Update app.py

app.py

@@ -1,8 +1,9 @@
 import gradio as gr
 import requests
 
-API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v2/whisper"
+# Directly using the API key as it will be deployed in a controlled environment
 API_KEY = "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"
+API_URL = "https://api-inference.huggingface.co/models/openai/whisper-large-v2/whisper"
 HEADERS = {"Authorization": f"Bearer {API_KEY}"}
 
 def transcribe_audio(audio_path: str) -> str:
@@ -11,9 +12,21 @@ def transcribe_audio(audio_path: str) -> str:
         audio_data = f.read()
     
     # Make API request to OpenAI Whisper v2 API
-    response = requests.post(API_URL, headers=HEADERS, data=audio_data)
+    try:
+        response = requests.post(API_URL, headers=HEADERS, data=audio_data)
+        response.raise_for_status()  # Raises an HTTPError if the HTTP request returned an unsuccessful status code
+    except requests.RequestException as error:
+        print(f"API request failed: {error}")
+        return "Failed to transcribe. Please try again."
+    
     result = response.json()
-    transcribed_text = result["text"]
+    
+    # Print the full JSON response for troubleshooting
+    print(result)
+    
+    # Extract the transcribed text from the response
+    # TODO: Replace 'your-key-here' with the actual key used by the API's response
+    transcribed_text = result.get("your-key-here", "Failed to retrieve transcription.")
     
     return transcribed_text