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app.py

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+import os
+import scipy
+import nltk
+import tempfile
+import numpy as np
+from bark.generation import preload_models, SAMPLE_RATE
+from bark import generate_audio
+from scipy.io import wavfile
+
+import gradio as gr
+nltk.download('punkt')
+os.environ["CUDA_VISIBLE_DEVICES"] = "0"
+preload_models()
+
+
+
+def generate_audio_from_text(text,language_prompt,speaker_prompt):
+    if language_prompt == "english":
+        if speaker_prompt=="speaker 1":
+            history_prompt = "v2/en_speaker_0"
+        elif speaker_prompt=="speaker 2":
+          history_prompt = "v2/en_speaker_1"
+        elif speaker_prompt=="speaker 3":
+          history_prompt = "v2/en_speaker_2"
+        elif speaker_prompt=="speaker 4":
+          history_prompt = "v2/en_speaker_3"
+        elif speaker_prompt=="speaker 5":
+          history_prompt = "v2/en_speaker_4"
+        elif speaker_prompt=="speaker 6":
+          history_prompt = "v2/en_speaker_5"
+        elif speaker_prompt=="speaker 7":
+          history_prompt = "v2/en_speaker_6"
+        elif speaker_prompt=="speaker 8":
+          history_prompt = "v2/en_speaker_7"
+        elif speaker_prompt=="speaker 9":
+          history_prompt = "v2/en_speaker_8"
+        elif speaker_prompt=="speaker 10":
+          history_prompt = "v2/en_speaker_9"
+        else:
+            history_prompt = "v2/en_speaker_9"
+
+    elif language_prompt == "french":
+        if speaker_prompt=="speaker 1":
+          history_prompt = "v2/fr_speaker_0"
+        elif speaker_prompt=="speaker 2":
+          history_prompt = "v2/fr_speaker_1"
+        elif speaker_prompt=="speaker 3":
+          history_prompt = "v2/fr_speaker_2"
+        elif speaker_prompt=="speaker 4":
+          history_prompt = "v2/fr_speaker_3"
+        elif speaker_prompt=="speaker 5":
+          history_prompt = "v2/fr_speaker_4"
+        elif speaker_prompt=="speaker 6":
+          history_prompt = "v2/fr_speaker_5"
+        elif speaker_prompt=="speaker 7":
+          history_prompt = "v2/fr_speaker_6"
+        elif speaker_prompt=="speaker 8":
+          history_prompt = "v2/fr_speaker_7"
+        elif speaker_prompt=="speaker 9":
+          history_prompt = "v2/fr_speaker_8"
+        elif speaker_prompt=="speaker 10":
+          history_prompt = "v2/fr_speaker_9"
+        else:
+            history_prompt = "v2/fr_speaker_9"
+
+    elif language_prompt =="german":
+        if speaker_prompt=="speaker 1":
+          history_prompt = "v2/de_speaker_0"
+        elif speaker_prompt=="speaker 2":
+          history_prompt = "v2/de_speaker_1"
+        elif speaker_prompt=="speaker 3":
+          history_prompt = "v2/de_speaker_2"
+        elif speaker_prompt=="speaker 4":
+          history_prompt = "v2/de_speaker_3"
+        elif speaker_prompt=="speaker 5":
+          history_prompt = "v2/de_speaker_4"
+        elif speaker_prompt=="speaker 6":
+          history_prompt = "v2/de_speaker_5"
+        elif speaker_prompt=="speaker 7":
+          history_prompt = "v2/de_speaker_6"
+        elif speaker_prompt=="speaker 8":
+          history_prompt = "v2/de_speaker_7"
+        elif speaker_prompt=="speaker 9":
+          history_prompt = "v2/de_speaker_8"
+        elif speaker_prompt=="speaker 10":
+          history_prompt = "v2/de_speaker_9"
+        else:
+            history_prompt = "v2/de_speaker_9"
+
+    elif language_prompt =="hindi":
+        if speaker_prompt=="speaker 1":
+          history_prompt = "v2/hi_speaker_0"
+        elif speaker_prompt=="speaker 2":
+          history_prompt = "v2/hi_speaker_1"
+        elif speaker_prompt=="speaker 3":
+          history_prompt = "v2/hi_speaker_2"
+        elif speaker_prompt=="speaker 4":
+          history_prompt = "v2/hi_speaker_3"
+        elif speaker_prompt=="speaker 5":
+          history_prompt = "v2/hi_speaker_4"
+        elif speaker_prompt=="speaker 6":
+          history_prompt = "v2/hi_speaker_5"
+        elif speaker_prompt=="speaker 7":
+          history_prompt = "v2/hi_speaker_6"
+        elif speaker_prompt=="speaker 8":
+          history_prompt = "v2/hi_speaker_7"
+        elif speaker_prompt=="speaker 9":
+          history_prompt = "v2/hi_speaker_8"
+        elif speaker_prompt=="speaker 10":
+          history_prompt = "v2/hi_speaker_9"
+        else:
+            history_prompt = "v2/hi_speaker_9"
+
+    elif language_prompt =="chinese":
+        if speaker_prompt=="speaker 1":
+          history_prompt = "v2/zh_speaker_0"
+        elif speaker_prompt=="speaker 2":
