Update app.py

app.py

@@ -32,6 +32,7 @@ whisper_api = InferenceClient("openai/whisper-small", token=huggingface_token)
 
 print(f"ACCOUNT_ID: {ACCOUNT_ID}")
 print(f"CLOUDFLARE_AUTH_TOKEN: {API_TOKEN[:5]}..." if API_TOKEN else "Not set")
+print(dir(whisper_api))
 
 MODELS = [
     "mistralai/Mistral-7B-Instruct-v0.3",
@@ -621,11 +622,16 @@ def transcribe(audio_file):
     with open(audio_file, "rb") as f:
         audio_data = f.read()
     
-    # Use the general inference method
-    response = whisper_api.inference(audio=audio_data)
+    # Create a file-like object from the audio data
+    audio_file = io.BytesIO(audio_data)
+    audio_file.name = "audio.wav"  # The name is important for the API to recognize the file type
     
-    # The response structure might vary, so adjust this line accordingly
+    # Use the automatic_speech_recognition method
+    response = whisper_api.automatic_speech_recognition(audio=audio_file)
+    
+    # The response should be a dictionary with a 'text' key
     return response["text"] if isinstance(response, dict) and "text" in response else str(response)
+Make sure your InferenceClient is initialized correctly:
 
 def vote(data: gr.LikeData):
     if data.liked: