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align to PEP8
Browse files
app.py
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#
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import base64
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import io
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import json
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@@ -9,51 +9,85 @@ import time
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from os import getenv
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from typing import Any, Optional, Union
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#
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import streamlit as st
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from audiorecorder import audiorecorder
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from openai import OpenAI
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from pydub import AudioSegment
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def
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try:
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with open(
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return json.load(
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except FileNotFoundError:
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print(
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return {}
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except json.JSONDecodeError:
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print(
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"
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))
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return {}
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except Exception as e:
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print(
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return {}
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#
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return traductions[st.session_state.interface_language][key]
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client = OpenAI(api_key=getenv("OPENAI_API_KEY"))
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# Fonction pour lire et retourner le contenu de fichiers textes
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def read_file(file_name):
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try:
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with open(file_name, 'r', encoding='utf-8') as file:
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content = file.read()
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return content
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except FileNotFoundError:
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return
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except Exception as e:
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return
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# Fonction pour diviser un fichier audio en segments de 25 Mo ou moins
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def split_audio(audio_file, max_size_mb=25):
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audio = AudioSegment.from_wav(audio_file)
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duration_ms = len(audio)
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segment_duration_ms = int(
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# Fonction modifiée pour transcrire l'audio en texte
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def transcribe_audio(audio_file, language=None):
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max_size_mb = 25
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file_size_mb = os.path.getsize(audio_file.name) / (1024 * 1024)
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language=language
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)
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full_transcript += transcript.text + " "
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os.unlink(segment) #
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return full_transcript.strip()
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else:
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with open(audio_file.name, "rb") as audio_file:
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return transcript.text
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# Fonction pour détecter la langue d'un texte donné
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def
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system_prompt = "".join([
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"
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"
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"
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"
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"
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"
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"La langue de l'audio d'entrée. Fournir la langue d'entrée au format ",
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"ISO-639-1 améliorera la précision et la latence."
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])
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response = client.chat.completions.create(
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model="gpt-4o-mini",
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return response.choices[0].message.content
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def get_duration_pydub(audio_file):
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audio = AudioSegment.from_file(audio_file)
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return audio.duration_seconds
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# Fonction pour convertir du texte en parole
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def text_to_speech(text):
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response = client.audio.speech.create(
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model="tts-1",
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voice=st.session_state.tts_voice,
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input=text
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)
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#
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
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response.stream_to_file(temp_audio.name)
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#
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with open(temp_audio.name, "rb") as audio_file:
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audio_bytes = audio_file.read()
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audio_duration = get_duration_pydub(temp_audio.name)
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return audio_bytes, audio_duration
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def concatenate_audio_files(audio_list):
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final_audio = AudioSegment.empty()
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#
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begin_sound = AudioSegment.from_mp3(
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"sound-effects/voice-message-play-begin/voice-message-play-begin-1.mp3"
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)
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"sound-effects/voice-message-play-ending/voice-message-play-ending-1.mp3"
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)
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#
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silence = AudioSegment.silent(duration=5000) # 5000 ms = 5
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for audio_bytes, _ in audio_list:
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segment = AudioSegment.from_mp3(io.BytesIO(audio_bytes))
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final_audio += begin_sound + segment + end_sound + silence
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buffer = io.BytesIO()
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final_audio.export(buffer, format="mp3")
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return buffer.getvalue()
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# Fonction pour traiter les messages de l'utilisateur et générer une réponse
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def process_message(message, operation_prompt="", tts_enabled=False):
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payload_content = f'{operation_prompt} :\n"""\n{message}\n"""'
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st.session_state.messages.append({"role": "user", "content": payload_content})
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temperature=0.1):
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full_response += (response.choices[0].delta.content or "")
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message_placeholder.markdown(full_response + "▌")
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#
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# doubles quotes
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full_response = re.sub(r'^"{3}|"{3}$', '', full_response.strip())
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message_placeholder.markdown(full_response)
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return tts_audio, tts_duration
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return None, None
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# Classe pour stocker les prompts système globaux
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class GlobalSystemPrompts:
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def linguascribe():
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system_prompt = f"{read_file('linguascribe.prompt')}"
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return system_prompt
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system_prompt = ""
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global system_prompt
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global
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system_prompt = GlobalSystemPrompts.linguascribe()
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#
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SUPPORTED_LANGUAGES = [
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"Afrikaans", "Arabic", "Armenian", "Azerbaijani", "Belarusian", "Bosnian",
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"Bulgarian", "Catalan", "Chinese", "Croatian", "Czech", "Danish", "Dutch",
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"Turkish", "Ukrainian", "Urdu", "Vietnamese", "Welsh"
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]
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# Fonction pour convertir le nom d'une langue en code ISO 639-1
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def convert_language_name_to_iso6391(language_data):
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language_to_iso = {
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"Afrikaans": "af", "Arabic": "ar", "Armenian": "hy", "Azerbaijani": "az",
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"Belarusian": "be", "Bosnian": "bs", "Bulgarian": "bg", "Catalan": "ca",
