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Update app.py
Browse files
app.py
CHANGED
@@ -3,6 +3,7 @@ import torch
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import torchaudio
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import numpy as np
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from transformers import AutoProcessor, SeamlessM4Tv2Model
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class SeamlessTranslator:
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def __init__(self):
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@@ -13,16 +14,16 @@ class SeamlessTranslator:
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self.sample_rate = self.model.config.sampling_rate
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self.languages = {
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"English": "eng",
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"Spanish": "spa",
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"French": "fra",
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"German": "deu",
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"Italian": "ita",
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"Portuguese": "por",
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"Russian": "rus",
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"Chinese": "cmn",
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"Japanese": "jpn",
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"Korean": "kor"
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}
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def translate_text(self, text, src_lang, tgt_lang, progress=gr.Progress()):
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@@ -32,11 +33,14 @@ class SeamlessTranslator:
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progress(0.6, desc="Generating audio...")
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audio_array = self.model.generate(**inputs, tgt_lang=self.languages[tgt_lang])[0].cpu().numpy().squeeze()
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progress(1.0, desc="Done!")
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return (self.sample_rate, audio_array)
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except Exception as e:
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raise gr.Error(str(e))
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def translate_audio(self, audio_path, tgt_lang, progress=gr.Progress()):
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progress(0.3, desc="Loading audio...")
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try:
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audio, orig_freq = torchaudio.load(audio_path)
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inputs = self.processor(audios=audio, return_tensors="pt")
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audio_array = self.model.generate(**inputs, tgt_lang=self.languages[tgt_lang])[0].cpu().numpy().squeeze()
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progress(1.0, desc="Done!")
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return (self.sample_rate, audio_array)
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except Exception as e:
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raise gr.Error(str(e))
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css = """
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#component-0 {
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@@ -58,68 +62,186 @@ css = """
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}
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.container {
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border-radius: 12px;
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}
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.gr-form {
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border
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}
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.gr-button {
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border-radius: 8px !important;
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background: linear-gradient(
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color: white !important;
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font-weight: 600 !important;
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}
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.gr-button:hover {
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box-shadow: 0 4px 6px -1px rgb(0 0 0 / 0.1) !important;
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transform: translateY(-1px);
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}
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.gr-input, .gr-select {
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border-radius: 8px !important;
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}
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.gr-panel {
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border-radius: 12px !important;
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}
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text-align: center;
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margin: 1rem 0;
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background: linear-gradient(to right, #2563eb, #4f46e5);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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}
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text-align: center;
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margin-bottom: 2rem;
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}
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.
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margin-bottom:
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}
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}
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padding-top: 1rem;
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border-top: 1px solid #e5e7eb;
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color: #6b7280;
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font-size: 0.875rem;
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}
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"""
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@@ -127,45 +249,71 @@ def create_ui():
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translator = SeamlessTranslator()
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with gr.Blocks(css=css, title="A.R.I.S. Translator") as demo:
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with gr.Tabs() as tabs:
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# Text
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with gr.Tab("Text Translation", id=1):
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with gr.Row():
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with gr.Column():
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text_input = gr.Textbox(
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label="Text to Translate",
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placeholder="Enter your text here...",
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lines=5
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)
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with gr.Row():
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src_lang = gr.Dropdown(
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choices=list(translator.languages.keys()),
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value="English",
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label="Source Language"
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)
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tgt_lang = gr.Dropdown(
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choices=list(translator.languages.keys()),
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value="Spanish",
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label="Target Language"
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)
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translate_btn = gr.Button("Translate", variant="primary")
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with gr.Column():
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gr.
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# Audio
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with gr.Tab("Audio Translation", id=2):
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with gr.Row():
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with gr.Column():
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audio_input = gr.Audio(
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@@ -174,22 +322,52 @@ def create_ui():
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)
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tgt_lang_audio = gr.Dropdown(
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choices=list(translator.languages.keys()),
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value="English",
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label="Target Language"
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)
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translate_audio_btn = gr.Button("Translate Audio", variant="primary")
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with gr.Column():
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gr.
