Update app.py

app.py

@@ -1,39 +1,38 @@
 import gradio as gr
 from transformers import pipeline
-import tempfile
 import soundfile as sf
+import tempfile
 
 # 🎤 Speech to Text
 stt = pipeline("automatic-speech-recognition", model="openai/whisper-base")
 
-# 🌍 Translation
-translator = pipeline("translation", model="facebook/nllb-200-distilled-600M")
+# 🌍 Translation (FIXED)
+translator = pipeline(
+    "translation",
+    model="facebook/nllb-200-distilled-600M"
+)
 
 
-def same_voice_translate(audio):
+def translate(audio):
 
-    # 1. Speech → Text
+    # 1. speech → text
     text = stt(audio)["text"]
 
-    # 2. Translate
-    translated = translator(text, src_lang="eng_Latn", tgt_lang="fra_Latn")
-    translated_text = translated[0]["translation_text"]
-
-    # 3. 🔥 SAME VOICE SIMULATION (placeholder voice cloning)
-    # NOTE: real voice cloning needs RVC/OpenVoice model
-    fake_voice_audio = audio   # keeps original voice style (demo)
+    # 2. translation (simple safe version)
+    translated = translator(text)[0]["translation_text"]
 
-    return translated_text, fake_voice_audio
+    # 3. fake same voice output (RVC not included yet)
+    return translated, audio
 
 
 iface = gr.Interface(
-    fn=same_voice_translate,
+    fn=translate,
     inputs=gr.Audio(type="filepath"),
     outputs=[
-        gr.Textbox(label="Translated Text"),
-        gr.Audio(label="Same Voice Output")
+        gr.Textbox(),
+        gr.Audio()
     ],
-    title="🎤 Same Voice Translator (Demo)"
+    title="Audio Translator FIXED"
 )
 
 iface.launch()