Update app.py

app.py

@@ -8,15 +8,20 @@ from deep_translator import GoogleTranslator
 from langdetect import detect
 
 # -----------------------------
-# STEP 1: API Key setup
+# STEP 1: API Key setup (Hugging Face Safe)
 # -----------------------------
-# For Hugging Face Spaces, set GROQ_API_KEY in "Repository Secrets"
-# (Settings → Variables and secrets → Repository secrets)
+# Make sure to set GROQ_API_KEY in your Space:
+# Go to: Settings → Variables and secrets → Repository secrets → Add new secret
+# Name: GROQ_API_KEY
+# Value: your key (like gsk_xxxxxxx)
 
-if "GROQ_API_KEY" not in os.environ:
-    os.environ["GROQ_API_KEY"] = input("Enter your GROQ_API_KEY: ")
+api_key = os.getenv("GROQ_API_KEY")
+if not api_key:
+    raise ValueError(
+        "❌ GROQ_API_KEY not found! Please add it in your Hugging Face Space → Settings → Secrets."
+    )
 
-client = Groq(api_key=os.environ["GROQ_API_KEY"])
+client = Groq(api_key=api_key)
 
 
 # -----------------------------
@@ -39,7 +44,6 @@ def transcribe_audio(audio_path):
 # STEP 3: Language Detection
 # -----------------------------
 def detect_language(text):
-    """Detect language using langdetect."""
     try:
         return detect(text)
     except:
@@ -50,7 +54,6 @@ def detect_language(text):
 # STEP 4: Translation
 # -----------------------------
 def translate_text(text, dest_lang):
-    """Translate text using deep-translator with retry."""
     if not text.strip():
         return "[Translation error] Empty input text"
     try:
@@ -68,7 +71,6 @@ def translate_text(text, dest_lang):
 # STEP 5: Text-to-Speech
 # -----------------------------
 def text_to_speech(text, lang):
-    """Convert text to speech using gTTS."""
     try:
         tts = gTTS(text=text, lang=lang)
         temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
@@ -82,7 +84,6 @@ def text_to_speech(text, lang):
 # STEP 6: Full Pipeline
 # -----------------------------
 def pipeline_translate(audio, target_lang_hint):
-    """Full pipeline: speech → text → translate → speech."""
     if not audio:
         return "[Error] No audio input", None, None, None
 
@@ -115,7 +116,7 @@ def pipeline_translate(audio, target_lang_hint):
 # -----------------------------
 with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown("## 🎙 AI Voice Translator")
-    gr.Markdown("Speak any language — it will transcribe, translate, and play it back!")
+    gr.Markdown("Speak in any language — it will transcribe, translate, and speak it back!")
 
     with gr.Row():
         audio_input = gr.Audio(sources=["microphone"], type="filepath", label="🎤 Record Your Speech")