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"Welsh": "cy"
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}
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#
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if isinstance(language_data, dict):
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language_name = language_data.get('language')
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else:
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language_name = language_data
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return language_to_iso.get(language_name, "en") #
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#
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def main():
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st.title("------- DEMORRHA -------")
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#
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if "language_detected" not in st.session_state:
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st.session_state["language_detected"] = None
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st.session_state["enable_tts_for_input_from_audio_record"] = True
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if "interface_language" not in st.session_state:
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st.session_state.interface_language = "French" #
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def init_process_mode():
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if "translation" == st.session_state["process_mode"]:
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-
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from_lang=st.session_state.language_detected,
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dest_lang=st.session_state.target_language
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)
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init_process_mode()
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#
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if "messages" not in st.session_state:
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st.session_state.messages = []
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#
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if not any(message["role"] == "system" for message in st.session_state.messages):
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st.session_state.messages.insert(0, {"role": "system", "content": system_prompt})
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#
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if user_input := st.chat_input(
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#
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if
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st.session_state.language_detected =
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input_text=user_input, temperature=0.01
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)
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for cursor_selected_lang in st.session_state.selected_languages:
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st.session_state.target_language = cursor_selected_lang["iso-639-1"]
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#
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init_process_mode()
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tts_audio, tts_duration = process_message(
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user_input,
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operation_prompt=f"{
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tts_enabled=st.session_state.enable_tts_for_input_from_text_field
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)
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if tts_audio is not None:
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st.audio(final_audio, format="audio/mp3", autoplay=True)
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with st.container(border=True):
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#
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st.write(
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audio = audiorecorder(
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start_prompt=
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stop_prompt=
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pause_prompt=
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show_visualizer=True,
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key="vocal_chat_input"
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)
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#
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if len(audio) > 0:
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with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_audio:
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audio.export(temp_audio.name, format="wav")
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transcription = transcribe_audio(temp_audio, language=st.session_state.language_detected)
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os.unlink(temp_audio.name) #
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if
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st.session_state.language_detected =
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input_text=transcription, temperature=0.01
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)
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st.write(
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st.write(
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audio_list = []
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for cursor_selected_lang in st.session_state.selected_languages:
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st.session_state.target_language = cursor_selected_lang["iso-639-1"]
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#
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init_process_mode()
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#
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tts_audio, tts_duration = process_message(
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transcription,
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operation_prompt=f"{
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tts_enabled=st.session_state.enable_tts_for_input_from_audio_record
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)
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if tts_audio is not None:
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final_audio = concatenate_audio_files(audio_list)
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st.audio(final_audio, format="audio/mp3", autoplay=True)
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#
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with st.sidebar:
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st.header(
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st.markdown("## " +
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st.info(
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# Fonction de rappel pour le changement de(s) langue(s) de destination selectionnée(s)
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def on_languages_change():
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selected_language_names = st.session_state.language_selector
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st.session_state.selected_languages = [
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{"language": lang, "iso-639-1": convert_language_name_to_iso6391(lang)}
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]
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with st.container(border=True):
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st.subheader(
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#
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st.selectbox(
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label=
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options=list(
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key="interface_language",
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index=(
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list(
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if "interface_language" not in st.session_state
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else list(
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)
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)
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with st.container(border=True):
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#
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st.subheader(
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st.multiselect(
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label=
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placeholder=
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options=SUPPORTED_LANGUAGES,
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default=["English"],
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key="language_selector",
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)
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with st.container(border=True):
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st.subheader(
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st.selectbox(
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options=["alloy", "echo", "fable", "onyx", "nova", "shimmer"],
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index=3, # "onyx"
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key="tts_voice"
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)
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st.checkbox(
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key="enable_tts_for_input_from_text_field"
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)
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st.checkbox(
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key="enable_tts_for_input_from_audio_record"
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)
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-
#
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if __name__ == "__main__":
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main()
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+
# Standard libraries
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import base64
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import io
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import json
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from os import getenv
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from typing import Any, Optional, Union
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+
# Third-party libraries
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import streamlit as st
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from audiorecorder import audiorecorder
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from openai import OpenAI
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from pydub import AudioSegment
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def load_ui_language(file_path: Optional[str] = "ui_lang_support.json") -> dict:
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"""
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Load UI language translations from a JSON file.