+          history_prompt = "v2/zh_speaker_1"
+        elif speaker_prompt=="speaker 3":
+          history_prompt = "v2/zh_speaker_2"
+        elif speaker_prompt=="speaker 4":
+          history_prompt = "v2/zh_speaker_3"
+        elif speaker_prompt=="speaker 5":
+          history_prompt = "v2/zh_speaker_4"
+        elif speaker_prompt=="speaker 6":
+          history_prompt = "v2/zh_speaker_5"
+        elif speaker_prompt=="speaker 7":
+          history_prompt = "v2/zh_speaker_6"
+        elif speaker_prompt=="speaker 8":
+          history_prompt = "v2/zh_speaker_7"
+        elif speaker_prompt=="speaker 9":
+          history_prompt = "v2/zh_speaker_8"
+        elif speaker_prompt=="speaker 10":
+          history_prompt = "v2/zh_speaker_9"
+        else:
+            history_prompt = "v2/zh_speaker_9"
+
+    elif language_prompt =="italian":
+        if speaker_prompt=="speaker 1":
+          history_prompt = "v2/it_speaker_0"
+        elif speaker_prompt=="speaker 2":
+          history_prompt = "v2/it_speaker_1"
+        elif speaker_prompt=="speaker 3":
+          history_prompt = "v2/it_speaker_2"
+        elif speaker_prompt=="speaker 4":
+          history_prompt = "v2/it_speaker_3"
+        elif speaker_prompt=="speaker 5":
+          history_prompt = "v2/it_speaker_4"
+        elif speaker_prompt=="speaker 6":
+          history_prompt = "v2/it_speaker_5"
+        elif speaker_prompt=="speaker 7":
+          history_prompt = "v2/it_speaker_6"
+        elif speaker_prompt=="speaker 8":
+          history_prompt = "v2/it_speaker_7"
+        elif speaker_prompt=="speaker 9":
+          history_prompt = "v2/it_speaker_8"
+        elif speaker_prompt=="speaker 10":
+          history_prompt = "v2/it_speaker_9"
+        else:
+            history_prompt = "v2/it_speaker_9"
+            
+    elif language_prompt =="japanese":
+        if speaker_prompt=="speaker 1":
+          history_prompt = "v2/ja_speaker_0"
+        elif speaker_prompt=="speaker 2":
+          history_prompt = "v2/ja_speaker_1"
+        elif speaker_prompt=="speaker 3":
+          history_prompt = "v2/ja_speaker_2"
+        elif speaker_prompt=="speaker 4":
+          history_prompt = "v2/ja_speaker_3"
+        elif speaker_prompt=="speaker 5":
+          history_prompt = "v2/ja_speaker_4"
+        elif speaker_prompt=="speaker 6":
+          history_prompt = "v2/ja_speaker_5"
+        elif speaker_prompt=="speaker 7":
+          history_prompt = "v2/ja_speaker_6"
+        elif speaker_prompt=="speaker 8":
+          history_prompt = "v2/ja_speaker_7"
+        elif speaker_prompt=="speaker 9":
+          history_prompt = "v2/ja_speaker_8"
+        elif speaker_prompt=="speaker 10":
+          history_prompt = "v2/ja_speaker_9"
+        else:
+            history_prompt = "v2/ja_speaker_9"
+    else:
+        raise ValueError("Invalid language or gender selection")
+
+    sentences = nltk.sent_tokenize(text)
+    silence = np.zeros(int(0.25 * SAMPLE_RATE))  # quarter second of silence
+
+    pieces = []
+    for sentence in sentences:
+        audio_array = generate_audio(sentence, history_prompt=history_prompt)
+        pieces += [audio_array]
+
+    # Concatenate the audio pieces
+    final_audio = np.concatenate(pieces)
+
+    # Save the audio to a WAV file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as temp_wav:
+        wavfile.write(temp_wav.name, SAMPLE_RATE, final_audio)
+
+    # Return the saved audio file
+    return temp_wav.name
+
+# Define lists of language and gender options
+language_options = [
+    "english",
+    "french",
+    "german",
+    "hindi",
+    "chinese",
+    "italian",
+    "japanese",
+
+
+]
+
+speaker_options=[
+    "speaker 1",
+    "speaker 2",
+    "speaker 3",
+    "speaker 4",
+    "speaker 5",
+    "speaker 6",
+    "speaker 7",
+    "speaker 8",
+    "speaker 9",
+    "speaker 10",
+]
+# Create a Gradio interface with text input and dropdown menus for language and gender
+iface = gr.Interface(
+    fn=generate_audio_from_text,
+    inputs=[
+        gr.Textbox(text="Enter text to convert to speech:"),
+        gr.Dropdown(choices=language_options, label="Select language:"),
+        gr.Dropdown(choices=speaker_options, label="Select speaker:"),
+    ],
+    outputs=gr.outputs.File(label="Download WAV File"),
+    title="Text-to-Speech App Vertical Solution",
+    timeout=300,
+)
+
+# Launch the Gradio app with sharing enabled
+iface.launch(debug=True, enable_queue=True)

requirements.txt

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+scipy
+nltk
+git+https://github.com/suno-ai/bark.git