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.gradio/certificate.pem ADDED
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+ -----BEGIN CERTIFICATE-----
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+ -----END CERTIFICATE-----
README.md ADDED
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1
+ # AI Multi-Modal Assistant
2
+
3
+ ## Overview
4
+ A web-based AI assistant that can analyze **text** and **images**, providing:
5
+ - Text sentiment analysis
6
+ - Text summarization
7
+ - Keyword extraction
8
+ - Image classification with human-readable labels
9
+ - Downloadable PDF reports
10
+
11
+ Built with **Gradio**, **PyTorch**, and **Hugging Face Transformers**.
12
+
13
+ ## Features
14
+ - Multi-modal input (text or image)
15
+ - Interactive UI with tabs
16
+ - PDF report generation
17
+ - Deployable online via Hugging Face Spaces
18
+
19
+ ## How to Run Locally
20
+
21
+ 1. Clone the repository
22
+ ```bash
23
+ git clone <repo-url>
24
+ cd AI-MultiModal-Assistant
app.py ADDED
@@ -0,0 +1,174 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # ------------------------------
2
+ # AI Multi‑Modal Assistant — Enhanced Version
3
+ # ------------------------------
4
+
5
+ import gradio as gr
6
+ from transformers import pipeline
7
+ from PIL import Image
8
+ import torch
9
+ from torchvision import models, transforms
10
+ import pandas as pd
11
+ from reportlab.lib.pagesizes import letter
12
+ from reportlab.pdfgen import canvas
13
+ import io
14
+ import yake # keyword extraction
15
+ import tempfile
16
+
17
+ # ------------------------------
18
+ # 1. Load Models & Labels
19
+ # ------------------------------
20
+
21
+ # NLP pipelines
22
+ sentiment_model = pipeline(
23
+ "sentiment-analysis",
24
+ model="distilbert/distilbert-base-uncased-finetuned-sst-2-english",
25
+ )
26
+
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+
28
+ # Summarization Model
29
+ summarizer_model = pipeline("summarization", model="facebook/bart-large-cnn")
30
+
31
+ # Image classification model
32
+ image_model = models.resnet50(pretrained=True)
33
+ image_model.eval()
34
+ preprocess = transforms.Compose(
35
+ [
36
+ transforms.Resize(256),
37
+ transforms.CenterCrop(224),
38
+ transforms.ToTensor(),
39
+ transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
40
+ ]
41
+ )
42
+
43
+ # Load ImageNet class labels mapping
44
+ imagenet_labels = []
45
+ with open("imagenet_classes.txt", "r") as f: # ensure this file is in your folder
46
+ imagenet_labels = [s.strip() for s in f.readlines()]
47
+
48
+ # Keyword extraction
49
+ kw_extractor = yake.KeywordExtractor(lan="en", top=5)
50
+
51
+ # ------------------------------
52
+ # 2. Helper Functions
53
+ # ------------------------------
54
+
55
+
56
+ def analyze_text(text: str) -> dict:
57
+ sentiment = sentiment_model(text)[0]
58
+ summary = summarizer_model(
59
+ text, max_length=min(len(text.split()) + 10, 50), min_length=5
60
+ )[0]["summary_text"]
61
+ keywords = [kw for kw, score in kw_extractor.extract_keywords(text)]
62
+ return {
63
+ "Sentiment": sentiment["label"],
64
+ "Sentiment Score": round(sentiment["score"], 3),
65
+ "Summary": summary,
66
+ "Keywords": keywords,
67
+ }
68
+
69
+
70
+ def analyze_image(image: Image.Image) -> dict:
71
+ img_t = preprocess(image).unsqueeze(0)
72
+ with torch.no_grad():
73
+ outputs = image_model(img_t)
74
+ class_idx = outputs.argmax().item()
75
+ if 0 <= class_idx < len(imagenet_labels):
76
+ class_label = imagenet_labels[class_idx]
77
+ else:
78
+ class_label = f"Class index {class_idx}"
79
+ return {"Predicted Class Index": class_idx, "Predicted Class Label": class_label}
80
+
81
+
82
+ def generate_pdf(results: dict) -> str:
83
+ buffer = io.BytesIO()
84
+ c = canvas.Canvas(buffer, pagesize=letter)
85
+ c.setFont("Helvetica", 12)
86
+ c.drawString(50, 750, "AI Multi-Modal Assistant Report")
87
+
88
+ y = 720
89
+ for key, value in results.items():
90
+ c.drawString(50, y, f"{key}: {value}")
91
+ y -= 20
92
+ if y < 60:
93
+ c.showPage()
94
+ y = 750
95
+
96
+ c.save()
97
+ buffer.seek(0)
98
+
99
+ # ✅ Save to a temp file and return path instead of buffer
100
+ with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp:
101
+ tmp.write(buffer.getvalue())
102
+ tmp_path = tmp.name
103
+
104
+ return tmp_path # ✅ returns file path (Gradio-friendly)
105
+
106
+
107
+ # ------------------------------
108
+ # 3. Multi‑Modal Analysis Function
109
+ # ------------------------------
110
+ def analyze(input_data):
111
+ # Handles both text and image correctly in Gradio
112
+ if isinstance(input_data, str) and input_data.strip():
113
+ return analyze_text(input_data)
114
+ elif isinstance(input_data, dict) and "image" in input_data:
115
+ return analyze_image(input_data["image"])
116
+ elif isinstance(input_data, Image.Image):
117
+ return analyze_image(input_data)
118
+ else:
119
+ return {"Error": "Please enter text or upload an image."}
120
+
121
+
122
+ # ------------------------------
123
+ # 4. Gradio UI Layout
124
+ # ------------------------------
125
+
126
+ with gr.Blocks() as demo:
127
+ gr.Markdown("## AI Multi‑Modal Assistant")
128
+
129
+ with gr.Tab("Image Analysis"):
130
+ image_input = gr.Image(type="pil", label="Upload an image for classification")
131
+ analyze_image_button = gr.Button("Analyze Image") # ✅ MOVED INSIDE the tab
132
+
133
+ image_output = gr.JSON(label="Image Analysis Results")
134
+ pdf_button_image = gr.Button("Download Report (PDF)")
135
+
136
+ analyze_image_button.click(fn=analyze, inputs=image_input, outputs=image_output)
137
+
138
+ pdf_button_image.click(
139
+ fn=lambda x: generate_pdf(analyze(x)),
140
+ inputs=image_input,
141
+ outputs=gr.File(label="Download PDF Report"),
142
+ )
143
+
144
+
145
+ with gr.Tab("Text Analysis"):
146
+ text_input = gr.Textbox(
147
+ label="Enter text to analyze",
148
+ placeholder="Type your text here...",
149
+ lines=5
150
+ )
151
+
152
+ analyze_text_button = gr.Button("Analyze Text")
153
+ text_output = gr.JSON(label="Text Analysis Results")
154
+ pdf_button_text = gr.Button("Download Report (PDF)")
155
+
156
+ # Text analysis events
157
+
158
+ analyze_text_button.click(
159
+ fn=analyze,
160
+ inputs=text_input,
161
+ outputs=text_output
162
+ )
163
+
164
+ pdf_button_text.click(
165
+ fn=lambda x: generate_pdf(analyze(x)),
166
+ inputs=text_input,
167
+ outputs=gr.File(label="Download PDF Report")
168
+ )
169
+
170
+
171
+ # ------------------------------
172
+ # 5. Launch the App
173
+ # ------------------------------
174
+ demo.launch(share=True)
imagenet_classes.txt ADDED
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+ tench
2
+ goldfish
3
+ great white shark
4
+ tiger shark
5
+ hammerhead
6
+ electric ray
7
+ stingray
8
+ cock
9
+ hen
10
+ ostrich
11
+ brambling
12
+ goldfinch
13
+ house finch
14
+ junco
15
+ indigo bunting
16
+ robin
17
+ bulbul
18
+ jay
19
+ magpie
20
+ chickadee
21
+ water ouzel
22
+ kite
23
+ bald eagle
24
+ vulture
25
+ great grey owl
26
+ European fire salamander
27
+ common newt
28
+ eft
29
+ spotted salamander
30
+ axolotl
31
+ bullfrog
32
+ tree frog
33
+ tailed frog
34
+ loggerhead
35
+ leatherback turtle
36
+ mud turtle
37
+ terrapin
38
+ box turtle
39
+ banded gecko
40
+ common iguana
41
+ American chameleon
42
+ whiptail
43
+ agama
44
+ frilled lizard
45
+ alligator lizard
46
+ Gila monster
47
+ green lizard
48
+ African chameleon
49