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Args:
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file_path (Optional[str]): Path to the JSON file containing translations.
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Returns:
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dict: A dictionary containing UI language translations.
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"""
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try:
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| 29 |
+
with open(file_path, 'r', encoding='utf-8') as file:
|
| 30 |
+
return json.load(file)
|
| 31 |
except FileNotFoundError:
|
| 32 |
+
print(get_translation("erreur_fichier_non_trouve").format(file_path))
|
| 33 |
return {}
|
| 34 |
except json.JSONDecodeError:
|
| 35 |
+
print(get_translation("erreur_lecture_fichier").format(
|
| 36 |
+
"JSON decoding error"
|
| 37 |
))
|
| 38 |
return {}
|
| 39 |
except Exception as e:
|
| 40 |
+
print(get_translation("erreur_lecture_fichier").format(str(e)))
|
| 41 |
return {}
|
| 42 |
|
| 43 |
+
# Dictionary to store translations
|
| 44 |
+
translations = load_ui_language()
|
| 45 |
+
|
| 46 |
+
def get_translation(key):
|
| 47 |
+
"""
|
| 48 |
+
Get translation for a given key based on the selected interface language.
|
| 49 |
|
| 50 |
+
Args:
|
| 51 |
+
key (str): The translation key.
|
|
|
|
| 52 |
|
| 53 |
+
Returns:
|
| 54 |
+
str: The translated text.
|
| 55 |
+
"""
|
| 56 |
+
return translations[st.session_state.interface_language][key]
|
| 57 |
+
|
| 58 |
+
# OpenAI client configuration with API key
|
| 59 |
client = OpenAI(api_key=getenv("OPENAI_API_KEY"))
|
| 60 |
|
|
|
|
| 61 |
def read_file(file_name):
|
| 62 |
+
"""
|
| 63 |
+
Read and return the content of text files.
|
| 64 |
+
|
| 65 |
+
Args:
|
| 66 |
+
file_name (str): The name of the file to read.
|
| 67 |
+
|
| 68 |
+
Returns:
|
| 69 |
+
str: The content of the file or an error message.
|
| 70 |
+
"""
|
| 71 |
try:
|
| 72 |
with open(file_name, 'r', encoding='utf-8') as file:
|
| 73 |
content = file.read()
|
| 74 |
return content
|
| 75 |
except FileNotFoundError:
|
| 76 |
+
return get_translation("erreur_fichier_non_trouve").format(file_name)
|
| 77 |
except Exception as e:
|
| 78 |
+
return get_translation("erreur_lecture_fichier").format(str(e))
|
| 79 |
|
|
|
|
| 80 |
def split_audio(audio_file, max_size_mb=25):
|
| 81 |
+
"""
|
| 82 |
+
Split an audio file into segments of 25 MB or less.
|
| 83 |
+
|
| 84 |
+
Args:
|
| 85 |
+
audio_file (str): Path to the audio file.
