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import streamlit as st | |
import os | |
def text_to_srt(text): | |
lines = text.split('\n') | |
srt_content = "" | |
for i, line in enumerate(lines): | |
if line.strip() == "": | |
continue | |
try: | |
times, content = line.split(']', 1) | |
start, end = times[1:].split(' -> ') | |
# Vérifier si l'horodatage inclut les heures; sinon, préfixer par "00:" | |
if start.count(":") == 1: | |
start = "00:" + start | |
if end.count(":") == 1: | |
end = "00:" + end | |
# Remplacer '.' par ',' dans les horodatages pour le format SRT | |
srt_content += f"{i+1}\n{start.replace('.', ',')} --> {end.replace('.', ',')}\n{content.strip()}\n\n" | |
except ValueError: | |
continue # Ignorer les lignes qui ne correspondent pas au format attendu | |
# Enregistrer le contenu SRT dans un fichier temporaire | |
temp_file_path = 'output.srt' | |
with open(temp_file_path, 'w', encoding='utf-8') as file: | |
file.write(srt_content) | |
return temp_file_path | |
def save_temp_file(content, filename="output.srt"): | |
with open(filename, "w") as f: | |
f.write(content) | |
return filename | |
# Application Streamlit | |
st.title("Convertisseur de Texte en SRT") | |
text = st.text_area("🗯️ Entrez le texte de [Whisper](https://huggingface.co/spaces/sanchit-gandhi/whisper-jax)", height=300) | |
if st.button("📁 Convertir en SRT"): | |
if text: | |
srt_path = text_to_srt(text) | |
with open(srt_path, "r") as file: | |
st.download_button(label="⬇️ Télécharger le fichier SRT", data=file, file_name="output.srt", mime="text/plain") | |
else: | |
st.warning("🔴 Veuillez entrer du texte.") | |