Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,7 +1,8 @@
|
|
| 1 |
-
# app.py — Slideshow with per-image audio +
|
| 2 |
-
# Works with MoviePy v2.x; falls back to v1 where possible.
|
| 3 |
|
| 4 |
import os
|
|
|
|
| 5 |
import tempfile
|
| 6 |
import random
|
| 7 |
from typing import Optional, List, Dict, Tuple
|
|
@@ -13,19 +14,41 @@ import gradio as gr
|
|
| 13 |
# ---- MoviePy imports with v2/v1 compatibility ----
|
| 14 |
MPY_V2 = False
|
| 15 |
afx = None # audio effects (v2)
|
|
|
|
|
|
|
| 16 |
|
| 17 |
try:
|
| 18 |
# v2.x preferred
|
| 19 |
-
from moviepy import
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
try:
|
| 21 |
from moviepy import afx as _afx # type: ignore
|
| 22 |
afx = _afx
|
| 23 |
except Exception:
|
| 24 |
afx = None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
MPY_V2 = True
|
| 26 |
except Exception:
|
| 27 |
# v1.x fallback
|
| 28 |
-
from moviepy.editor import
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
MPY_V2 = False
|
| 30 |
|
| 31 |
|
|
@@ -62,13 +85,45 @@ def apply_linear_gain(audio_clip, gain_linear: float):
|
|
| 62 |
return audio_clip
|
| 63 |
|
| 64 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 65 |
# ---------- Image utilities ----------
|
| 66 |
|
| 67 |
def load_and_fit_image(path: str, width: int, height: int, fit: str = "contain", bg: str = "#000000") -> np.ndarray:
|
| 68 |
"""
|
| 69 |
Loads an image file and returns an RGB numpy array with exact (height, width, 3).
|
| 70 |
-
fit
|
| 71 |
-
- "contain": letterbox to fit within target size (keeps aspect), background
|
| 72 |
- "cover": fill target size (keeps aspect) with center crop.
|
| 73 |
- "stretch": distort to target size.
|
| 74 |
"""
|
|
@@ -85,11 +140,9 @@ def load_and_fit_image(path: str, width: int, height: int, fit: str = "contain",
|
|
| 85 |
if fit == "cover":
|
| 86 |
# scale to cover, then center-crop
|
| 87 |
if src_aspect > target_aspect:
|
| 88 |
-
# image too wide -> fit height, crop width
|
| 89 |
new_h = height
|
| 90 |
new_w = int(round(src_aspect * new_h))
|
| 91 |
else:
|
| 92 |
-
# image too tall -> fit width, crop height
|
| 93 |
new_w = width
|
| 94 |
new_h = int(round(new_w / src_aspect))
|
| 95 |
img = img.resize((new_w, new_h), Image.LANCZOS)
|
|
@@ -113,7 +166,6 @@ def load_and_fit_image(path: str, width: int, height: int, fit: str = "contain",
|
|
| 113 |
return np.array(canvas)
|
| 114 |
|
| 115 |
|
| 116 |
-
|
| 117 |
# ---------- TTS backends ----------
|
| 118 |
|
| 119 |
_TTS_CACHE: Dict[str, object] = {}
|
|
@@ -139,15 +191,13 @@ def list_voices(backend_name: str) -> List[str]:
|
|
| 139 |
try:
|
| 140 |
tts = _get_tts_backend(backend_name)
|
| 141 |
spks = list(getattr(tts, "speakers", []))
|
| 142 |
-
#
|
| 143 |
-
|
| 144 |
-
|
| 145 |
-
|
| 146 |
-
|
| 147 |
-
ordered.remove(pref)
|
| 148 |
-
ordered.insert(0, pref)
|
| 149 |
break
|
| 150 |
-
return
|
| 151 |
except Exception:
|
| 152 |
return []
|
| 153 |
return []
|
|
@@ -161,7 +211,6 @@ def synth_tts_to_file(text: str, backend_name: str, voice: Optional[str], out_pa
|
|
| 161 |
if backend_name == "Coqui (VCTK multi-speaker)":
|
| 162 |
try:
|
| 163 |
tts = _get_tts_backend(backend_name)
|
| 164 |
-
# Coqui writes WAV by default; we'll give a .wav path
|
| 165 |
if not out_path.lower().endswith(".wav"):
|
| 166 |
out_path = os.path.splitext(out_path)[0] + ".wav"
|
| 167 |
tts.tts_to_file(text=text, speaker=voice, file_path=out_path)
|
|
@@ -169,7 +218,6 @@ def synth_tts_to_file(text: str, backend_name: str, voice: Optional[str], out_pa
|
|
| 169 |
except Exception:
|
| 170 |
return None
|
| 171 |
|
| 172 |
-
# gTTS fallback
|
| 173 |
if backend_name == "gTTS (simple)":
|
| 174 |
try:
|
| 175 |
from gtts import gTTS
|
|
@@ -183,73 +231,111 @@ def synth_tts_to_file(text: str, backend_name: str, voice: Optional[str], out_pa
|
|
| 183 |
return None
|
| 184 |
|
| 185 |
|
| 186 |
-
# ----------
|
| 187 |
|
| 188 |
-
def
|
| 189 |
"""
|
| 190 |
-
|
|
|
|
| 191 |
"""
|
| 192 |
-
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
|
| 196 |
-
|
| 197 |
-
|
| 198 |
-
|
| 199 |
-
|
| 200 |
-
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
|
| 204 |
-
for i, ip in enumerate(image_paths):
|
| 205 |
-
base = os.path.splitext(os.path.basename(ip))[0].lower()
|
| 206 |
-
if base in audio_map:
|
| 207 |
-
result[i] = audio_map[base]
|
| 208 |
-
used.add(audio_map[base])
|
| 209 |
-
|
| 210 |
-
# Second pass: index fallback for any remaining
|
| 211 |
-
leftover = [a for a in audio_paths if a not in used]
|
| 212 |
-
for i in range(len(image_paths)):
|
| 213 |
-
if result[i] is None and leftover:
|
| 214 |
-
result[i] = leftover.pop(0)
|
| 215 |
-
|
| 216 |
return result
|
| 217 |
|
| 218 |
|
| 219 |
-
# ----------
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 220 |
|
| 221 |
def build_variable_duration_video(
|
| 222 |
frames: List[np.ndarray],
|
| 223 |
per_image_durations: List[float],
|
| 224 |
-
per_image_audios: List[Optional[
|
| 225 |
-
audio_gain_db: float
|
| 226 |
):
|
| 227 |
"""
|
| 228 |
Create a video where each image has its own duration and optional audio.