|
| 86 |
+
max_size_mb (int): Maximum size of each segment in MB.
|
| 87 |
+
|
| 88 |
+
Returns:
|
| 89 |
+
list: List of paths to the split audio segments.
|
| 90 |
+
"""
|
| 91 |
audio = AudioSegment.from_wav(audio_file)
|
| 92 |
duration_ms = len(audio)
|
| 93 |
segment_duration_ms = int(
|
|
|
|
| 107 |
|
| 108 |
# Fonction modifiée pour transcrire l'audio en texte
|
| 109 |
def transcribe_audio(audio_file, language=None):
|
| 110 |
+
"""
|
| 111 |
+
Transcribe audio file to text.
|
| 112 |
+
|
| 113 |
+
Args:
|
| 114 |
+
audio_file (file): The audio file to transcribe.
|
| 115 |
+
language (str, optional): The language of the audio. Defaults to None.
|
| 116 |
+
|
| 117 |
+
Returns:
|
| 118 |
+
str: The transcribed text.
|
| 119 |
+
"""
|
| 120 |
max_size_mb = 25
|
| 121 |
file_size_mb = os.path.getsize(audio_file.name) / (1024 * 1024)
|
| 122 |
|
|
|
|
| 131 |
language=language
|
| 132 |
)
|
| 133 |
full_transcript += transcript.text + " "
|
| 134 |
+
os.unlink(segment) # Delete temporary file
|
| 135 |
return full_transcript.strip()
|
| 136 |
else:
|
| 137 |
with open(audio_file.name, "rb") as audio_file:
|
|
|
|
| 143 |
return transcript.text
|
| 144 |
|
| 145 |
# Fonction pour détecter la langue d'un texte donné
|
| 146 |
+
def detect_language(input_text, temperature=0.01):
|
| 147 |
+
"""
|
| 148 |
+
Detect the language of a given text.
|
| 149 |
+
|
| 150 |
+
Args:
|
| 151 |
+
input_text (str): The text to detect the language from.
|
| 152 |
+
temperature (float, optional): The temperature for the language model. Defaults to 0.01.
|
| 153 |
+
|
| 154 |
+
Returns:
|
| 155 |
+
str: The detected language in ISO-639-1 format.
|
| 156 |
+
"""
|
| 157 |
system_prompt = "".join([
|
| 158 |
+
"Act as a language detection function. ",
|
| 159 |
+
"I will provide text in any language, and you will detect its language. ",
|
| 160 |
+
"Provide the result of your detection in ISO-639-1 format. ",
|
| 161 |
+
"Your response should represent the `language` argument and contain ",
|
| 162 |
+
"only its string value. ",
|
| 163 |
+
"Providing the input language in ISO-639-1 format will improve accuracy and latency."
|
|
|
|
|
|
|
| 164 |
])
|
| 165 |
response = client.chat.completions.create(
|
| 166 |
model="gpt-4o-mini",
|
|
|
|
| 179 |
return response.choices[0].message.content
|
| 180 |
|
| 181 |
def get_duration_pydub(audio_file):
|
| 182 |
+
"""
|
| 183 |
+
Get the duration of an audio file using pydub.
|
| 184 |
+
|
| 185 |
+
Args:
|
| 186 |
+
audio_file (str): Path to the audio file.
|
| 187 |
+
|
| 188 |
+
Returns:
|
| 189 |
+
float: Duration of the audio file in seconds.
|
| 190 |
+
"""
|
| 191 |
audio = AudioSegment.from_file(audio_file)
|
| 192 |
return audio.duration_seconds
|
| 193 |
|
|
|
|
| 194 |
def text_to_speech(text):
|
| 195 |
+
"""
|
| 196 |
+
Convert text to speech using the OpenAI API.
|
| 197 |
+
|
| 198 |
+
Args:
|
| 199 |
+
text (str): The text to convert to speech.
|
| 200 |
+
|
| 201 |
+
Returns:
|
| 202 |
+
tuple: A tuple containing the audio bytes and the duration of the audio in seconds.
