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# --------------------------------------------------------------- | |
# app.py – “TTS Showcase” (static-audio-only Streamlit demo) | |
# --------------------------------------------------------------- | |
import os | |
import streamlit as st | |
# ---------- 1. Page-wide settings ---------- | |
st.set_page_config( | |
page_title="🔊 TTS Showcase", | |
page_icon="🎧", | |
layout="wide" | |
) | |
# ---------- 2. Demo metadata ---------- | |
MODELS = { | |
"nari-labs/Dia-1.6B" : "Dia-1.6B", | |
"hexgrad/Kokoro-82M" : "Kokoro 82M", | |
"sesame/csm-1b" : "CSM 1B", | |
"SparkAudio/Spark-TTS-0.5B" : "Spark-TTS 0.5B", | |
"canopylabs/orpheus-3b-0.1-ft" : "Orpheus3b-0.1-ft", | |
"SWivid/F5-TTS" : "F5-TTS", | |
"Zyphra/Zonos-v0.1-transformer" : "Zonos v0.1", | |
"coqui/XTTS-v2" : "XTTS-v2", | |
"HKUSTAudio/Llasa-3B" : "Llasa 3B", | |
"amphion/MaskGCT" : "MaskGCT", | |
"OuteAI/Llama-OuteTTS-1.0-1B" : "Llama-OuteTTS-1.0-1B", | |
"ByteDance/MegaTTS3" : "MegaTTS 3" | |
} | |
# Folder that contains subfolders with the audio clips | |
SAMPLES_DIR = "samples" # <- change if yours is different | |
CLIP_NAME = "generated-audio.wav" # <- your agreed filename | |
# ---------- 3. Light CSS glow-up ---------- | |
st.markdown( | |
""" | |
<style> | |
/* Wider central column & soft grey background */ | |
.block-container { padding-top: 2rem; } | |
body { background: #f5f7fa; } | |
/* Simple card look */ | |
.tts-card { | |
background: #ffffff; | |
border-radius: 12px; | |
padding: 1.2rem 1rem; | |
box-shadow: 0 2px 8px rgba(0,0,0,.04); | |
margin-bottom: 1.5rem; | |
} | |
.tts-title { | |
font-weight: 600; | |
font-size: 1.05rem; | |
margin-bottom: .5rem; | |
} | |
audio { width: 100%; } /* Full-width players */ | |
</style> | |
""", | |
unsafe_allow_html=True | |
) | |
st.markdown( | |
""" | |
<style> | |
/* (-- existing styles here --) */ | |
/* ---------- Inferless banner ---------- */ | |
#inferless-banner{ | |
display:flex; | |
align-items:center; | |
gap:.5rem; | |
margin-top:2rem; | |
font-size:.85rem; | |
color:#555; | |
opacity:.8; | |
} | |
#inferless-banner img{ | |
height:24px; /* 👈 nice & small */ | |
width:24px; | |
object-fit:contain; | |
border-radius:4px; /* optional: soft corners */ | |
} | |
.inferless-text{ | |
letter-spacing:.2px; | |
font-weight:500; | |
} | |
</style> | |
""", | |
unsafe_allow_html=True | |
) | |
st.markdown( | |
""" | |
<div id="inferless-banner"> | |
<img src="https://i.tracxn.com/logo/company/1678863153264_9e6a9a4d-b955-42b3-895e-b94ade13c997.jpeg?format=webp&height=120&width=120" alt="Inferless Logo"> | |
<div class="inferless-text">Powered by Inferless</div> | |
</div> | |
""", | |
unsafe_allow_html=True | |
) | |
# ---------- 4. Header & optional quick-filter ---------- | |
st.title("🎙️ Open-Source Text to Speech Model Gallery") | |
with st.expander("ℹ️ About this demo", expanded=True): | |
st.write( | |
""" | |
* 12 popular TTS checkpoints, each with a single **_pre-synthesised_** sample | |
""" | |
) | |
filter_text = st.text_input( | |
"Filter models… (e.g. “coqui” or “3B”)", | |
placeholder="Search Model", | |
label_visibility="collapsed" | |
).lower().strip() | |
# ---------- 5. Render cards in a responsive 3-column grid ---------- | |
COLS_PER_ROW = 3 | |
cols = st.columns(COLS_PER_ROW) | |
def repo_to_slug(repo: str) -> str: | |
"""huggingface/xxx -> huggingface_xxx (for folder naming).""" | |
return repo.replace("/", "_") | |
visible_models = [ | |
(repo, nice_name) | |
for repo, nice_name in MODELS.items() | |
if filter_text in repo.lower() or filter_text in nice_name.lower() | |
] | |
if not visible_models: | |
st.warning("No models match that filter.") | |
else: | |
for idx, (repo, display_name) in enumerate(visible_models): | |
with cols[idx % COLS_PER_ROW]: | |
with st.container(): | |
st.markdown("<div class='tts-card'>", unsafe_allow_html=True) | |
st.markdown(f"<div class='tts-title'>🎧 {display_name}</div>", unsafe_allow_html=True) | |
# Resolved path: samples/<repo-as-slug>/generated-audio.wav | |
audio_path = os.path.join(SAMPLES_DIR, repo_to_slug(repo), CLIP_NAME) | |
if os.path.isfile(audio_path): | |
st.audio(audio_path) | |
else: | |
st.error("Sample clip not found 🤷♂️") | |
st.markdown("</div>", unsafe_allow_html=True) | |