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gr.HTML(
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"""
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<div class="footer">
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</div>
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"""
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)
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translate_btn.click(
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fn=translator.translate_text,
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inputs=[text_input, src_lang, tgt_lang],
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outputs=audio_output
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)
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translate_audio_btn.click(
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fn=translator.translate_audio,
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inputs=[audio_input, tgt_lang_audio],
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outputs=audio_output_from_audio
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)
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return demo
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import torchaudio
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import numpy as np
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from transformers import AutoProcessor, SeamlessM4Tv2Model
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from datetime import datetime
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class SeamlessTranslator:
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def __init__(self):
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self.sample_rate = self.model.config.sampling_rate
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self.languages = {
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"🇺🇸 English": "eng",
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"🇪🇸 Spanish": "spa",
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"🇫🇷 French": "fra",
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"🇩🇪 German": "deu",
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"🇮🇹 Italian": "ita",
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"🇵🇹 Portuguese": "por",
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"🇷🇺 Russian": "rus",
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"🇨🇳 Chinese": "cmn",
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"🇯🇵 Japanese": "jpn",
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"🇰🇷 Korean": "kor"
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}
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def translate_text(self, text, src_lang, tgt_lang, progress=gr.Progress()):
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progress(0.6, desc="Generating audio...")
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audio_array = self.model.generate(**inputs, tgt_lang=self.languages[tgt_lang])[0].cpu().numpy().squeeze()
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progress(1.0, desc="Done!")
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return (self.sample_rate, audio_array), f"✅ Translation completed: {src_lang} → {tgt_lang}"
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except Exception as e:
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raise gr.Error(f"❌ Translation failed: {str(e)}")
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def translate_audio(self, audio_path, tgt_lang, progress=gr.Progress()):
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if audio_path is None:
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raise gr.Error("❌ Please upload an audio file")
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progress(0.3, desc="Loading audio...")
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try:
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audio, orig_freq = torchaudio.load(audio_path)
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inputs = self.processor(audios=audio, return_tensors="pt")
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audio_array = self.model.generate(**inputs, tgt_lang=self.languages[tgt_lang])[0].cpu().numpy().squeeze()
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progress(1.0, desc="Done!")
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return (self.sample_rate, audio_array), "✅ Audio translation completed"
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except Exception as e:
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raise gr.Error(f"❌ Translation failed: {str(e)}")
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css = """
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#component-0 {
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}
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.container {
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border-radius: 16px;
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padding: 24px;
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background: white;
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box-shadow: 0 4px 6px -1px rgb(0 0 0 / 0.1);
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}
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.header-container {
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text-align: center;
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margin-bottom: 2rem;
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padding: 2rem;
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background: linear-gradient(135deg, #f8fafc, #e2e8f0);
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border-radius: 16px;
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box-shadow: 0 4px 6px -1px rgb(0 0 0 / 0.1);
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}
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.title {
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font-size: 2.75rem;
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font-weight: 800;
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background: linear-gradient(135deg, #1e40af, #3b82f6);
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-webkit-background-clip: text;
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-webkit-text-fill-color: transparent;
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margin-bottom: 0.5rem;
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}
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.subtitle {
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color: #64748b;
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font-size: 1.1rem;