|
| 203 |
+
"""
|
| 204 |
response = client.audio.speech.create(
|
| 205 |
model="tts-1",
|
| 206 |
voice=st.session_state.tts_voice,
|
| 207 |
input=text
|
| 208 |
)
|
| 209 |
|
| 210 |
+
# Save the audio to a temporary file
|
| 211 |
with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
|
| 212 |
response.stream_to_file(temp_audio.name)
|
| 213 |
|
| 214 |
+
# Read the content of the audio file
|
| 215 |
with open(temp_audio.name, "rb") as audio_file:
|
| 216 |
audio_bytes = audio_file.read()
|
| 217 |
|
| 218 |
+
# Get the duration of the audio in seconds
|
| 219 |
audio_duration = get_duration_pydub(temp_audio.name)
|
| 220 |
|
| 221 |
return audio_bytes, audio_duration
|
| 222 |
|
| 223 |
def concatenate_audio_files(audio_list):
|
| 224 |
+
"""
|
| 225 |
+
Concatenate multiple audio files with sound effects.
|
| 226 |
+
|
| 227 |
+
Args:
|
| 228 |
+
audio_list (list): A list of tuples, each containing audio bytes and duration.
|
| 229 |
+
|
| 230 |
+
Returns:
|
| 231 |
+
bytes: The concatenated audio as bytes.
|
| 232 |
+
"""
|
| 233 |
+
# Create an empty audio segment
|
| 234 |
final_audio = AudioSegment.empty()
|
| 235 |
|
| 236 |
+
# Load sound effects
|
| 237 |
begin_sound = AudioSegment.from_mp3(
|
| 238 |
"sound-effects/voice-message-play-begin/voice-message-play-begin-1.mp3"
|
| 239 |
)
|
|
|
|
| 241 |
"sound-effects/voice-message-play-ending/voice-message-play-ending-1.mp3"
|
| 242 |
)
|
| 243 |
|
| 244 |
+
# 5 seconds of silence
|
| 245 |
+
silence = AudioSegment.silent(duration=5000) # 5000 ms = 5 seconds
|
| 246 |
|
| 247 |
for audio_bytes, _ in audio_list:
|
| 248 |
+
# Convert bytes to an audio segment
|
| 249 |
segment = AudioSegment.from_mp3(io.BytesIO(audio_bytes))
|
| 250 |
|
| 251 |
+
# Add the start sound, TTS segment, end sound, and silence
|
| 252 |
final_audio += begin_sound + segment + end_sound + silence
|
| 253 |
|
| 254 |
+
# Convert the final audio segment to bytes
|
| 255 |
buffer = io.BytesIO()
|
| 256 |
final_audio.export(buffer, format="mp3")
|
| 257 |
return buffer.getvalue()
|
| 258 |
|
|
|
|
| 259 |
def process_message(message, operation_prompt="", tts_enabled=False):
|
| 260 |
+
"""
|
| 261 |
+
Process user messages and generate a response.
|
| 262 |
+
|
| 263 |
+
Args:
|
| 264 |
+
message (str): The user's input message.
|
| 265 |
+
operation_prompt (str, optional): Additional prompt for operation. Defaults to "".
|
| 266 |
+
tts_enabled (bool, optional): Whether text-to-speech is enabled. Defaults to False.
|
| 267 |
+
|
| 268 |
+
Returns:
|
| 269 |
+
tuple: A tuple containing the TTS audio and its duration, or (None, None) if TTS is disabled.
|
| 270 |
+
"""
|
| 271 |
payload_content = f'{operation_prompt} :\n"""\n{message}\n"""'
|
| 272 |
|
| 273 |
st.session_state.messages.append({"role": "user", "content": payload_content})
|
|
|
|
| 284 |
temperature=0.1):
|
| 285 |
full_response += (response.choices[0].delta.content or "")
|
| 286 |
message_placeholder.markdown(full_response + "▌")
|
| 287 |
+
# Use regex to remove the first and last three double quotes
|
|
|
|
| 288 |
full_response = re.sub(r'^"{3}|"{3}$', '', full_response.strip())
|
| 289 |
message_placeholder.markdown(full_response)
|
| 290 |
|
|
|
|
| 297 |
return tts_audio, tts_duration
|
| 298 |
return None, None
|
| 299 |
|
|
|
|
| 300 |
class GlobalSystemPrompts:
|
| 301 |
+
"""Class to store global system prompts."""