|
| 229 |
"""
|
| 230 |
clips = []
|
| 231 |
-
for frame, dur,
|
| 232 |
iclip = ImageClip(frame)
|
| 233 |
-
iclip = clip_with_duration(iclip, float(dur))
|
| 234 |
-
if
|
| 235 |
try:
|
| 236 |
-
aclip = AudioFileClip(apath)
|
| 237 |
-
gain = 10 ** (float(audio_gain_db) / 20.0) if audio_gain_db else 1.0
|
| 238 |
-
if abs(gain - 1.0) > 1e-3:
|
| 239 |
-
aclip = apply_linear_gain(aclip, gain)
|
| 240 |
iclip = clip_with_audio(iclip, aclip)
|
| 241 |
except Exception:
|
| 242 |
pass
|
| 243 |
clips.append(iclip)
|
| 244 |
|
| 245 |
-
# Compose ensures audio & size are aligned
|
| 246 |
final = concatenate_videoclips(clips, method="compose")
|
| 247 |
return final
|
| 248 |
|
| 249 |
|
|
|
|
|
|
|
| 250 |
def create_slideshow(
|
| 251 |
image_files: List,
|
| 252 |
-
|
|
|
|
| 253 |
seconds_per_image: float,
|
| 254 |
width: int,
|
| 255 |
height: int,
|
|
@@ -263,8 +349,10 @@ def create_slideshow(
|
|
| 263 |
match_video_to_narration: bool,
|
| 264 |
|
| 265 |
# per-image inputs
|
| 266 |
-
per_image_texts: str, # one line per image
|
|
|
|
| 267 |
per_image_audio_files: List, # uploaded audio files
|
|
|
|
| 268 |
|
| 269 |
# TTS config
|
| 270 |
tts_backend: str,
|
|
@@ -295,8 +383,8 @@ def create_slideshow(
|
|
| 295 |
# Load frames
|
| 296 |
width = int(width); height = int(height)
|
| 297 |
frames = [load_and_fit_image(p, width, height, fit=fit_mode, bg=bg_color) for p in paths]
|
|
|
|
| 298 |
|
| 299 |
-
# Build outputs based on narration_mode
|
| 300 |
out_path = os.path.join(tempfile.gettempdir(), "slideshow_output.mp4")
|
| 301 |
|
| 302 |
# --- Per-image AUDIO FILES ---
|
|
@@ -309,22 +397,44 @@ def create_slideshow(
|
|
| 309 |
aud_paths.append(ap)
|
| 310 |
aud_paths = sorted(aud_paths, key=lambda p: os.path.basename(p).lower())
|
| 311 |
|
| 312 |
-
|
| 313 |
-
|
| 314 |
-
|
| 315 |
-
|
| 316 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 317 |
if ap:
|
| 318 |
try:
|
| 319 |
aclip = AudioFileClip(ap)
|
| 320 |
-
|
|
|
|
| 321 |
except Exception:
|
| 322 |
-
|
|
|
|
| 323 |
else:
|
| 324 |
-
|
| 325 |
-
|
| 326 |
-
final_clip = build_variable_duration_video(frames, durations, per_img_audio, audio_gain_db)
|
| 327 |
|
|
|
|
| 328 |
final_clip.write_videofile(
|
| 329 |
out_path,
|
| 330 |
codec="libx264",
|
|
@@ -335,22 +445,21 @@ def create_slideshow(
|
|
| 335 |
)
|
| 336 |
return out_path, "Done! Per-image audio applied."
