diff --git a/server/gpu/modal/reflector_transcriber.py b/server/gpu/modal/reflector_transcriber.py
index 335342b2..55df052b 100644
--- a/server/gpu/modal/reflector_transcriber.py
+++ b/server/gpu/modal/reflector_transcriber.py
@@ -99,13 +99,13 @@ class Whisper:
             )
 
             multilingual_transcript = {}
-            transcript_en = ""
+            transcript_source_lang = ""
             words = []
             if segments:
                 segments = list(segments)
 
                 for segment in segments:
-                    transcript_en += segment.text
+                    transcript_source_lang += segment.text
                     for word in segment.words:
                         words.append(
                             {
@@ -115,12 +115,12 @@ class Whisper:
                             }
                         )
 
-            multilingual_transcript["en"] = transcript_en
+            multilingual_transcript[source_language] = transcript_source_lang
 
-            if target_language != "en":
+            if target_language != source_language:
                 self.translation_tokenizer.src_lang = source_language
                 forced_bos_token_id = self.translation_tokenizer.get_lang_id(target_language)
-                encoded_transcript = self.translation_tokenizer(transcript_en, return_tensors="pt").to(self.device)
+                encoded_transcript = self.translation_tokenizer(transcript_source_lang, return_tensors="pt").to(self.device)
                 generated_tokens = self.translation_model.generate(
                         **encoded_transcript,
                         forced_bos_token_id=forced_bos_token_id
diff --git a/server/reflector/processors/audio_transcript_modal.py b/server/reflector/processors/audio_transcript_modal.py
index f017240e..80b6e582 100644
--- a/server/reflector/processors/audio_transcript_modal.py
+++ b/server/reflector/processors/audio_transcript_modal.py
@@ -29,10 +29,7 @@ class AudioTranscriptModalProcessor(AudioTranscriptProcessor):
         self.transcript_url = settings.TRANSCRIPT_URL + "/transcribe"
         self.warmup_url = settings.TRANSCRIPT_URL + "/warmup"
         self.timeout = settings.TRANSCRIPT_TIMEOUT
-        self.headers = {
-            "Authorization": f"Bearer {modal_api_key}",
-            # "Content-Type": "multipart/form-data"
-        }
+        self.headers = {"Authorization": f"Bearer {modal_api_key}"}
 
     async def _warmup(self):
         try:
@@ -90,7 +87,7 @@ class AudioTranscriptModalProcessor(AudioTranscriptProcessor):
             if target_language in result["text"]:
                 text = result["text"][target_language]
             else:
-                text = result["text"]["en"]
+                text = result["text"][source_language]
             transcript = Transcript(
                 text=text,
                 words=[