Update app.py

app.py

@@ -18,6 +18,10 @@ image_pipeline.to(device)
 
 # --- Step 1: Transcribe Tamil Audio using Groq's whisper-large-v3 ---
 def transcribe_tamil_audio(audio):
+    if not audio or not os.path.exists(audio):
+        print("Audio path is invalid or file does not exist.")
+        return "⚠️ Failed to process audio. Please try uploading a different file."
+
     filename = "temp_audio.m4a"
 
     try:
@@ -27,14 +31,18 @@ def transcribe_tamil_audio(audio):
         print("Audio loading error:", str(e))
         return "⚠️ Failed to process audio. Please try uploading a different file."
 
-    with open(filename, "rb") as file:
-        transcription = client.audio.transcriptions.create(
-            file=(filename, file.read()),
-            model="whisper-large-v3",
-            language="ta",
-            response_format="verbose_json",
-        )
-    return transcription.text
+    try:
+        with open(filename, "rb") as file:
+            transcription = client.audio.transcriptions.create(
+                file=(filename, file.read()),
+                model="whisper-large-v3",
+                language="ta",
+                response_format="verbose_json",
+            )
+        return transcription.text
+    except Exception as e:
+        print("Transcription error:", str(e))
+        return "⚠️ Failed to transcribe audio."
 
 # --- Step 2: Translate using gemma2-9b-it ---
 def translate_tamil_to_english(tamil_text):