|
| 337 |
|
| 338 |
-
# --- Per-image TTS per line ---
|
| 339 |
if narration_mode == "Per-image (TTS per line)" and per_image_texts.strip():
|
| 340 |
lines = [ln.strip() for ln in per_image_texts.splitlines()]
|
| 341 |
# Pad / trim to image count
|
| 342 |
-
if len(lines) <
|
| 343 |
-
lines += [""] * (
|
| 344 |
else:
|
| 345 |
-
lines = lines[:
|
| 346 |
|
| 347 |
-
# Generate audio per line
|
| 348 |
tmp_dir = tempfile.gettempdir()
|
| 349 |
-
|
| 350 |
-
|
|
|
|
| 351 |
for idx, text in enumerate(lines):
|
| 352 |
voice = tts_voice
|
| 353 |
-
# Optional "speaker| text" override for Coqui
|
| 354 |
if "|" in text and tts_backend.startswith("Coqui"):
|
| 355 |
maybe_speaker, maybe_text = text.split("|", 1)
|
| 356 |
if maybe_text.strip():
|
|
@@ -364,18 +473,59 @@ def create_slideshow(
|
|
| 364 |
gen = synth_tts_to_file(text, tts_backend, voice, apath)
|
| 365 |
apath = gen if gen and os.path.exists(gen) else None
|
| 366 |
|
| 367 |
-
per_img_audio.append(apath)
|
| 368 |
if apath:
|
| 369 |
try:
|
| 370 |
aclip = AudioFileClip(apath)
|
| 371 |
-
|
|
|
|
| 372 |
except Exception:
|
| 373 |
-
|
|
|
|
| 374 |
else:
|
| 375 |
-
|
|
|
|
| 376 |
|
| 377 |
-
final_clip = build_variable_duration_video(frames,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 378 |
|
|
|
|
| 379 |
final_clip.write_videofile(
|
| 380 |
out_path,
|
| 381 |
codec="libx264",
|
|
@@ -384,7 +534,7 @@ def create_slideshow(
|
|
| 384 |
preset="medium",
|
| 385 |
threads=max(1, (os.cpu_count() or 2) // 2),
|
| 386 |
)
|
| 387 |
-
return out_path, "Done! Per-image TTS applied."
|
| 388 |
|
| 389 |
# --- Single story (one track) ---
|
| 390 |
if narration_mode == "Single story" and story_text.strip():
|
|
@@ -451,12 +601,13 @@ def update_voice_choices(backend_name: str):
|
|
| 451 |
|
| 452 |
|
| 453 |
def ui():
|
| 454 |
-
with gr.Blocks(title="Slideshow + Per-Image Audio + Voice Picker", theme=gr.themes.Soft()) as demo:
|
| 455 |
gr.Markdown(
|
| 456 |
"""
|
| 457 |
# 🖼️ → 🎬 Slideshow Maker
|
| 458 |
-
- **Per-image audio**: upload audio files (matched by filename or order)
|
| 459 |
-
- **TTS
|
|
|
|
| 460 |
"""
|
| 461 |
)
|
| 462 |
|
|
@@ -475,7 +626,8 @@ def ui():
|
|
| 475 |
shuffle_seed = gr.Number(value=0, precision=0, label="Shuffle Seed (integer)")
|
| 476 |
|
| 477 |
seconds_per_image = gr.Slider(
|
| 478 |
-
minimum=0.1, maximum=10.0, step=0.1, value=1.5,
|
|
|
|
| 479 |
)
|
| 480 |
|
| 481 |
with gr.Row():
|
|
@@ -487,10 +639,15 @@ def ui():
|
|
| 487 |
|
| 488 |
with gr.Column(scale=1):
|
| 489 |
narration_mode = gr.Radio(
|
| 490 |
-
["None",
|
|
|
|
|
|
|
|
|
|
|
|
|
| 491 |
value="None",
|
| 492 |
label="Narration mode"
|
| 493 |
)
|
|
|
|
| 494 |
# Single-story UI
|
| 495 |
story_text = gr.Textbox(
|
| 496 |
label="Story (Single track narration)",
|
|
@@ -500,15 +657,24 @@ def ui():
|
|
| 500 |
value=True, label="Match video duration to narration length (single-story)"
|
| 501 |
)
|
| 502 |
|
| 503 |
-
# Per-image UI
|
| 504 |
per_image_audio_files = gr.Files(
|
| 505 |
label="Per-image audio files (optional) — matched by filename or order",
|
| 506 |
file_count="multiple",
|
| 507 |
file_types=["audio"]
|
| 508 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 509 |
per_image_texts = gr.Textbox(
|
| 510 |
-
label="Per-image TTS
|
| 511 |
-
placeholder="Line 1
|
|
|
|
|
|
|
|
|
|
|
|
|
| 512 |
)
|
| 513 |
|
| 514 |
with gr.Row():
|
|
@@ -517,7 +683,7 @@ def ui():
|
|
| 517 |
value="Coqui (VCTK multi-speaker)",
|
| 518 |
label="TTS backend"
|
| 519 |
)
|
| 520 |
-
tts_voice = gr.Dropdown(choices=[], label="Voice (for Coqui)")
|
| 521 |
voice_status = gr.Markdown("")
|
| 522 |
|
| 523 |
audio_gain_db = gr.Slider(
|
|
@@ -548,8 +714,10 @@ def ui():
|
|
| 548 |
sort_mode, shuffle_seed,
|
| 549 |
# single-story
|
| 550 |
story_text, match_video_to_narration,
|
| 551 |
-
# per-image
|
| 552 |
-
per_image_texts,
|
|
|
|
|
|
|
| 553 |
# tts
|
| 554 |
tts_backend, tts_voice,
|
| 555 |
audio_gain_db
|
|
@@ -560,9 +728,9 @@ def ui():
|
|
| 560 |
gr.Markdown(
|
| 561 |
"""
|
| 562 |
**Tips**
|
| 563 |
-
- *
|
| 564 |
-
- *
|
| 565 |
-
- *
|
| 566 |
"""
|
| 567 |
)
