Connect nondirect whisper api

.gitignore

@@ -1,2 +1,2 @@
 .env
-test.py
+test

app.py

@@ -361,7 +361,7 @@ from gradio_client import Client, handle_file
 import tempfile
 import os
 # Use whisper from gradio client 
-whisper_client = Client("https://openai-whisper.hf.space/")
+whisper_client = Client("freddyaboulton/really-fast-whisper")
 logger.info("[Whisper] Using remote Whisper API via Gradio Client")
 # Endpoint
 @app.post("/voice-transcribe")
@@ -377,9 +377,9 @@ async def voice_transcribe(file: UploadFile = File(...)):
         logger.info(f"[Whisper] File saved to: {tmp_path}, sending to API...")
         # Predict on client call
         result = whisper_client.predict(
-            handle_file(tmp_path),  # ✅ wrap with handle_file for local path
-            "transcribe",
-            api_name="/predict"     # or "/predict_1" if that fails
+            audio=handle_file(tmp_path),
+            language="<|en|>",
+            api_name="/predict"
         )
         # Clean cache after use
         os.remove(tmp_path)