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README.md

@@ -1,12 +1,173 @@
----
-title: Sarvm Audio Translation
-emoji: 🏢
-colorFrom: indigo
-colorTo: green
-sdk: streamlit
-sdk_version: 1.30.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Seamless Translation
+
+Seamless-m4t-v2-large is a multimodal speech detection and translation model.
+
+More information is available on the model [card](https://huggingface.co/facebook/seamless-m4t-v2-large)
+
+Google Colab available [here](https://colab.research.google.com/drive/1ndSYhHxPkMl58EpkZ5pWrfsTxYgMhwWO?usp=sharing)
+
+![header](assets/header.png)
+
+![Python](https://img.shields.io/badge/Python-3.8-3776AB?style=flat&logo=python&logoColor=white)
+![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?style=flat&logo=Streamlit&logoColor=white)
+![GitHub](https://img.shields.io/badge/GitHub-100000?style=flat&logo=github&logoColor=white)
+![Hugging Face](https://img.shields.io/badge/Hugging%20Face-FFEF00?style=flat&logo=HuggingFace&logoColor=black)
+
+
+## Installation
+
+To install Seamless Translation, follow these steps:
+
+```bash
+git clone 
+cd seamless-translation
+pip install -r requirements.txt
+```
+
+## Usage
+
+After installation, you can easily run the application using Streamlit. Use the following command to start the application:
+
+```bash
+streamlit run app.py
+```
+
+## Features
+
+Seamless Translation offers a comprehensive range of features:
+
++ Multilingual Support: It supports an extensive list of languages and dialects, with capabilities for both speech and text translation.
++ Speech and Text Input: The model can process both spoken words (Sp) and textual data (Tx), offering flexibility in usage.
++ Diverse Script Handling: It accommodates a wide array of scripts, including Latin, Cyrillic, Arabic, and more, ensuring accurate translation across different writing systems.
++ Seamless Communication: Designed for both source and target language translation, the model provides a smooth and efficient translation process.
+
+## Testing
+
+Test the model and cache the download to make the streamlit script startup faster:
+
+```
+python test.py
+```
+
+### Supported Languages 
+
+| code | language               | script     | Source | Target |
+| ---- | ---------------------- | ---------- | ------ | ------ |
+| afr  | Afrikaans              | Latn       | Sp, Tx | Tx     |
+| amh  | Amharic                | Ethi       | Sp, Tx | Tx     |
+| arb  | Modern Standard Arabic | Arab       | Sp, Tx | Sp, Tx |
+| ary  | Moroccan Arabic        | Arab       | Sp, Tx | Tx     |
+| arz  | Egyptian Arabic        | Arab       | Sp, Tx | Tx     |
+| asm  | Assamese               | Beng       | Sp, Tx | Tx     |
+| ast  | Asturian               | Latn       | Sp     | \--    |
+| azj  | North Azerbaijani      | Latn       | Sp, Tx | Tx     |
+| bel  | Belarusian             | Cyrl       | Sp, Tx | Tx     |
+| ben  | Bengali                | Beng       | Sp, Tx | Sp, Tx |
+| bos  | Bosnian                | Latn       | Sp, Tx | Tx     |
+| bul  | Bulgarian              | Cyrl       | Sp, Tx | Tx     |
+| cat  | Catalan                | Latn       | Sp, Tx | Sp, Tx |
+| ceb  | Cebuano                | Latn       | Sp, Tx | Tx     |
+| ces  | Czech                  | Latn       | Sp, Tx | Sp, Tx |
+| ckb  | Central Kurdish        | Arab       | Sp, Tx | Tx     |
+| cmn  | Mandarin Chinese       | Hans       | Sp, Tx | Sp, Tx |
