Update app.py

app.py

@@ -38,9 +38,6 @@ from TTS.tts.models import setup_model
 from TTS.config import load_config
 from TTS.tts.models.vits import *  
 
-import whisper
-model = whisper.load_model("base")
-
 os.system('pip install voicefixer --upgrade')
 from voicefixer import VoiceFixer
 voicefixer = VoiceFixer()
@@ -135,24 +132,12 @@ def compute_spec(ref_file):
   
 
     
-def greet(apikey, Voicetoclone, VoiceMicrophone, audio, choice1):
+def greet(apikey, Voicetoclone, VoiceMicrophone, Texts, choice1):
 
     openai.api_key = apikey
 
-    audio = whisper.load_audio(audio)
-    audio = whisper.pad_or_trim(audio)
-
-    # make log-Mel spectrogram and move to the same device as the model
-    mel = whisper.log_mel_spectrogram(audio).to(model.device)
-
-    # detect the spoken language
-    _, probs = model.detect_language(mel)
-    print(f"Detected language: {max(probs, key=probs.get)}")
-
-    # decode the audio
-    options = whisper.DecodingOptions()
-    result = whisper.decode(model, mel, options)
-    res.append(result.text)
+    result = Texts
+    res.append(result)
 
     if choice1 == "TOEFL":
       messages = mes1
@@ -253,7 +238,7 @@ gr.Interface(
         gr.Textbox(lines=1, label = "请填写您的OpenAI-API-key"),
         gr.Audio(source="upload", label = "请上传您喜欢的声音(wav文件)", type="filepath"),
         gr.Audio(source="microphone", streaming = True, label = "请用语音上传您喜欢的声音，语音和文件上传二选一即可", type="filepath"),
-        gr.Audio(source="microphone", label = "请开始对话吧", type="filepath"),
+        gr.Textbox(lines=3, label = "请开始对话吧！"),
         gr.Radio(["TOEFL", "Therapist", "Alice"], label="TOEFL Examiner, Therapist Tina, or Assistant Alice?"),
     ],
     outputs=[