|
| 302 |
+
|
| 303 |
+
@staticmethod
|
| 304 |
def linguascribe():
|
| 305 |
+
"""
|
| 306 |
+
Retrieve the system prompt for the Linguascribe feature.
|
| 307 |
+
|
| 308 |
+
Returns:
|
| 309 |
+
str: The system prompt for Linguascribe.
|
| 310 |
+
"""
|
| 311 |
system_prompt = f"{read_file('linguascribe.prompt')}"
|
| 312 |
return system_prompt
|
| 313 |
|
| 314 |
|
| 315 |
+
# Global variables for prompts
|
| 316 |
system_prompt = ""
|
| 317 |
+
operation_prompt = ""
|
| 318 |
|
| 319 |
+
# Function to configure the translation mode
|
| 320 |
+
def set_translation_mode(from_lang, dest_lang):
|
| 321 |
+
"""
|
| 322 |
+
Set the global prompts for translation mode.
|
| 323 |
|
| 324 |
+
Args:
|
| 325 |
+
from_lang (str): The source language.
|
| 326 |
+
dest_lang (str): The destination language.
|
| 327 |
+
"""
|
| 328 |
global system_prompt
|
| 329 |
+
global operation_prompt
|
| 330 |
system_prompt = GlobalSystemPrompts.linguascribe()
|
| 331 |
+
operation_prompt = f"Translate({from_lang} to {dest_lang})"
|
| 332 |
|
| 333 |
|
| 334 |
+
# List of languages supported by the application
|
| 335 |
SUPPORTED_LANGUAGES = [
|
| 336 |
"Afrikaans", "Arabic", "Armenian", "Azerbaijani", "Belarusian", "Bosnian",
|
| 337 |
"Bulgarian", "Catalan", "Chinese", "Croatian", "Czech", "Danish", "Dutch",
|
|
|
|
| 344 |
"Turkish", "Ukrainian", "Urdu", "Vietnamese", "Welsh"
|
| 345 |
]
|
| 346 |
|
|
|
|
| 347 |
def convert_language_name_to_iso6391(language_data):
|
| 348 |
+
"""
|
| 349 |
+
Convert a language name to its ISO 639-1 code.
|
| 350 |
+
|
| 351 |
+
Args:
|
| 352 |
+
language_data (Union[str, dict]): The language name or a dictionary containing the language name.
|
| 353 |
+
|
| 354 |
+
Returns:
|
| 355 |
+
str: The ISO 639-1 code for the given language, or 'en' if not found.
|
| 356 |
+
"""
|
| 357 |
+
# Dictionary mapping language names to ISO 639-1 codes
|
| 358 |
language_to_iso = {
|
| 359 |
"Afrikaans": "af", "Arabic": "ar", "Armenian": "hy", "Azerbaijani": "az",
|
| 360 |
"Belarusian": "be", "Bosnian": "bs", "Bulgarian": "bg", "Catalan": "ca",
|
|
|
|
| 373 |
"Welsh": "cy"
|
| 374 |
}
|
| 375 |
|
| 376 |
+
# Check if language_data is a dictionary
|
| 377 |
if isinstance(language_data, dict):
|
| 378 |
language_name = language_data.get('language')
|
| 379 |
else:
|
| 380 |
language_name = language_data
|
| 381 |
|
| 382 |
+
# Return the ISO 639-1 code corresponding to the language name
|
| 383 |
+
return language_to_iso.get(language_name, "en") # Default to 'en' if the language is not found
|
| 384 |
|
| 385 |
+
# Main function of the application
|
| 386 |
def main():
|
| 387 |
+
"""Main function that sets up and runs the Streamlit application."""