+| cmn_Hant  | Mandarin Chinese  | Hant       | Sp, Tx | Sp, Tx |
+| cym  | Welsh                  | Latn       | Sp, Tx | Sp, Tx |
+| dan  | Danish                 | Latn       | Sp, Tx | Sp, Tx |
+| deu  | German                 | Latn       | Sp, Tx | Sp, Tx |
+| ell  | Greek                  | Grek       | Sp, Tx | Tx     |
+| eng  | English                | Latn       | Sp, Tx | Sp, Tx |
+| est  | Estonian               | Latn       | Sp, Tx | Sp, Tx |
+| eus  | Basque                 | Latn       | Sp, Tx | Tx     |
+| fin  | Finnish                | Latn       | Sp, Tx | Sp, Tx |
+| fra  | French                 | Latn       | Sp, Tx | Sp, Tx |
+| fuv  | Nigerian Fulfulde      | Latn       | Sp, Tx | Tx     |
+| gaz  | West Central Oromo     | Latn       | Sp, Tx | Tx     |
+| gle  | Irish                  | Latn       | Sp, Tx | Tx     |
+| glg  | Galician               | Latn       | Sp, Tx | Tx     |
+| guj  | Gujarati               | Gujr       | Sp, Tx | Tx     |
+| heb  | Hebrew                 | Hebr       | Sp, Tx | Tx     |
+| hin  | Hindi                  | Deva       | Sp, Tx | Sp, Tx |
+| hrv  | Croatian               | Latn       | Sp, Tx | Tx     |
+| hun  | Hungarian              | Latn       | Sp, Tx | Tx     |
+| hye  | Armenian               | Armn       | Sp, Tx | Tx     |
+| ibo  | Igbo                   | Latn       | Sp, Tx | Tx     |
+| ind  | Indonesian             | Latn       | Sp, Tx | Sp, Tx |
+| isl  | Icelandic              | Latn       | Sp, Tx | Tx     |
+| ita  | Italian                | Latn       | Sp, Tx | Sp, Tx |
+| jav  | Javanese               | Latn       | Sp, Tx | Tx     |
+| jpn  | Japanese               | Jpan       | Sp, Tx | Sp, Tx |
+| kam  | Kamba                  | Latn       | Sp     | \--    |
+| kan  | Kannada                | Knda       | Sp, Tx | Tx     |
+| kat  | Georgian               | Geor       | Sp, Tx | Tx     |
+| kaz  | Kazakh                 | Cyrl       | Sp, Tx | Tx     |
+| kea  | Kabuverdianu           | Latn       | Sp     | \--    |
+| khk  | Halh Mongolian         | Cyrl       | Sp, Tx | Tx     |
+| khm  | Khmer                  | Khmr       | Sp, Tx | Tx     |
+| kir  | Kyrgyz                 | Cyrl       | Sp, Tx | Tx     |
+| kor  | Korean                 | Kore       | Sp, Tx | Sp, Tx |
+| lao  | Lao                    | Laoo       | Sp, Tx | Tx     |
+| lit  | Lithuanian             | Latn       | Sp, Tx | Tx     |
+| ltz  | Luxembourgish          | Latn       | Sp     | \--    |
+| lug  | Ganda                  | Latn       | Sp, Tx | Tx     |
+| luo  | Luo                    | Latn       | Sp, Tx | Tx     |
+| lvs  | Standard Latvian       | Latn       | Sp, Tx | Tx     |
+| mai  | Maithili               | Deva       | Sp, Tx | Tx     |
+| mal  | Malayalam              | Mlym       | Sp, Tx | Tx     |
+| mar  | Marathi                | Deva       | Sp, Tx | Tx     |
+| mkd  | Macedonian             | Cyrl       | Sp, Tx | Tx     |
+| mlt  | Maltese                | Latn       | Sp, Tx | Sp, Tx |
+| mni  | Meitei                 | Beng       | Sp, Tx | Tx     |
+| mya  | Burmese                | Mymr       | Sp, Tx | Tx     |
+| nld  | Dutch                  | Latn       | Sp, Tx | Sp, Tx |
+| nno  | Norwegian Nynorsk      | Latn       | Sp, Tx | Tx     |
+| nob  | Norwegian Bokmål       | Latn       | Sp, Tx | Tx     |
+| npi  | Nepali                 | Deva       | Sp, Tx | Tx     |
+| nya  | Nyanja                 | Latn       | Sp, Tx | Tx     |