|
| 568 |
|
|
|
|
| 1 |
+
# app.py — Slideshow with per-image audio + multiline TTS per image + voice picker
|
| 2 |
+
# Works with MoviePy v2.x; falls back to v1 where possible. Python 3.9+ safe.
|
| 3 |
|
| 4 |
import os
|
| 5 |
+
import re
|
| 6 |
import tempfile
|
| 7 |
import random
|
| 8 |
from typing import Optional, List, Dict, Tuple
|
|
|
|
| 14 |
# ---- MoviePy imports with v2/v1 compatibility ----
|
| 15 |
MPY_V2 = False
|
| 16 |
afx = None # audio effects (v2)
|
| 17 |
+
_CompositeAudioClip = None
|
| 18 |
+
_concat_audios = None
|
| 19 |
|
| 20 |
try:
|
| 21 |
# v2.x preferred
|
| 22 |
+
from moviepy import (
|
| 23 |
+
ImageSequenceClip,
|
| 24 |
+
AudioFileClip,
|
| 25 |
+
ImageClip,
|
| 26 |
+
concatenate_videoclips,
|
| 27 |
+
)
|
| 28 |
try:
|
| 29 |
from moviepy import afx as _afx # type: ignore
|
| 30 |
afx = _afx
|
| 31 |
except Exception:
|
| 32 |
afx = None
|
| 33 |
+
try:
|
| 34 |
+
from moviepy import CompositeAudioClip as _CompositeAudioClip # type: ignore
|
| 35 |
+
except Exception:
|
| 36 |
+
_CompositeAudioClip = None
|
| 37 |
+
try:
|
| 38 |
+
from moviepy import concatenate_audioclips as _concat_audios # type: ignore
|
| 39 |
+
except Exception:
|
| 40 |
+
_concat_audios = None
|
| 41 |
MPY_V2 = True
|
| 42 |
except Exception:
|
| 43 |
# v1.x fallback
|
| 44 |
+
from moviepy.editor import (
|
| 45 |
+
ImageSequenceClip,
|
| 46 |
+
AudioFileClip,
|
| 47 |
+
ImageClip,
|
| 48 |
+
concatenate_videoclips,
|
| 49 |
+
CompositeAudioClip as _CompositeAudioClip, # type: ignore
|
| 50 |
+
concatenate_audioclips as _concat_audios, # type: ignore
|
| 51 |
+
)
|
| 52 |
MPY_V2 = False
|
| 53 |
|
| 54 |
|
|
|
|
| 85 |
return audio_clip
|
| 86 |
|
| 87 |
|
| 88 |
+
def concat_audios_or_composite(clips: List):
|
| 89 |
+
"""
|
| 90 |
+
Concatenate audio clips. Prefer built-in concatenator; otherwise composite
|
| 91 |
+
sequentially using start offsets to emulate concatenation.
|
| 92 |
+
"""
|
| 93 |
+
if not clips:
|
| 94 |
+
return None
|
| 95 |
+
if len(clips) == 1:
|
| 96 |
+
return clips[0]
|
| 97 |
+
if _concat_audios is not None:
|
| 98 |
+
try:
|
| 99 |
+
return _concat_audios(clips)
|
| 100 |
+
except Exception:
|
| 101 |
+
pass
|
| 102 |
+
# Fallback: sequential CompositeAudioClip
|
| 103 |
+
if _CompositeAudioClip is not None:
|
| 104 |
+
starts = []
|
| 105 |
+
total = 0.0
|
| 106 |
+
seq = []
|
| 107 |
+
for c in clips:
|
| 108 |
+
seq.append(c.set_start(total))
|
| 109 |
+
total += float(c.duration)
|
| 110 |
+
comp = _CompositeAudioClip(seq)
|
| 111 |
+
try:
|
| 112 |
+
comp = clip_with_duration(comp, total)
|
| 113 |
+
except Exception:
|
| 114 |
+
pass
|
| 115 |
+
return comp
|
| 116 |
+
# last resort
|
| 117 |
+
return clips[0]
|
| 118 |
+
|
| 119 |
+
|
| 120 |
# ---------- Image utilities ----------
|
| 121 |
|
| 122 |
def load_and_fit_image(path: str, width: int, height: int, fit: str = "contain", bg: str = "#000000") -> np.ndarray:
|
| 123 |
"""
|
| 124 |
Loads an image file and returns an RGB numpy array with exact (height, width, 3).
|
| 125 |
+
fit:
|
| 126 |
+
- "contain": letterbox to fit within target size (keeps aspect), background fills rest.
|
| 127 |
- "cover": fill target size (keeps aspect) with center crop.
|
| 128 |
- "stretch": distort to target size.
