Update app.py

app.py

@@ -1,17 +1,16 @@
 import gradio as gr
 import azure.cognitiveservices.speech as speechsdk
 
-def assess_pronunciation(audio_file):
+def assess_pronunciation(audio_file, reference_text):
     # Configure Azure Speech Service
-    speech_key = "12afe22c558a4f8d8bd28d6a67cdb9b0"
-    service_region = "westus"
+    speech_key = "YourAzureSpeechServiceKey"
+    service_region = "YourServiceRegion"
     speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
     
     # Set up the audio configuration
     audio_config = speechsdk.audio.AudioConfig(filename=audio_file)
     
     # Create pronunciation assessment config
-    reference_text = "你好"
     pronunciation_config = speechsdk.PronunciationAssessmentConfig(
         reference_text=reference_text,
         grading_system=speechsdk.PronunciationAssessmentGradingSystem.HundredMark,
@@ -46,7 +45,7 @@ def assess_pronunciation(audio_file):
         }
     elif result.reason == speechsdk.ResultReason.NoMatch:
         print("NOMATCH: Speech could not be recognized.")
-        return {"Error": "There was an error. Speech could not be recognized."}
+        return {"Error": "Speech could not be recognized. Please try again with a clearer audio."}
     elif result.reason == speechsdk.ResultReason.Canceled:
         cancellation_details = speechsdk.CancellationDetails(result)
         print(f"CANCELED: Reason={cancellation_details.reason}")
@@ -59,7 +58,10 @@ def assess_pronunciation(audio_file):
 # Create Gradio interface
 interface = gr.Interface(
     fn=assess_pronunciation,
-    inputs=gr.Audio(type="filepath"),  # Corrected input
+    inputs=[
+        gr.Audio(type="filepath"),  # Audio input
+        gr.Textbox(label="Reference Text", placeholder="Enter the reference text you are pronouncing")  # Reference text input
+    ],
     outputs="json",
     title="Chinese Pronunciation Checker"
 )