+ Komodo dragon
50
+ African crocodile
51
+ American alligator
52
+ triceratops
53
+ thunder snake
54
+ ringneck snake
55
+ hognose snake
56
+ green snake
57
+ king snake
58
+ garter snake
59
+ water snake
60
+ vine snake
61
+ night snake
62
+ boa constrictor
63
+ rock python
64
+ Indian cobra
65
+ green mamba
66
+ sea snake
67
+ horned viper
68
+ diamondback
69
+ sidewinder
70
+ trilobite
71
+ harvestman
72
+ scorpion
73
+ black and gold garden spider
74
+ barn spider
75
+ garden spider
76
+ black widow
77
+ tarantula
78
+ wolf spider
79
+ tick
80
+ centipede
81
+ black grouse
82
+ ptarmigan
83
+ ruffed grouse
84
+ prairie chicken
85
+ peacock
86
+ quail
87
+ partridge
88
+ African grey
89
+ macaw
90
+ sulphur-crested cockatoo
91
+ lorikeet
92
+ coucal
93
+ bee eater
94
+ hornbill
95
+ hummingbird
96
+ jacamar
97
+ toucan
98
+ drake
99
+ red-breasted merganser
100
+ goose
101
+ black swan
102
+ tusker
103
+ echidna
104
+ platypus
105
+ wallaby
106
+ koala
107
+ wombat
108
+ jellyfish
109
+ sea anemone
110
+ brain coral
111
+ flatworm
112
+ nematode
113
+ conch
114
+ snail
115
+ slug
116
+ sea slug
117
+ chiton
118
+ chambered nautilus
119
+ Dungeness crab
120
+ rock crab
121
+ fiddler crab
122
+ king crab
123
+ American lobster
124
+ spiny lobster
125
+ crayfish
126
+ hermit crab
127
+ isopod
128
+ white stork
129
+ black stork
130
+ spoonbill
131
+ flamingo
132
+ little blue heron
133
+ American egret
134
+ bittern
135
+ crane
136
+ limpkin
137
+ European gallinule
138
+ American coot
139
+ bustard
140
+ ruddy turnstone
141
+ red-backed sandpiper
142
+ redshank
143
+ dowitcher
144
+ oystercatcher
145
+ pelican
146
+ king penguin
147
+ albatross
148
+ grey whale
149
+ killer whale
150
+ dugong
151
+ sea lion
152
+ Chihuahua
153
+ Japanese spaniel
154
+ Maltese dog
155
+ Pekinese
156
+ Shih-Tzu
157
+ Blenheim spaniel
158
+ papillon
159
+ toy terrier
160
+ Rhodesian ridgeback
161
+ Afghan hound
162
+ basset
163
+ beagle
164
+ bloodhound
165
+ bluetick
166
+ black-and-tan coonhound
167
+ Walker hound
168
+ English foxhound
169
+ redbone
170
+ borzoi
171
+ Irish wolfhound
172
+ Italian greyhound
173
+ whippet
174
+ Ibizan hound
175
+ Norwegian elkhound
176
+ otterhound
177
+ Saluki
178
+ Scottish deerhound
179
+ Weimaraner
180
+ Staffordshire bullterrier
181
+ American Staffordshire terrier
182
+ Bedlington terrier
183
+ Border terrier
184
+ Kerry blue terrier
185
+ Irish terrier
186
+ Norfolk terrier
187
+ Norwich terrier
188
+ Yorkshire terrier
189
+ wire-haired fox terrier
190
+ Lakeland terrier
191
+ Sealyham terrier
192
+ Airedale
193
+ cairn
194
+ Australian terrier
195
+ Dandie Dinmont
196
+ Boston bull
197
+ miniature schnauzer
198
+ giant schnauzer
199
+ standard schnauzer
200
+ Scotch terrier
201
+ Tibetan terrier
202
+ silky terrier
203
+ soft-coated wheaten terrier
204
+ West Highland white terrier
205
+ Lhasa
206
+ flat-coated retriever
207
+ curly-coated retriever
208
+ golden retriever
209
+ Labrador retriever
210
+ Chesapeake Bay retriever
211
+ German short-haired pointer
212
+ vizsla
213
+ English setter
214
+ Irish setter
215
+ Gordon setter
216
+ Brittany spaniel
217
+ clumber
218
+ English springer
219
+ Welsh springer spaniel
220
+ cocker spaniel
221
+ Sussex spaniel
222
+ Irish water spaniel
223
+ kuvasz
224
+ schipperke
225
+ groenendael
226
+ malinois
227
+ briard
228
+ kelpie
229
+ komondor
230
+ Old English sheepdog
231
+ Shetland sheepdog
232
+ collie
233
+ Border collie
234
+ Bouvier des Flandres
235
+ Rottweiler
236
+ German shepherd
237
+ Doberman
238
+ miniature pinscher
239
+ Greater Swiss Mountain dog
240
+ Bernese mountain dog
241
+ Appenzeller
242
+ EntleBucher
243
+ boxer
244
+ bull mastiff
245