|
| 129 |
"""
|
|
|
|
| 140 |
if fit == "cover":
|
| 141 |
# scale to cover, then center-crop
|
| 142 |
if src_aspect > target_aspect:
|
|
|
|
| 143 |
new_h = height
|
| 144 |
new_w = int(round(src_aspect * new_h))
|
| 145 |
else:
|
|
|
|
| 146 |
new_w = width
|
| 147 |
new_h = int(round(new_w / src_aspect))
|
| 148 |
img = img.resize((new_w, new_h), Image.LANCZOS)
|
|
|
|
| 166 |
return np.array(canvas)
|
| 167 |
|
| 168 |
|
|
|
|
| 169 |
# ---------- TTS backends ----------
|
| 170 |
|
| 171 |
_TTS_CACHE: Dict[str, object] = {}
|
|
|
|
| 191 |
try:
|
| 192 |
tts = _get_tts_backend(backend_name)
|
| 193 |
spks = list(getattr(tts, "speakers", []))
|
| 194 |
+
# Bring a common male voice to the top if present
|
| 195 |
+
for pref in ["p225", "p226", "p233", "p243"]:
|
| 196 |
+
if pref in spks:
|
| 197 |
+
spks.remove(pref)
|
| 198 |
+
spks.insert(0, pref)
|
|
|
|
|
|
|
| 199 |
break
|
| 200 |
+
return sorted(spks) if not spks or spks[0] != "p225" else spks
|
| 201 |
except Exception:
|
| 202 |
return []
|
| 203 |
return []
|
|
|
|
| 211 |
if backend_name == "Coqui (VCTK multi-speaker)":
|
| 212 |
try:
|
| 213 |
tts = _get_tts_backend(backend_name)
|
|
|
|
| 214 |
if not out_path.lower().endswith(".wav"):
|
| 215 |
out_path = os.path.splitext(out_path)[0] + ".wav"
|
| 216 |
tts.tts_to_file(text=text, speaker=voice, file_path=out_path)
|
|
|
|
| 218 |
except Exception:
|
| 219 |
return None
|
| 220 |
|
|
|
|
| 221 |
if backend_name == "gTTS (simple)":
|
| 222 |
try:
|
| 223 |
from gtts import gTTS
|
|
|
|
| 231 |
return None
|
| 232 |
|
| 233 |
|
| 234 |
+
# ---------- Text parsing for multiline-per-image ----------
|
| 235 |
|
| 236 |
+
def parse_multiline_blocks(text: str, expected_images: int) -> List[List[str]]:
|
| 237 |
"""
|
| 238 |
+
Split text into blocks by blank lines. Each block = one image.
|
| 239 |
+
Within a block, each non-empty line is a separate TTS segment.
|
| 240 |
"""
|
| 241 |
+
if not (text or "").strip():
|
| 242 |
+
return [[] for _ in range(expected_images)]
|
| 243 |
+
blocks = [b.strip() for b in re.split(r"\n\s*\n", text.strip()) if b.strip()]
|
| 244 |
+
# Pad/trim to match number of images
|
| 245 |
+
if len(blocks) < expected_images:
|
| 246 |
+
blocks += [""] * (expected_images - len(blocks))
|
| 247 |
+
elif len(blocks) > expected_images:
|
| 248 |
+
blocks = blocks[:expected_images]
|
| 249 |
+
result = []
|
| 250 |
+
for b in blocks:
|
| 251 |
+
lines = [ln.strip() for ln in b.splitlines() if ln.strip()]
|
| 252 |
+
result.append(lines)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 253 |
return result
|
| 254 |
|
| 255 |
|
| 256 |
+
# ---------- Build audio for each image from multiple lines ----------
|
| 257 |
+
|
| 258 |
+
def build_audio_for_image_lines(
|
| 259 |
+
lines: List[str],
|
| 260 |
+
tts_backend: str,
|
| 261 |
+
default_voice: Optional[str],
|
| 262 |
+
audio_gain_db: float,
|
| 263 |
+
tmp_dir: str
|
| 264 |
+
):
|
| 265 |
+
"""
|
| 266 |
+
For a single image:
|
| 267 |
+
- Generate TTS for each line (respect 'speaker| text' override).
|
| 268 |
+
- Concatenate segments.
|
| 269 |
+
- Apply gain to the final track.
|
| 270 |
+
- Return (audio_clip, total_duration) or (None, 0.0) if no audio.
|
| 271 |
+
"""
|
| 272 |
+
segments = []
|
| 273 |
+
for idx, raw in enumerate(lines):
|
| 274 |
+
voice = default_voice
|
| 275 |
+
text = raw
|
| 276 |
+
if "|" in raw and tts_backend.startswith("Coqui"):
|
| 277 |
+
spk, txt = raw.split("|", 1)
|
| 278 |
+
if txt.strip():
|
| 279 |
+
text = txt.strip()
|
| 280 |
+
if spk.strip():
|
| 281 |
+
voice = spk.strip()
|
| 282 |
+
# Synthesize this line
|
| 283 |
+
out_p = os.path.join(tmp_dir, f"tts_seg_{random.randint(1, 1_000_000)}_{idx}.wav")
|
| 284 |
+
gen = synth_tts_to_file(text, tts_backend, voice, out_p)
|
| 285 |
+
if gen and os.path.exists(gen):
|
| 286 |
+
try:
|
| 287 |
+
seg = AudioFileClip(gen)
|
| 288 |
+
segments.append(seg)
|
| 289 |
+
except Exception:
|
| 290 |
+
pass
|
| 291 |
+
|
| 292 |
+
if not segments:
|
| 293 |
+
return None, 0.0
|
| 294 |
+
|
| 295 |
+
combined = concat_audios_or_composite(segments)
|
| 296 |
+
if combined is None:
|
| 297 |
+
return None, 0.0
|
| 298 |
+
|
| 299 |
+
# Apply gain on the final composite if needed
|
| 300 |
+
gain = 10 ** (float(audio_gain_db) / 20.0) if audio_gain_db else 1.0
|
| 301 |
+
if abs(gain - 1.0) > 1e-3:
|
| 302 |
+
combined = apply_linear_gain(combined, gain)
|
| 303 |
+
|
| 304 |
+
total = float(combined.duration)
|
| 305 |
+
return combined, total
|
| 306 |
+
|
| 307 |
+
|
| 308 |
+
# ---------- Variable-duration video (per-image) ----------
|
| 309 |
|
| 310 |
def build_variable_duration_video(
|
| 311 |
frames: List[np.ndarray],
|
| 312 |
per_image_durations: List[float],
|
| 313 |
+
per_image_audios: List[Optional[object]], # AudioFileClip or CompositeAudioClip
|
|
|
|
| 314 |
):
|
| 315 |
"""
|
| 316 |
Create a video where each image has its own duration and optional audio.
