fix extra dependencies in app

app.py

@@ -31,10 +31,6 @@ os.environ["TEMP"] = tmp
 warnings.filterwarnings("ignore")
 torch.manual_seed(114514)
 
-from ilariatts import tts_order_voice
-language_dict = tts_order_voice
-ilariavoices = language_dict.keys()
-
 import signal
 
 import math
@@ -1407,9 +1403,6 @@ def mouth(size, face, voice, faces):
     process = subprocess.Popen(command, shell=True, cwd='/content/wav2lip-HD/Wav2Lip-master')
     stdout, stderr = process.communicate()
     return '/content/wav2lip-HD/outputs/result.mp4', 'Animation completed.'
-eleven_voices = ['Adam','Antoni','Josh','Arnold','Sam','Bella','Rachel','Domi','Elli']
-eleven_voices_ids=['pNInz6obpgDQGcFmaJgB','ErXwobaYiN019PkySvjV','TxGEqnHWrfWFTfGW9XjX','VR6AewLTigWG4xSOukaG','yoZ06aMxZJJ28mfd3POQ','EXAVITQu4vr4xnSDxMaL','21m00Tcm4TlvDq8ikWAM','AZnzlk1XvdvUeBnXmlld','MF3mGyEYCl7XYWbV9V6O']
-chosen_voice = dict(zip(eleven_voices, eleven_voices_ids))
 
 def stoptraining(mim): 
     if int(mim) == 1:
@@ -1424,53 +1417,7 @@ def stoptraining(mim):
     )
 
 
-# def elevenTTS(xiapi, text, id, lang):
-#     if xiapi!= '' and id !='': 
-#         choice = chosen_voice[id]
-#         CHUNK_SIZE = 1024
-#         url = f"https://api.elevenlabs.io/v1/text-to-speech/{choice}"
-#         headers = {
-#         "Accept": "audio/mpeg",
-#         "Content-Type": "application/json",
-#         "xi-api-key": xiapi
-#         }
-#         if lang == 'en':
-#             data = {
-#             "text": text,
-#             "model_id": "eleven_monolingual_v1",
-#             "voice_settings": {
-#             "stability": 0.5,
-#             "similarity_boost": 0.5
-#             }
-#             }
-#         else:
-#             data = {
-#             "text": text,
-#             "model_id": "eleven_multilingual_v1",
-#             "voice_settings": {
-#             "stability": 0.5,
-#             "similarity_boost": 0.5
-#             }
-#             }
-
-#         response = requests.post(url, json=data, headers=headers)
-#         with open('./temp_eleven.mp3', 'wb') as f:
-#           for chunk in response.iter_content(chunk_size=CHUNK_SIZE):
-#               if chunk:
-#                   f.write(chunk)
-#         aud_path = save_to_wav('./temp_eleven.mp3')
-#         return aud_path, aud_path
-#     else:
-#         tts = gTTS(text, lang=lang)
-#         tts.save('./temp_gTTS.mp3')
-#         aud_path = save_to_wav('./temp_gTTS.mp3')
-#         return aud_path, aud_path
-
-# def ilariaTTS(text, ttsvoice):
-#     vo=language_dict[ttsvoice]
-#     asyncio.run(edge_tts.Communicate(text, vo).save("./temp_ilaria.mp3"))
-#     aud_path = save_to_wav('./temp_ilaria.mp3')
-#     return aud_path, aud_path
+
 
 def transcribe_btn_click(audio_choice):
     batch_size = 1  # Adjust based on your GPU memory availability
@@ -1619,7 +1566,7 @@ for root, dirs, files in os.walk(index_root, topdown=False):
         if name.endswith(".index") and "trained" not in name:
             index_paths.append("%s/%s" % (root, name))
 
-with gr.Blocks(theme=gr.themes.Default(primary_hue="pink", secondary_hue="rose"), title="Ilaria RVC 💖") as app:
+with gr.Blocks(theme=gr.themes.Default(primary_hue="pink", secondary_hue="rose"), title="HITGEN AI") as app:
     with gr.Tabs():
         with gr.TabItem("Inference"):
             # gr.HTML("<h1>  Ilaria RVC 💖   </h1>")     
@@ -1744,13 +1691,6 @@ with gr.Blocks(theme=gr.themes.Default(primary_hue="pink", secondary_hue="rose")
                         interactive=False,
                     )
                     
-                    # with gr.Accordion('IlariaTTS', open=True):
-                    #     with gr.Column():
-                    #         ilariaid=gr.Dropdown(label="Voice:", choices=ilariavoices, value="English-Jenny (Female)")
-                    #         ilariatext = gr.Textbox(label="Input your Text", interactive=True, value="This is a test.")
-                    #         ilariatts_button = gr.Button(value="Speak")
-                    #         ilariatts_button.click(fn=ilariaTTS, inputs=[ilariatext, ilariaid], outputs=[record_button, input_audio0])    
-
                 #with gr.Column():
                     with gr.Accordion("Index Settings", open=False):
                         #with gr.Row():