Update transcriber.py

transcriber.py

@@ -7,19 +7,20 @@ class Transcriber:
         self.client = Groq(api_key=self.api_key)
 
     def transcribe(self, audio_path, target_lang="Hindi"):
+        # Map target to a source hint (Assume source is Hindi/Telugu if target is English)
         lang_hints = {
             "Hindi": "hi", "Telugu": "te", "Tamil": "ta", "Bengali": "bn",
             "Marathi": "mr", "Gujarati": "gu", "Kannada": "kn", "Malayalam": "ml",
             "Punjabi": "pa", "Urdu": "ur", "English": "en"
         }
-        # If we are translating to English, the source is likely Hindi (default hint)
+        # Optimization: If translating to English, assume source is Hindi/Indian (hi)
         hint = lang_hints.get(target_lang, "hi") if target_lang != "English" else "hi"
 
         with open(audio_path, "rb") as file:
             response = self.client.audio.transcriptions.create(
                 file=(audio_path, file.read()),
                 model="whisper-large-v3",
-                language=hint,
+                language=hint, 
                 response_format="verbose_json",
             )
         return {"text": response.text}