|
| 317 |
"""
|
| 318 |
clips = []
|
| 319 |
+
for frame, dur, aclip in zip(frames, per_image_durations, per_image_audios):
|
| 320 |
iclip = ImageClip(frame)
|
| 321 |
+
iclip = clip_with_duration(iclip, float(max(0.05, dur)))
|
| 322 |
+
if aclip is not None:
|
| 323 |
try:
|
|
|
|
|
|
|
|
|
|
|
|
|
| 324 |
iclip = clip_with_audio(iclip, aclip)
|
| 325 |
except Exception:
|
| 326 |
pass
|
| 327 |
clips.append(iclip)
|
| 328 |
|
|
|
|
| 329 |
final = concatenate_videoclips(clips, method="compose")
|
| 330 |
return final
|
| 331 |
|
| 332 |
|
| 333 |
+
# ---------- Main create function ----------
|
| 334 |
+
|
| 335 |
def create_slideshow(
|
| 336 |
image_files: List,
|
| 337 |
+
|
| 338 |
+
narration_mode: str, # "None" | "Single story" | "Per-image (files)" | "Per-image (TTS per line)" | "Per-image (TTS multiline per image)"
|
| 339 |
seconds_per_image: float,
|
| 340 |
width: int,
|
| 341 |
height: int,
|
|
|
|
| 349 |
match_video_to_narration: bool,
|
| 350 |
|
| 351 |
# per-image inputs
|
| 352 |
+
per_image_texts: str, # one line per image
|
| 353 |
+
per_image_multiline_blocks: str, # blocks separated by blank lines
|
| 354 |
per_image_audio_files: List, # uploaded audio files
|
| 355 |
+
sync_per_image_audio: bool, # NEW: sync duration to audio for per-image modes
|
| 356 |
|
| 357 |
# TTS config
|
| 358 |
tts_backend: str,
|
|
|
|
| 383 |
# Load frames
|
| 384 |
width = int(width); height = int(height)
|
| 385 |
frames = [load_and_fit_image(p, width, height, fit=fit_mode, bg=bg_color) for p in paths]
|
| 386 |
+
num_images = len(frames)
|
| 387 |
|
|
|
|
| 388 |
out_path = os.path.join(tempfile.gettempdir(), "slideshow_output.mp4")
|
| 389 |
|
| 390 |
# --- Per-image AUDIO FILES ---
|
|
|
|
| 397 |
aud_paths.append(ap)
|
| 398 |
aud_paths = sorted(aud_paths, key=lambda p: os.path.basename(p).lower())
|
| 399 |
|
| 400 |
+
# Basename match, then index fallback
|
| 401 |
+
def map_audio_to_images_by_name(image_paths: List[str], audio_paths: List[str]) -> List[Optional[str]]:
|
| 402 |
+
result = [None] * len(image_paths)
|
| 403 |
+
if not audio_paths:
|
| 404 |
+
return result
|
| 405 |
+
audio_map = {}
|
| 406 |
+
for a in audio_paths:
|
| 407 |
+
base = os.path.splitext(os.path.basename(a))[0].lower()
|
| 408 |
+
audio_map[base] = a
|
| 409 |
+
used = set()
|
| 410 |
+
for i, ip in enumerate(image_paths):
|
| 411 |
+
base = os.path.splitext(os.path.basename(ip))[0].lower()
|
| 412 |
+
if base in audio_map:
|
| 413 |
+
result[i] = audio_map[base]; used.add(audio_map[base])
|
| 414 |
+
leftover = [a for a in audio_paths if a not in used]
|
| 415 |
+
for i in range(len(image_paths)):
|
| 416 |
+
if result[i] is None and leftover:
|
| 417 |
+
result[i] = leftover.pop(0)
|
| 418 |
+
return result
|
| 419 |
+
|
| 420 |
+
per_img_audio_paths = map_audio_to_images_by_name(paths, aud_paths)
|
| 421 |
+
|
| 422 |
+
per_img_audios = []
|
| 423 |
+
per_img_durs = []
|
| 424 |
+
for ap in per_img_audio_paths:
|
| 425 |
if ap:
|
| 426 |
try:
|
| 427 |
aclip = AudioFileClip(ap)
|
| 428 |
+
per_img_audios.append(aclip)
|
| 429 |
+
per_img_durs.append(float(aclip.duration) if sync_per_image_audio else float(seconds_per_image))
|
| 430 |
except Exception:
|
| 431 |
+
per_img_audios.append(None)
|
| 432 |
+
per_img_durs.append(float(seconds_per_image))
|
| 433 |
else:
|
| 434 |
+
per_img_audios.append(None)
|
| 435 |
+
per_img_durs.append(float(seconds_per_image))
|
|
|
|
| 436 |
|
| 437 |
+
final_clip = build_variable_duration_video(frames, per_img_durs, per_img_audios)
|
| 438 |
final_clip.write_videofile(
|
| 439 |
out_path,
|
| 440 |
codec="libx264",
|
|
|
|
| 445 |
)
|
| 446 |
return out_path, "Done! Per-image audio applied."