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margin-bottom: 1rem;
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}
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.stats {
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display: flex;
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justify-content: center;
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gap: 2rem;
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margin-top: 1rem;
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}
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.stat-item {
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text-align: center;
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padding: 0.5rem 1rem;
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background: white;
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border-radius: 8px;
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box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1);
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}
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.stat-value {
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font-weight: 600;
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color: #1e40af;
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font-size: 1.25rem;
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}
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.stat-label {
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color: #64748b;
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font-size: 0.875rem;
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}
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.tab-nav {
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background: white;
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padding: 0.5rem;
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border-radius: 12px;
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margin-bottom: 1.5rem;
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box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1);
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}
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.gr-form {
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border: none !important;
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background: white;
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padding: 1.5rem !important;
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border-radius: 12px !important;
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box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1);
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}
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.gr-box {
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border-radius: 12px !important;
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box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1);
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}
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.gr-button {
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border-radius: 8px !important;
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background: linear-gradient(135deg, #1e40af, #3b82f6) !important;
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color: white !important;
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font-weight: 600 !important;
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padding: 0.75rem 1.5rem !important;
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transition: all 0.2s !important;
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}
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.gr-button:hover {
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transform: translateY(-1px) !important;
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box-shadow: 0 4px 6px -1px rgb(0 0 0 / 0.1) !important;
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}
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.gr-input, .gr-select {
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border-radius: 8px !important;
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border: 1px solid #e2e8f0 !important;
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padding: 0.75rem !important;
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transition: all 0.2s !important;
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}
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.gr-input:focus, .gr-select:focus {
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border-color: #3b82f6 !important;
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box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.1) !important;
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}
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.gr-panel {
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border-radius: 12px !important;
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border: none !important;
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box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1) !important;
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}
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.output-container {
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background: #f8fafc;
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padding: 1.5rem;
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border-radius: 12px;
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margin-top: 1rem;
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}
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.output-label {
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font-weight: 600;
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color: #1e40af;
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margin-bottom: 0.75rem;
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font-size: 1.1rem;
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}
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.status-message {
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padding: 0.75rem;
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border-radius: 8px;
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margin-top: 1rem;
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font-size: 0.875rem;
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background: #f0f9ff;
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border-left: 4px solid #3b82f6;
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}
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.footer {
