Update app.py

app.py

@@ -585,89 +585,6 @@ def generate_audio_mars5(text):
     logging.debug(f"Audio saved to {combined_audio_path}")
     return combined_audio_path
 
-def generate_audio_meta_voice(text):
-    description = "Thomas's tone is enthusiastic and energetic, with a moderate pace and clear, high-quality delivery."
-    chunks = chunk_text(preprocess(text))
-    audio_segments = []
-
-    for chunk in chunks:
-        prompt = parler_tokenizer(chunk, return_tensors="pt").to(device)
-        generation = parler_model.generate(prompt_input_ids=prompt.input_ids)
-        audio_arr = generation.cpu().numpy().squeeze()
-
-        temp_audio_path = os.path.join(tempfile.gettempdir(), f"meta_voice_audio_{len(audio_segments)}.wav")
-        write_wav(temp_audio_path, SAMPLE_RATE, audio_arr)
-        audio_segments.append(AudioSegment.from_wav(temp_audio_path))
-
-    combined_audio = sum(audio_segments)
-    combined_audio_path = os.path.join(tempfile.gettempdir(), "meta_voice_combined_audio.wav")
-    combined_audio.export(combined_audio_path, format="wav")
-
-    logging.debug(f"Audio saved to {combined_audio_path}")
-    return combined_audio_path
-
-# Meta Voice setup script
-import subprocess
-import os
-import shutil
-import time
-import sys
-import platform
-import stat
-
-if platform.system() == 'Windows':
-    raise SystemError("You are trying to run this demo on **Windows**. Windows is not supported. If you would still like to try, remove lines 2 & 3 in the code to bypass this warning.")
-
-def setup_virtual_env():
-    # Create a virtual environment directory
-    subprocess.run(['python', '-m', 'venv', './venv_ui'])
-    
-    # Activate the virtual environment
-    activate_script = os.path.join('venv_ui', 'bin', 'activate')
-    
-    st = os.stat(activate_script)
-    os.chmod(activate_script, st.st_mode | stat.S_IEXEC)
-    subprocess.run([activate_script], shell=True)
-
-    # Install required packages
-    subprocess.run(['pip', 'install', 'gradio', 'requests'])
-
-def move_files_and_subdirs(source_dir):
-    # List all files and directories in the source directory
-    files_and_dirs = os.listdir(source_dir)
-    
-    # Move each file and directory to the current working directory
-    for item in files_and_dirs:
-        # Get the full path of the item
-        src_path = os.path.join(source_dir, item)
-        # Check if it's a file
-        if os.path.isfile(src_path):
-            # Move the file to the current working directory
-            shutil.move(src_path, os.path.join(os.getcwd(), item))
-        elif os.path.isdir(src_path):
-            # Move the directory and its contents recursively to the current working directory
-            shutil.move(src_path, os.path.join(os.getcwd(), item))
-        else:
-            print(f"Ignoring: {src_path} as it is neither a file nor a directory")
-
-
-subprocess.run(['git', 'clone', 'https://github.com/fakerybakery/metavoice-src', './mvsrc'])
-time.sleep(3)
-subprocess.run(['pip', 'uninstall', '-y', 'pydantic', 'spacy'])
-subprocess.run(['pip', 'install', '-U', 'fastapi', 'spacy', 'transformers', 'flash-attn'])
-move_files_and_subdirs("mvsrc")
-time.sleep(3)
-serving = subprocess.Popen(['python', 'fam/llm/serving.py', '--huggingface_repo_id', 'metavoiceio/metavoice-1B-v0.1'])
-# subprocess.run(['pip', 'install', '-r', 'requirements.txt'])
-setup_virtual_env()
-subprocess.run(['python', 'fam/ui/app.py'])
-# subprocess.run(['deactivate'], shell=True)
-
-serving.communicate()
-
-
-
-
 pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2", torch_dtype=torch.float16)
 pipe.to(device)
 
@@ -701,7 +618,7 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             gr.Markdown("<h1 style='color: red;'>Talk to RADAR</h1>", elem_id="voice-markdown")
             chat_input = gr.Textbox(show_copy_button=True, interactive=True, show_label=False, label="ASK Radar !!!")
             chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
-            tts_choice = gr.Radio(label="Select TTS System", choices=["Eleven Labs", "Parler-TTS", "MARS5", "Meta Voice"], value="Eleven Labs")
+            tts_choice = gr.Radio(label="Select TTS System", choices=["Eleven Labs", "Parler-TTS", "MARS5"], value="Eleven Labs")
             bot_msg = chat_msg.then(bot, [chatbot, choice, tts_choice], [chatbot, gr.Audio(interactive=False, autoplay=True)])
             bot_msg.then(lambda: gr.Textbox(value="", interactive=True, placeholder="Ask Radar!!!...", show_label=False), None, [chat_input])
             chatbot.like(print_like_dislike, None, None)