=f"**Error:** {value}", visible=True)
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)
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return (
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gr.update(visible=True), # start_stream_button disabled
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gr.update(visible=False), # stop_stream_button enabled
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gr.update(visible=False), #start_task_button
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gr.update(visible=True), # go_to_task enabled
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gr.update(interactive=True), # hide audio_source_step
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gr.update(visible=True, value=progress), # show progress
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return (
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gr.update(visible=False), # start_stream_button disabled
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gr.update(visible=True), # stop_stream_button enabled
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gr.update() if is_active_task(msg.get("session_hash_code")) else gr.update(visible=True), #start_task_button
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gr.update(visible=True), # go_to_task enabled
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gr.update(interactive=False), # hide audio_source_step
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gr.update(visible=True, value=progress), # show progress
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return (
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gr.update(visible=True), # start_stream_button disabled
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gr.update(visible=False), # stop_stream_button enabled
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gr.update(visible=False), #start_task_button
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gr.update(visible=False), # go_to_task enabled
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gr.update(interactive=True), # hide audio_source_step
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gr.update(visible=True, value=0), # show progress
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gr.update(), #walkthrough
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gr.update(value="ℹStream stopped by user.", visible=True)
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)
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########## task
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def start_task_asr_ast(
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session_hash_code,
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task_type, lang_source, lang_target,
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chunk_secs, left_context_secs, right_context_secs,
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streaming_policy, alignatt_thr, waitk_lagging,
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exclude_sink_frames, xatt_scores_layer, hallucinations_detector
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):
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"""Stream transcription or translation results in real time."""
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accumulated = ""
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# Boucle sur le générateur de `task2()`
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# outputs=[task_output,status_message_task,start_task_button,stop_task_button,config_step]
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for result, status, current_chunk in task_fake(
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session_hash_code,
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task_type, lang_source, lang_target,
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chunk_secs, left_context_secs, right_context_secs,
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streaming_policy, alignatt_thr, waitk_lagging,
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exclude_sink_frames, xatt_scores_layer, hallucinations_detector
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):
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if status == "success":
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yield (accumulated + result, #task_output
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gr.update(visible=True,value=current_chunk,elem_classes=[status]),#status_message_task
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gr.update(visible=False),#start_task_button
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gr.update(visible=True), #stop_task_button
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gr.update(interactive=False) # config_step
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)
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accumulated += result
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elif status in ["warning","info" ]:
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yield (accumulated, #task_output
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gr.update(visible=True,value=result , elem_classes=[status]),#status_message_task
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gr.update(visible=False),#start_task_button
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gr.update(visible=True),#stop_task_button
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gr.update(interactive=False) # config_step
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)
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elif status in [ "done"]:
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yield (accumulated, #task_output
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gr.update(visible=True,value=result , elem_classes=[status]),#status_message_task
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gr.update(visible=True),#start_task_button
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gr.update(visible=False),#stop_task_button
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gr.update(interactive=True) # config_step
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)
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def stop_task_fn(session_hash_code):
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remove_active_task_flag_file(session_hash_code)
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yield "Task stopped by user."
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# # --------------------------------------------------------
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def raise_error(message="Une erreur est survenue."):
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raise gr.Error(message)
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app/utils.py
CHANGED
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@@ -21,7 +21,7 @@ from app.session_utils import (
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remove_active_task_flag_file,
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get_session_hashe_chunks_dir
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)
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from app.
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SUPPORTED_LANGS_MAP
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)
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from app.canary_speech_engine import CanarySpeechEngine,CanaryConfig
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@@ -94,12 +94,12 @@ def read_and_stream_audio(filepath_to_stream: str, session_hash_code: str,read_s
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frame_rate = chunk.frame_rate
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samples = np.array(chunk.get_array_of_samples()).reshape(1, -1)
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progress = round(((i + 1) / total_chunks) * 100, 2)
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if
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logging.info(f"[{session_hash_code}] Stop signal received. Terminating stream.")
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yield ((frame_rate, samples), AdditionalOutputs({"stoped": True, "value": "STREAM_STOPED"} ) )
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break
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yield ((frame_rate, samples), AdditionalOutputs({"progressed": True, "value": progress} ))
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logging.debug(f"[{session_hash_code}] Sent chunk {i+1}/{total_chunks} ({progress}%).")
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time.sleep(chunk_duration_ms/1000)
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@@ -130,8 +130,8 @@ def read_and_stream_audio(filepath_to_stream: str, session_hash_code: str,read_s
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asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/canary-1b-v2")
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-
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@spaces.GPU
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def task_fake(session_hash_code: str,
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@@ -354,7 +354,7 @@ def handle_stream_error(session_hash_code: str, error: Exception):
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remove_active_stream_flag_file(session_hash_code)
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yield ((16000,np.zeros(16000, dtype=np.float32).reshape(1, -1)), AdditionalOutputs({"errored": True, "value": msg}))
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@@ -386,10 +386,13 @@ def start_streaming(session_hash_code: str):
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with open(active_stream_flag, "w") as f:
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f.write("1")
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-
def
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"""Check if the stop signal was requested."""