|
| 388 |
st.title("------- DEMORRHA -------")
|
| 389 |
|
| 390 |
+
# Initialize session state variables
|
| 391 |
if "language_detected" not in st.session_state:
|
| 392 |
st.session_state["language_detected"] = None
|
| 393 |
|
|
|
|
| 409 |
st.session_state["enable_tts_for_input_from_audio_record"] = True
|
| 410 |
|
| 411 |
if "interface_language" not in st.session_state:
|
| 412 |
+
st.session_state.interface_language = "French" # Default language
|
| 413 |
|
| 414 |
def init_process_mode():
|
| 415 |
+
"""Initialize the process mode for translation if necessary."""
|
| 416 |
if "translation" == st.session_state["process_mode"]:
|
| 417 |
+
set_translation_mode(
|
| 418 |
from_lang=st.session_state.language_detected,
|
| 419 |
dest_lang=st.session_state.target_language
|
| 420 |
)
|
| 421 |
|
| 422 |
init_process_mode()
|
| 423 |
|
| 424 |
+
# Initialize message history with system prompt
|
| 425 |
if "messages" not in st.session_state:
|
| 426 |
st.session_state.messages = []
|
| 427 |
|
| 428 |
+
# Check if a system message already exists in st.session_state.messages
|
| 429 |
if not any(message["role"] == "system" for message in st.session_state.messages):
|
| 430 |
st.session_state.messages.insert(0, {"role": "system", "content": system_prompt})
|
| 431 |
|
| 432 |
+
# User interface for text chat
|
| 433 |
+
if user_input := st.chat_input(get_translation("entrez_message")):
|
| 434 |
+
# Process user's text message
|
| 435 |
+
if st.session_state.language_detected is None:
|
| 436 |
+
st.session_state.language_detected = detect_language(
|
| 437 |
input_text=user_input, temperature=0.01
|
| 438 |
)
|
| 439 |
|
|
|
|
| 441 |
for cursor_selected_lang in st.session_state.selected_languages:
|
| 442 |
st.session_state.target_language = cursor_selected_lang["iso-639-1"]
|
| 443 |
|
| 444 |
+
# Initialize processing mode for current target language
|
| 445 |
init_process_mode()
|
| 446 |
|
| 447 |
+
# Process user message for current target language
|
| 448 |
tts_audio, tts_duration = process_message(
|
| 449 |
user_input,
|
| 450 |
+
operation_prompt=f"{operation_prompt}",
|
| 451 |
tts_enabled=st.session_state.enable_tts_for_input_from_text_field
|
| 452 |
)
|
| 453 |
if tts_audio is not None:
|
|
|
|
| 458 |
st.audio(final_audio, format="audio/mp3", autoplay=True)
|
| 459 |
|
| 460 |
with st.container(border=True):
|
| 461 |
+
# User interface for audio recording
|
| 462 |
+
st.write(get_translation("enregistrez_message"))
|
| 463 |
audio = audiorecorder(
|
| 464 |
+
start_prompt=get_translation("cliquez_enregistrer"),
|
| 465 |
+
stop_prompt=get_translation("cliquez_arreter"),
|
| 466 |
+
pause_prompt=get_translation("cliquez_pause"),
|
| 467 |
show_visualizer=True,
|
| 468 |
key="vocal_chat_input"
|
| 469 |
)
|
| 470 |
|
| 471 |
+
# Process user's audio input
|
| 472 |
if len(audio) > 0:
|
| 473 |
with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_audio:
|
| 474 |
audio.export(temp_audio.name, format="wav")
|
| 475 |
transcription = transcribe_audio(temp_audio, language=st.session_state.language_detected)
|
| 476 |
+
os.unlink(temp_audio.name) # Delete temporary file
|
| 477 |
+
if st.session_state.language_detected is None:
|
| 478 |
+
st.session_state.language_detected = detect_language(
|
| 479 |
input_text=transcription, temperature=0.01
|
