Update app.py

app.py

@@ -4,6 +4,7 @@ import streamlit as st
 import pandas as pd
 import pysrt
 from transformers import MarianMTModel, MarianTokenizer
+import tempfile
 
 def fetch_languages(url):
     response = requests.get(url)
@@ -13,7 +14,7 @@ def fetch_languages(url):
         df = pd.read_csv(io.StringIO(csv_content), delimiter="|", skiprows=2, header=None).dropna(axis=1, how='all')
         df.columns = ['ISO 639-1', 'ISO 639-2', 'Language Name', 'Native Name']
         df['ISO 639-1'] = df['ISO 639-1'].str.strip()
-        language_options = [(row['ISO 639-1'], f"{row['ISO 639-1']} - {row['Language Name']}") for index, row in df.iterrows()]
+        language_options = [(row['ISO 639-1'], f"{row['ISO 639-1']} - {row['Language Name'].strip()}") for index, row in df.iterrows()]
         return language_options
     else:
         st.error("Failed to fetch language options. Please try again later.")
@@ -46,8 +47,10 @@ def translate_srt(input_file, source_language_code, target_language_code):
         translated_subs.append(translated_sub)
         progress_bar.progress((idx + 1) / len(subs))
     translated_file = pysrt.SubRipFile(translated_subs)
-    translated_srt_path = input_file.name.replace(".srt", f"_{target_language_code}.srt")
-    translated_file.save(translated_srt_path)
+    # Use tempfile to create a temporary file path
+    with tempfile.NamedTemporaryFile(suffix=".srt", delete=False) as tmp_file:
+        translated_file.save(tmp_file.name)
+        translated_srt_path = tmp_file.name
     progress_bar.empty()
     return translated_srt_path