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return not os.path.exists(get_active_stream_flag_file(session_hash_code))
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def raise_error():
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remove_active_task_flag_file,
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get_session_hashe_chunks_dir
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)
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from app.supported_languages import (
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SUPPORTED_LANGS_MAP
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)
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from app.canary_speech_engine import CanarySpeechEngine,CanaryConfig
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frame_rate = chunk.frame_rate
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samples = np.array(chunk.get_array_of_samples()).reshape(1, -1)
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progress = round(((i + 1) / total_chunks) * 100, 2)
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if is_stop_requested(session_hash_code):
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logging.info(f"[{session_hash_code}] Stop signal received. Terminating stream.")
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yield ((frame_rate, samples), AdditionalOutputs({"stoped": True, "value": "STREAM_STOPED", "session_hash_code" : session_hash_code } ) )
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break
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yield ((frame_rate, samples), AdditionalOutputs({"progressed": True, "value": progress , "session_hash_code" : session_hash_code} ))
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logging.debug(f"[{session_hash_code}] Sent chunk {i+1}/{total_chunks} ({progress}%).")
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time.sleep(chunk_duration_ms/1000)
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# asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/canary-1b-v2")
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asr_model = None
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@spaces.GPU
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def task_fake(session_hash_code: str,
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remove_active_stream_flag_file(session_hash_code)
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yield ((16000,np.zeros(16000, dtype=np.float32).reshape(1, -1)), AdditionalOutputs({"errored": True, "value": msg, "session_hash_code" : session_hash_code}))
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with open(active_stream_flag, "w") as f:
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f.write("1")
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def is_stop_requested(session_hash_code) -> bool:
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"""Check if the stop signal was requested."""
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return not os.path.exists(get_active_stream_flag_file(session_hash_code))
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|
| 393 |
+
def is_active_task(session_hash_code) -> bool:
|
| 394 |
+
"""Check if the stop signal was requested."""
|
| 395 |
+
return os.path.exists(get_active_task_flag_file(session_hash_code))
|
| 396 |
|
| 397 |
|
| 398 |
def raise_error():
|
assets/custom_style.css
CHANGED
|
@@ -179,20 +179,55 @@ body {
|
|
| 179 |
display: block; /* Le rend visible */
|
| 180 |
}
|
| 181 |
|
| 182 |
-
/*
|
| 183 |
-
|
| 184 |
-
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
|
| 188 |
-
|
| 189 |
-
|
| 190 |
-
|
| 191 |
-
#webcam-stream .gr-webRTC {
|
| 192 |
-
background-color: #e9ecef;
|
| 193 |
-
}
|
| 194 |
|
| 195 |
#task-output-box textarea {
|
| 196 |
font-size: 1.15em; /* 'Moyenne taille' - ajustez au besoin */
|
| 197 |
font-weight: bold; /* 'En gras' */
|
| 198 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 179 |
display: block; /* Le rend visible */
|
| 180 |
}
|
| 181 |
|
| 182 |
+
/* #live-stream {
|
| 183 |
+
position: relative;
|
| 184 |
+
display: flex;
|
| 185 |
+
min-height: 100px;
|
| 186 |
+
max-height: 128px;
|
| 187 |
+
justify-content: center;
|
| 188 |
+
align-items: center;
|
| 189 |
+
margin: 2rem 0;
|
| 190 |
+
} */
|
|
|
|
|
|
|
|
|
|
| 191 |
|
| 192 |
#task-output-box textarea {
|
| 193 |
font-size: 1.15em; /* 'Moyenne taille' - ajustez au besoin */
|
| 194 |
font-weight: bold; /* 'En gras' */
|
| 195 |
+
}
|
| 196 |
+
|
| 197 |
+
.gradio-webrtc-waveContainer {
|
| 198 |
+
background-color :white
|
| 199 |
+
|
| 200 |
+
}
|
| 201 |
+
|
| 202 |
+
/* --- 4. L'Icône Centrale (Style Bouton) --- */
|
| 203 |
+
.gradio-webrtc-icon-container {
|
| 204 |
+
position: relative;
|
| 205 |
+
width: 128px;
|
| 206 |
+
height: 128px;
|
| 207 |
+
display: flex;
|
| 208 |
+
justify-content: center;
|
| 209 |
+
align-items: center;
|
| 210 |
+
}
|
| 211 |
+
|
| 212 |
+
.gradio-webrtc-icon {
|
| 213 |
+
position: relative;
|
| 214 |
+
width: 64px;
|
| 215 |
+
height: 64px;
|
| 216 |
+
border-radius: 0.5rem; /* Carré arrondi comme les boutons de l'exemple */
|
| 217 |
+
display: flex;
|
| 218 |
+
justify-content: center;
|
| 219 |
+
align-items: center;
|
| 220 |
+
z-index: 2;
|
| 221 |
+
|
| 222 |
+
/* Style Bouton Plein (Solid) */
|
| 223 |
+
background-color: var(--color-accent);
|
| 224 |
+
color: white;
|
| 225 |
+
box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06);
|
| 226 |
+
transition: all 0.2s ease;
|
| 227 |
+
}
|
| 228 |
+
|
| 229 |
+
/* Effet Hover */
|
| 230 |
+
.gradio-webrtc-icon:hover {
|
| 231 |
+
opacity: 0.9;
|
| 232 |
+
transform: translateY(-1px);
|
| 233 |
+
}
|