|
| 447 |
|
| 448 |
+
# --- Per-image TTS per single line (legacy one-line-per-image) ---
|
| 449 |
if narration_mode == "Per-image (TTS per line)" and per_image_texts.strip():
|
| 450 |
lines = [ln.strip() for ln in per_image_texts.splitlines()]
|
| 451 |
# Pad / trim to image count
|
| 452 |
+
if len(lines) < num_images:
|
| 453 |
+
lines += [""] * (num_images - len(lines))
|
| 454 |
else:
|
| 455 |
+
lines = lines[:num_images]
|
| 456 |
|
|
|
|
| 457 |
tmp_dir = tempfile.gettempdir()
|
| 458 |
+
per_img_audios = []
|
| 459 |
+
per_img_durs = []
|
| 460 |
+
|
| 461 |
for idx, text in enumerate(lines):
|
| 462 |
voice = tts_voice
|
|
|
|
| 463 |
if "|" in text and tts_backend.startswith("Coqui"):
|
| 464 |
maybe_speaker, maybe_text = text.split("|", 1)
|
| 465 |
if maybe_text.strip():
|
|
|
|
| 473 |
gen = synth_tts_to_file(text, tts_backend, voice, apath)
|
| 474 |
apath = gen if gen and os.path.exists(gen) else None
|
| 475 |
|
|
|
|
| 476 |
if apath:
|
| 477 |
try:
|
| 478 |
aclip = AudioFileClip(apath)
|
| 479 |
+
per_img_audios.append(aclip)
|
| 480 |
+
per_img_durs.append(float(aclip.duration) if sync_per_image_audio else float(seconds_per_image))
|
| 481 |
except Exception:
|
| 482 |
+
per_img_audios.append(None)
|
| 483 |
+
per_img_durs.append(float(seconds_per_image))
|
| 484 |
else:
|
| 485 |
+
per_img_audios.append(None)
|
| 486 |
+
per_img_durs.append(float(seconds_per_image))
|
| 487 |
|
| 488 |
+
final_clip = build_variable_duration_video(frames, per_img_durs, per_img_audios)
|
| 489 |
+
final_clip.write_videofile(
|
| 490 |
+
out_path,
|
| 491 |
+
codec="libx264",
|
| 492 |
+
audio_codec="aac",
|
| 493 |
+
fps=24,
|
| 494 |
+
preset="medium",
|
| 495 |
+
threads=max(1, (os.cpu_count() or 2) // 2),
|
| 496 |
+
)
|
| 497 |
+
return out_path, "Done! Per-image TTS (single line) applied."
|
| 498 |
+
|
| 499 |
+
# --- NEW: Per-image TTS multiline per image ---
|
| 500 |
+
if narration_mode == "Per-image (TTS multiline per image)" and per_image_multiline_blocks.strip():
|
| 501 |
+
blocks = parse_multiline_blocks(per_image_multiline_blocks, num_images)
|
| 502 |
+
tmp_dir = tempfile.gettempdir()
|
| 503 |
+
|
| 504 |
+
per_img_audios = []
|
| 505 |
+
per_img_durs = []
|
| 506 |
+
|
| 507 |
+
for idx, lines in enumerate(blocks):
|
| 508 |
+
if not lines:
|
| 509 |
+
per_img_audios.append(None)
|
| 510 |
+
per_img_durs.append(float(seconds_per_image))
|
| 511 |
+
continue
|
| 512 |
+
|
| 513 |
+
aclip, total = build_audio_for_image_lines(
|
| 514 |
+
lines=lines,
|
| 515 |
+
tts_backend=tts_backend,
|
| 516 |
+
default_voice=tts_voice,
|
| 517 |
+
audio_gain_db=audio_gain_db,
|
| 518 |
+
tmp_dir=tmp_dir
|
| 519 |
+
)
|
| 520 |
+
|
| 521 |
+
if aclip is not None:
|
| 522 |
+
per_img_audios.append(aclip)
|
| 523 |
+
per_img_durs.append(float(total) if sync_per_image_audio else float(seconds_per_image))
|
| 524 |
+
else:
|
| 525 |
+
per_img_audios.append(None)
|
| 526 |
+
per_img_durs.append(float(seconds_per_image))
|
| 527 |
|
| 528 |
+
final_clip = build_variable_duration_video(frames, per_img_durs, per_img_audios)
|
| 529 |
final_clip.write_videofile(
|
| 530 |
out_path,
|
| 531 |
codec="libx264",
|
|
|
|
| 534 |
preset="medium",
|
| 535 |
threads=max(1, (os.cpu_count() or 2) // 2),
|
| 536 |
)
|
| 537 |
+
return out_path, "Done! Per-image multiline TTS applied."