+| oci  | Occitan                | Latn       | Sp     | \--    |
+| ory  | Odia                   | Orya       | Sp, Tx | Tx     |
+| pan  | Punjabi                | Guru       | Sp, Tx | Tx     |
+| pbt  | Southern Pashto        | Arab       | Sp, Tx | Tx     |
+| pes  | Western Persian        | Arab       | Sp, Tx | Sp, Tx |
+| pol  | Polish                 | Latn       | Sp, Tx | Sp, Tx |
+| por  | Portuguese             | Latn       | Sp, Tx | Sp, Tx |
+| ron  | Romanian               | Latn       | Sp, Tx | Sp, Tx |
+| rus  | Russian                | Cyrl       | Sp, Tx | Sp, Tx |
+| slk  | Slovak                 | Latn       | Sp, Tx | Sp, Tx |
+| slv  | Slovenian              | Latn       | Sp, Tx | Tx     |
+| sna  | Shona                  | Latn       | Sp, Tx | Tx     |
+| snd  | Sindhi                 | Arab       | Sp, Tx | Tx     |
+| som  | Somali                 | Latn       | Sp, Tx | Tx     |
+| spa  | Spanish                | Latn       | Sp, Tx | Sp, Tx |
+| srp  | Serbian                | Cyrl       | Sp, Tx | Tx     |
+| swe  | Swedish                | Latn       | Sp, Tx | Sp, Tx |
+| swh  | Swahili                | Latn       | Sp, Tx | Sp, Tx |
+| tam  | Tamil                  | Taml       | Sp, Tx | Tx     |
+| tel  | Telugu                 | Telu       | Sp, Tx | Sp, Tx |
+| tgk  | Tajik                  | Cyrl       | Sp, Tx | Tx     |
+| tgl  | Tagalog                | Latn       | Sp, Tx | Sp, Tx |
+| tha  | Thai                   | Thai       | Sp, Tx | Sp, Tx |
+| tur  | Turkish                | Latn       | Sp, Tx | Sp, Tx |
+| ukr  | Ukrainian              | Cyrl       | Sp, Tx | Sp, Tx |
+| urd  | Urdu                   | Arab       | Sp, Tx | Sp, Tx |
+| uzn  | Northern Uzbek         | Latn       | Sp, Tx | Sp, Tx |
+| vie  | Vietnamese             | Latn       | Sp, Tx | Sp, Tx |
+| xho  | Xhosa                  | Latn       | Sp     | \--    |
+| yor  | Yoruba                 | Latn       | Sp, Tx | Tx     |
+| yue  | Cantonese              | Hant       | Sp, Tx | Tx     |
+| zlm  | Colloquial Malay       | Latn       | Sp     | \--    |
+| zsm  | Standard Malay         | Latn       | Tx     | Tx     |
+| zul  | Zulu                   | Latn       | Sp, Tx | Tx     |
+
+
+### Citations
+
+
+```bibtex
+@inproceedings{seamless2023,
+   title="Seamless: Multilingual Expressive and Streaming Speech Translation",
+   author="{Seamless Communication}, Lo{\"i}c Barrault, Yu-An Chung, Mariano Coria Meglioli, David Dale, Ning Dong, Mark Duppenthaler, Paul-Ambroise Duquenne, Brian Ellis, Hady Elsahar, Justin Haaheim, John Hoffman, Min-Jae Hwang, Hirofumi Inaguma, Christopher Klaiber, Ilia Kulikov, Pengwei Li, Daniel Licht, Jean Maillard, Ruslan Mavlyutov, Alice Rakotoarison, Kaushik Ram Sadagopan, Abinesh Ramakrishnan, Tuan Tran, Guillaume Wenzek, Yilin Yang, Ethan Ye, Ivan Evtimov, Pierre Fernandez, Cynthia Gao, Prangthip Hansanti, Elahe Kalbassi, Amanda Kallet, Artyom Kozhevnikov, Gabriel Mejia, Robin San Roman, Christophe Touret, Corinne Wong, Carleigh Wood, Bokai Yu, Pierre Andrews, Can Balioglu, Peng-Jen Chen, Marta R. Costa-juss{\`a}, Maha Elbayad, Hongyu Gong, Francisco Guzm{\'a}n, Kevin Heffernan, Somya Jain, Justine Kao, Ann Lee, Xutai Ma, Alex Mourachko, Benjamin Peloquin, Juan Pino, Sravya Popuri, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, Anna Sun, Paden Tomasello, Changhan Wang, Jeff Wang, Skyler Wang, Mary Williamson",
+  journal={ArXiv},
+  year={2023}
+}
+
+```