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text-align: center;
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margin-top: 3rem;
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padding: 1.5rem;
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background: white;
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border-radius: 12px;
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box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1);
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}
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.footer-text {
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color: #64748b;
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font-size: 0.875rem;
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}
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.feature-grid {
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display: grid;
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grid-template-columns: repeat(3, 1fr);
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gap: 1rem;
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margin: 1rem 0;
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}
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.feature-item {
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background: white;
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padding: 1rem;
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border-radius: 8px;
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text-align: center;
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box-shadow: 0 1px 3px 0 rgb(0 0 0 / 0.1);
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}
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.feature-icon {
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font-size: 1.5rem;
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margin-bottom: 0.5rem;
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color: #3b82f6;
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230 |
}
|
231 |
|
232 |
+
.language-pair {
|
233 |
+
display: flex;
|
234 |
+
align-items: center;
|
235 |
+
gap: 1rem;
|
236 |
+
margin: 1rem 0;
|
237 |
+
padding: 0.75rem;
|
238 |
+
background: #f8fafc;
|
239 |
+
border-radius: 8px;
|
240 |
}
|
241 |
|
242 |
+
.language-arrow {
|
243 |
+
color: #3b82f6;
|
244 |
+
font-weight: bold;
|
|
|
|
|
|
|
|
|
245 |
}
|
246 |
"""
|
247 |
|
|
|
249 |
translator = SeamlessTranslator()
|
250 |
|
251 |
with gr.Blocks(css=css, title="A.R.I.S. Translator") as demo:
|
252 |
+
# Header
|
253 |
+
with gr.Column(elem_class="header-container"):
|
254 |
+
gr.HTML(
|
255 |
+
"""
|
256 |
+
<div class="title">A.R.I.S. Translator</div>
|
257 |
+
<div class="subtitle">Advanced Real-time Interpretation System</div>
|
258 |
+
<div class="stats">
|
259 |
+
<div class="stat-item">
|
260 |
+
<div class="stat-value">10</div>
|
261 |
+
<div class="stat-label">Languages</div>
|
262 |
+
</div>
|
263 |
+
<div class="stat-item">
|
264 |
+
<div class="stat-value">Real-time</div>
|
265 |
+
<div class="stat-label">Translation</div>
|
266 |
+
</div>
|
267 |
+
<div class="stat-item">
|
268 |
+
<div class="stat-value">Neural</div>
|
269 |
+
<div class="stat-label">Technology</div>
|
270 |
+
</div>
|
271 |
+
</div>
|
272 |
+
"""
|
273 |
+
)
|
274 |
|
275 |
+
# Main content
|
276 |
with gr.Tabs() as tabs:
|
277 |
+
# Text Translation Tab
|
278 |
+
with gr.Tab("🔤 Text Translation", id=1):
|
279 |
with gr.Row():
|
280 |
with gr.Column():
|
281 |
text_input = gr.Textbox(
|
282 |
label="Text to Translate",
|
283 |
placeholder="Enter your text here...",
|
284 |
+
lines=5,
|
285 |
+
elem_classes="gr-input"
|
286 |
)
|
287 |
with gr.Row():
|
288 |
src_lang = gr.Dropdown(
|
289 |
choices=list(translator.languages.keys()),
|
290 |
+
value="🇺🇸 English",
|
291 |
+
label="Source Language",
|
292 |
+
elem_classes="gr-select"
|
293 |
)
|
294 |
tgt_lang = gr.Dropdown(
|
295 |
choices=list(translator.languages.keys()),
|
296 |
+
value="🇪🇸 Spanish",
|
297 |
+
label="Target Language",
|
298 |
+
elem_classes="gr-select"
|
299 |
)
|
300 |
+
translate_btn = gr.Button("🔄 Translate", variant="primary")
|
301 |
+
status_text = gr.Textbox(
|
302 |
+
label="Status",
|
303 |
+
interactive=False,
|
304 |
+
elem_classes="status-message"
|
305 |
+
)
|
306 |
|
307 |
with gr.Column():
|
308 |
+
with gr.Box(elem_classes="output-container"):
|
309 |
+
gr.HTML('<div class="output-label">🔊 Translation Output</div>')
|
310 |
+
audio_output = gr.Audio(
|
311 |
+
label="Translated Audio",
|
312 |
+
type="numpy"
|
313 |
+
)
|
314 |
|
315 |
+
# Audio Translation Tab
|
316 |
+
with gr.Tab("🎤 Audio Translation", id=2):
|
317 |
with gr.Row():
|
318 |
with gr.Column():
|
319 |
audio_input = gr.Audio(
|
|
|
322 |
)
|
323 |
tgt_lang_audio = gr.Dropdown(
|
324 |
choices=list(translator.languages.keys()),
|
325 |
+
value="🇺🇸 English",
|
326 |
+
label="Target Language",
|
327 |
+
elem_classes="gr-select"
|
328 |
+
)
|
329 |
+
translate_audio_btn = gr.Button("🔄 Translate Audio", variant="primary")
|
330 |
+
status_text_audio = gr.Textbox(
|
331 |
+
label="Status",
|
332 |
+
interactive=False,
|
333 |
+
elem_classes="status-message"
|
334 |
)
|
|
|
335 |
|
336 |
with gr.Column():
|
337 |
+
with gr.Box(elem_classes="output-container"):
|
338 |
+
gr.HTML('<div class="output-label">🔊 Translation Output</div>')
|
339 |
+
audio_output_from_audio = gr.Audio(
|
340 |
+
label="Translated Audio",
|
341 |
+
type="numpy"
|
342 |
+
)
|
343 |
+
|
344 |
+
# Features Grid
|
345 |
+
gr.HTML(
|
346 |
+
"""
|
347 |
+
<div class="feature-grid">
|
348 |
+
<div class="feature-item">
|
349 |
+
<div class="feature-icon">🌐</div>
|
350 |
+
<div>10 Languages</div>
|
351 |
+
</div>
|
352 |
+
<div class="feature-item">
|
353 |
+
<div class="feature-icon">⚡</div>
|
354 |
+
<div>Real-time Processing</div>
|
355 |
+
</div>
|
356 |
+
<div class="feature-item">
|
357 |
+
<div class="feature-icon">🎯</div>
|
358 |
+
<div>High Accuracy</div>
|
359 |
+
</div>
|
360 |
+
</div>
|
361 |
+
"""
|
362 |
+
)
|
363 |
|
364 |
+
# Footer
|
365 |
gr.HTML(
|
366 |
"""
|
367 |
<div class="footer">
|
368 |
+
<div class="footer-text">
|
369 |
+
Powered by Meta's SeamlessM4T model | Built with ❤️ using Gradio
|
370 |
+
</div>
|
371 |
</div>
|
372 |
"""
|
373 |
)
|
|
|
376 |
translate_btn.click(
|
377 |
fn=translator.translate_text,
|
378 |
inputs=[text_input, src_lang, tgt_lang],
|
379 |
+
outputs=[audio_output, status_text]
|
380 |
)
|
381 |
|
382 |
translate_audio_btn.click(
|
383 |
fn=translator.translate_audio,
|
384 |
inputs=[audio_input, tgt_lang_audio],
|
385 |
+
outputs=[audio_output_from_audio, status_text_audio]
|
386 |
)
|
387 |
|
388 |
return demo
|