|
| 538 |
|
| 539 |
# --- Single story (one track) ---
|
| 540 |
if narration_mode == "Single story" and story_text.strip():
|
|
|
|
| 601 |
|
| 602 |
|
| 603 |
def ui():
|
| 604 |
+
with gr.Blocks(title="Slideshow + Per-Image Audio + Multiline TTS + Voice Picker", theme=gr.themes.Soft()) as demo:
|
| 605 |
gr.Markdown(
|
| 606 |
"""
|
| 607 |
# 🖼️ → 🎬 Slideshow Maker
|
| 608 |
+
- **Per-image audio**: upload audio files, one (or more) per image (matched by filename or order).
|
| 609 |
+
- **Per-image TTS (multiline)**: write blocks separated by **blank lines**; lines inside a block are spoken sequentially for that image.
|
| 610 |
+
- **TTS voices**: pick from **Coqui VCTK** multi-speaker voices (male/female) or use gTTS as a lightweight fallback.
|
| 611 |
"""
|
| 612 |
)
|
| 613 |
|
|
|
|
| 626 |
shuffle_seed = gr.Number(value=0, precision=0, label="Shuffle Seed (integer)")
|
| 627 |
|
| 628 |
seconds_per_image = gr.Slider(
|
| 629 |
+
minimum=0.1, maximum=10.0, step=0.1, value=1.5,
|
| 630 |
+
label="Seconds per Image (used when not syncing to audio)"
|
| 631 |
)
|
| 632 |
|
| 633 |
with gr.Row():
|
|
|
|
| 639 |
|
| 640 |
with gr.Column(scale=1):
|
| 641 |
narration_mode = gr.Radio(
|
| 642 |
+
["None",
|
| 643 |
+
"Single story",
|
| 644 |
+
"Per-image (files)",
|
| 645 |
+
"Per-image (TTS per line)",
|
| 646 |
+
"Per-image (TTS multiline per image)"],
|
| 647 |
value="None",
|
| 648 |
label="Narration mode"
|
| 649 |
)
|
| 650 |
+
|
| 651 |
# Single-story UI
|
| 652 |
story_text = gr.Textbox(
|
| 653 |
label="Story (Single track narration)",
|
|
|
|
| 657 |
value=True, label="Match video duration to narration length (single-story)"
|
| 658 |
)
|
| 659 |
|
| 660 |
+
# Per-image UI (files)
|
| 661 |
per_image_audio_files = gr.Files(
|
| 662 |
label="Per-image audio files (optional) — matched by filename or order",
|
| 663 |
file_count="multiple",
|
| 664 |
file_types=["audio"]
|
| 665 |
)
|
| 666 |
+
sync_per_image_audio = gr.Checkbox(
|
| 667 |
+
value=True, label="Sync image to audio duration (per-image modes)"
|
| 668 |
+
)
|
| 669 |
+
|
| 670 |
+
# Per-image UI (text)
|
| 671 |
per_image_texts = gr.Textbox(
|
| 672 |
+
label="Per-image TTS (one line per image)",
|
| 673 |
+
placeholder="Line 1 (image 1)\nLine 2 (image 2)\n..."
|
| 674 |
+
)
|
| 675 |
+
per_image_multiline_blocks = gr.Textbox(
|
| 676 |
+
label="Per-image TTS (multiline): blocks separated by blank lines; use 'speaker| text' to override",
|
| 677 |
+
placeholder="p225| First line for image 1\nSecond line for image 1\n\nLine 1 for image 2\nLine 2 for image 2\n..."
|
| 678 |
)
|
| 679 |
|
| 680 |
with gr.Row():
|
|
|
|
| 683 |
value="Coqui (VCTK multi-speaker)",
|
| 684 |
label="TTS backend"
|
| 685 |
)
|
| 686 |
+
tts_voice = gr.Dropdown(choices=[], label="Default Voice (for Coqui)")
|
| 687 |
voice_status = gr.Markdown("")
|
| 688 |
|
| 689 |
audio_gain_db = gr.Slider(
|
|
|
|
| 714 |
sort_mode, shuffle_seed,
|
| 715 |
# single-story
|
| 716 |
story_text, match_video_to_narration,
|
| 717 |
+
# per-image text
|
| 718 |
+
per_image_texts, per_image_multiline_blocks,
|
| 719 |
+
# per-image files
|
| 720 |
+
per_image_audio_files, sync_per_image_audio,
|
| 721 |
# tts
|
| 722 |
tts_backend, tts_voice,
|
| 723 |
audio_gain_db
|
|
|
|
| 728 |
gr.Markdown(
|
| 729 |
"""
|
| 730 |
**Tips**
|
| 731 |
+
- *Multiline per image*: separate image blocks with a **blank line**. Within each block, lines are spoken in order.
|
| 732 |
+
- *Coqui per-line speaker*: prefix a line with `speaker| text`, e.g., `p225| Hello there`.
|
| 733 |
+
- *Sync option*: turn it on to make each image stay up for the full duration of its own audio.
|
| 734 |
"""
|
| 735 |
)
|
| 736 |
|