| 480 |
)
|
| 481 |
+
st.write(get_translation("langue_detectee").format(st.session_state.language_detected))
|
| 482 |
|
| 483 |
+
st.write(get_translation("transcription").format(transcription))
|
| 484 |
|
| 485 |
audio_list = []
|
| 486 |
for cursor_selected_lang in st.session_state.selected_languages:
|
| 487 |
st.session_state.target_language = cursor_selected_lang["iso-639-1"]
|
| 488 |
|
| 489 |
+
# Initialize processing mode for current target language
|
| 490 |
init_process_mode()
|
| 491 |
|
| 492 |
+
# Process user message for current target language
|
| 493 |
tts_audio, tts_duration = process_message(
|
| 494 |
transcription,
|
| 495 |
+
operation_prompt=f"{operation_prompt}",
|
| 496 |
tts_enabled=st.session_state.enable_tts_for_input_from_audio_record
|
| 497 |
)
|
| 498 |
if tts_audio is not None:
|
|
|
|
| 501 |
final_audio = concatenate_audio_files(audio_list)
|
| 502 |
st.audio(final_audio, format="audio/mp3", autoplay=True)
|
| 503 |
|
| 504 |
+
# Sidebar configuration
|
| 505 |
with st.sidebar:
|
| 506 |
+
st.header(get_translation("sidebar_titre"))
|
| 507 |
+
st.markdown("## " + get_translation("a_propos"))
|
| 508 |
+
st.info(get_translation("info_app"))
|
| 509 |
|
|
|
|
| 510 |
def on_languages_change():
|
| 511 |
+
"""Callback function for destination language(s) change."""
|
| 512 |
selected_language_names = st.session_state.language_selector
|
| 513 |
st.session_state.selected_languages = [
|
| 514 |
{"language": lang, "iso-639-1": convert_language_name_to_iso6391(lang)}
|
|
|
|
| 516 |
]
|
| 517 |
|
| 518 |
with st.container(border=True):
|
| 519 |
+
st.subheader(get_translation("langue_interface"))
|
| 520 |
+
# Interface language selection
|
| 521 |
st.selectbox(
|
| 522 |
+
label=get_translation("choix_langue_interface"),
|
| 523 |
+
options=list(translations.keys()),
|
| 524 |
key="interface_language",
|
| 525 |
index=(
|
| 526 |
+
list(translations.keys()).index("French")
|
| 527 |
if "interface_language" not in st.session_state
|
| 528 |
+
else list(translations.keys()).index(st.session_state.interface_language)
|
| 529 |
)
|
| 530 |
)
|
| 531 |
|
| 532 |
with st.container(border=True):
|
| 533 |
+
# Container for language selection
|
| 534 |
+
st.subheader(get_translation("selection_langue"))
|
| 535 |
|
| 536 |
+
# Multiple selection of destination languages
|
| 537 |
st.multiselect(
|
| 538 |
+
label=get_translation("langues_destination"),
|
| 539 |
+
placeholder=get_translation("placeholder_langues"),
|
| 540 |
options=SUPPORTED_LANGUAGES,
|
| 541 |
default=["English"],
|
| 542 |
key="language_selector",
|
|
|
|
| 545 |
)
|
| 546 |
|
| 547 |
with st.container(border=True):
|
| 548 |
+
st.subheader(get_translation("parametres_tts"))
|
| 549 |
st.selectbox(
|
| 550 |
+
get_translation("choix_voix_tts"),
|
| 551 |
options=["alloy", "echo", "fable", "onyx", "nova", "shimmer"],
|
| 552 |
+
index=3, # "onyx" is at index 3
|
| 553 |
key="tts_voice"
|
| 554 |
)
|
| 555 |
st.checkbox(
|
| 556 |
+
get_translation("activer_tts_texte"),
|
| 557 |
key="enable_tts_for_input_from_text_field"
|
| 558 |
)
|
| 559 |
st.checkbox(
|
| 560 |
+
get_translation("activer_tts_audio"),
|
| 561 |
key="enable_tts_for_input_from_audio_record"
|
| 562 |
)
|
| 563 |
|
| 564 |
+
# Application entry point
|
| 565 |
if __name__ == "__main__":
|
| 566 |
main()
|