Update app.py

app.py

@@ -4,8 +4,8 @@ import whisper
 # 1. Load the model into memory (Runs once on startup)
 # "base" is a good balance of speed and accuracy for a free CPU
 print("Loading Whisper model...")
-model = whisper.load_model("base")
-
+# Change "base" to "small"
+model = whisper.load_model("medium")
 # 2. Define the inference function
 def transcribe_audio(audio_filepath):
     print(f"Processing audio: {audio_filepath}")
@@ -14,7 +14,8 @@ def transcribe_audio(audio_filepath):
     result = model.transcribe(
         audio_filepath, 
         language="ar", 
-        word_timestamps=True
+        word_timestamps=True,
+        condition_on_previous_text=False  # ADD THIS LINE
     )
     
     # Return a clean dictionary