app.py

@@ -0,0 +1,80 @@
+import streamlit as st
+from transformers import AutoProcessor, SeamlessM4Tv2Model
+import torchaudio
+import soundfile as sf
+import torch
+import os
+
+language_map = {
+    "Modern Standard Arabic": "arb", "Bengali": "ben", "Catalan": "cat",
+    "Czech": "ces", "Mandarin Chinese": "cmn", "Welsh": "cym",
+    "Danish": "dan", "German": "deu", "English": "eng",
+    "Estonian": "est", "Finnish": "fin", "French": "fra",
+    "Hindi": "hin", "Indonesian": "ind", "Italian": "ita",
+    "Japanese": "jpn", "Kannada": "kan", "Korean": "kor",
+    "Maltese": "mlt", "Dutch": "nld", "Western Persian": "pes",
+    "Polish": "pol", "Portuguese": "por", "Romanian": "ron",
+    "Russian": "rus", "Slovak": "slk", "Spanish": "spa",
+    "Swedish": "swe", "Swahili": "swh", "Tamil": "tam",
+    "Telugu": "tel", "Tagalog": "tgl", "Thai": "tha",
+    "Turkish": "tur", "Ukrainian": "ukr", "Urdu": "urd",
+    "Northern Uzbek": "uzn", "Vietnamese": "vie"
+}
+
+# Check if CUDA (GPU support) is available and set the device accordingly
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+# Function to load and cache the model and processor
+@st.cache_resource
+def load_model_and_processor():
+    processor = AutoProcessor.from_pretrained("facebook/seamless-m4t-v2-large")
+    model = SeamlessM4Tv2Model.from_pretrained("facebook/seamless-m4t-v2-large")
+    model.to(device)
+    return processor, model
+
+processor, model = load_model_and_processor()
+
+# Streamlit app layout
+st.title("Seamless Translation")
+
+# Sidebar components
+st.sidebar.header("Input Settings")
+input_text = st.sidebar.text_input("Enter text for conversion:", "Hello, my dog is cute")
+selected_language_name = st.sidebar.selectbox("Select Target Language:", list(language_map.keys()))
+selected_language_code = language_map[selected_language_name]
+
+# Function to convert text to audio and save
+def text_to_audio(text, language):
+    text_inputs = processor(text=text, src_lang="eng", return_tensors="pt").to(device)
+    audio_array = model.generate(**text_inputs, tgt_lang=language)[0].cpu().numpy().squeeze()
+    file_path = 'audio_from_text.wav'
+    sf.write(file_path, audio_array, 16000)
+    return file_path
+
+
+# Function to convert audio to audio and save
+def audio_to_audio(input_audio_path, language):
+    audio, orig_freq = torchaudio.load(input_audio_path)
+    audio = torchaudio.functional.resample(audio, orig_freq=orig_freq, new_freq=16000).to(device)
+    audio_inputs = processor(audios=audio, return_tensors="pt").to(device)
+    audio_array = model.generate(**audio_inputs, tgt_lang=language)[0].cpu().numpy().squeeze()
+    file_path = 'audio_from_audio.wav'
+    sf.write(file_path, audio_array, 16000)
+    return file_path
+
+# UI to trigger text-to-audio conversion
+if st.sidebar.button("Convert Text to Audio"):
+    with st.spinner("Converting..."):
+        audio_path = text_to_audio(input_text, selected_language_code)
+        st.audio(audio_path)
+
+# UI to upload audio file and trigger audio-to-audio conversion
+uploaded_audio = st.sidebar.file_uploader("Upload audio for conversion:", type=["wav"])
+if uploaded_audio is not None and st.button("Convert Uploaded Audio"):
+    with st.spinner("Converting..."):
+        audio_file_path = f"temp_{uploaded_audio.name}"
+        with open(audio_file_path, "wb") as f:
+            f.write(uploaded_audio.getvalue())
+        converted_audio_path = audio_to_audio(audio_file_path, selected_language_code)
+        st.audio(converted_audio_path)
+        os.remove(audio_file_path)

requirements.txt

@@ -0,0 +1,5 @@
+torch
+torchaudio 
+soundfile 
+sentencepiece
+git+https://github.com/huggingface/transformers.git

test.py

@@ -0,0 +1,23 @@
+from transformers import AutoProcessor, SeamlessM4Tv2Model
+import torchaudio
+import soundfile as sf
+
+# Initialize the processor and model
+processor = AutoProcessor.from_pretrained("facebook/seamless-m4t-v2-large")
+model = SeamlessM4Tv2Model.from_pretrained("facebook/seamless-m4t-v2-large")
+
+# Text to audio conversion
+text_inputs = processor(text="Hello, my dog is cute", src_lang="eng", return_tensors="pt")
+audio_array_from_text = model.generate(**text_inputs, tgt_lang="rus")[0].cpu().numpy().squeeze()
+
+# Save the audio generated from text
+sf.write('audio_from_text.wav', audio_array_from_text, 16000)  # 16000 is the sampling rate
+
+# Audio to audio conversion
+audio, orig_freq = torchaudio.load("https://www2.cs.uic.edu/~i101/SoundFiles/preamble10.wav")
+audio = torchaudio.functional.resample(audio, orig_freq=orig_freq, new_freq=16000)  # Resample to 16 kHz
+audio_inputs = processor(audios=audio, return_tensors="pt")
+audio_array_from_audio = model.generate(**audio_inputs, tgt_lang="rus")[0].cpu().numpy().squeeze()
+
+# Save the audio generated from another audio
+sf.write('audio_from_audio.wav', audio_array_from_audio, 16000)  # 16000 is the sampling rate