+ Tibetan mastiff
246
+ French bulldog
247
+ Great Dane
248
+ Saint Bernard
249
+ Eskimo dog
250
+ malamute
251
+ Siberian husky
252
+ dalmatian
253
+ affenpinscher
254
+ basenji
255
+ pug
256
+ Leonberg
257
+ Newfoundland
258
+ Great Pyrenees
259
+ Samoyed
260
+ Pomeranian
261
+ chow
262
+ keeshond
263
+ Brabancon griffon
264
+ Pembroke
265
+ Cardigan
266
+ toy poodle
267
+ miniature poodle
268
+ standard poodle
269
+ Mexican hairless
270
+ timber wolf
271
+ white wolf
272
+ red wolf
273
+ coyote
274
+ dingo
275
+ dhole
276
+ African hunting dog
277
+ hyena
278
+ red fox
279
+ kit fox
280
+ Arctic fox
281
+ grey fox
282
+ tabby
283
+ tiger cat
284
+ Persian cat
285
+ Siamese cat
286
+ Egyptian cat
287
+ cougar
288
+ lynx
289
+ leopard
290
+ snow leopard
291
+ jaguar
292
+ lion
293
+ tiger
294
+ cheetah
295
+ brown bear
296
+ American black bear
297
+ ice bear
298
+ sloth bear
299
+ mongoose
300
+ meerkat
301
+ tiger beetle
302
+ ladybug
303
+ ground beetle
304
+ long-horned beetle
305
+ leaf beetle
306
+ dung beetle
307
+ rhinoceros beetle
308
+ weevil
309
+ fly
310
+ bee
311
+ ant
312
+ grasshopper
313
+ cricket
314
+ walking stick
315
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316
+ mantis
317
+ cicada
318
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319
+ lacewing
320
+ dragonfly
321
+ damselfly
322
+ admiral
323
+ ringlet
324
+ monarch
325
+ cabbage butterfly
326
+ sulphur butterfly
327
+ lycaenid
328
+ starfish
329
+ sea urchin
330
+ sea cucumber
331
+ wood rabbit
332
+ hare
333
+ Angora
334
+ hamster
335
+ porcupine
336
+ fox squirrel
337
+ marmot
338
+ beaver
339
+ guinea pig
340
+ sorrel
341
+ zebra
342
+ hog
343
+ wild boar
344
+ warthog
345
+ hippopotamus
346
+ ox
347
+ water buffalo
348
+ bison
349
+ ram
350
+ bighorn
351
+ ibex
352
+ hartebeest
353
+ impala
354
+ gazelle
355
+ Arabian camel
356
+ llama
357
+ weasel
358
+ mink
359
+ polecat
360
+ black-footed ferret
361
+ otter
362
+ skunk
363
+ badger
364
+ armadillo
365
+ three-toed sloth
366
+ orangutan
367
+ gorilla
368
+ chimpanzee
369
+ gibbon
370
+ siamang
371
+ guenon
372
+ patas
373
+ baboon
374
+ macaque
375
+ langur
376
+ colobus
377
+ proboscis monkey
378
+ marmoset
379
+ capuchin
380
+ howler monkey
381
+ titi
382
+ spider monkey
383
+ squirrel monkey
384
+ Madagascar cat
385
+ indri
386
+ Indian elephant
387
+ African elephant
388
+ lesser panda
389
+ giant panda
390
+ barracouta
391
+ eel
392
+ coho
393
+ rock beauty
394
+ anemone fish
395
+ sturgeon
396
+ gar
397
+ lionfish
398
+ puffer
399
+ abacus
400
+ abaya
401
+ academic gown
402
+ accordion
403
+ acoustic guitar
404
+ aircraft carrier
405
+ airliner
406
+ airship
407
+ altar
408
+ ambulance
409
+ amphibian
410
+ analog clock
411
+ apiary
412
+ apron
413
+ ashcan
414
+ assault rifle
415
+ backpack
416
+ bakery
417
+ balance beam
418
+ balloon
419
+ ballpoint
420
+ Band Aid
421
+ banjo
422
+ bannister
423
+ barbell
424
+ barber chair
425
+ barbershop
426
+ barn
427
+ barometer
428
+ barrel
429
+ barrow
430
+ baseball
431
+ basketball
432
+ bassinet
433
+ bassoon
434
+ bathing cap
435
+ bath towel
436
+ bathtub
437
+ beach wagon
438
+ beacon
439
+ beaker
440
+ bearskin
441
+ beer bottle
442
+ beer glass
443
+ bell cote
444
+ bib
445
+ bicycle-built-for-two
446
+ bikini
447
+ binder
448
+ binoculars
449
+ birdhouse
450
+ boathouse
451
+ bobsled
452
+ bolo tie
453
+ bonnet
454
+ bookcase
455
+ bookshop
456
+ bottlecap
457
+ bow
458
+ bow tie
459
+ brass
460
+ brassiere
461
+ breakwater
462
+ breastplate
463
+ broom
464
+ bucket
465
+ buckle
466
+ bulletproof vest
467
+ bullet train
468
+ butcher shop
469
+ cab
470
+ caldron
471
+ candle
472
+ cannon
473
+ canoe
474
+ can opener
475
+ cardigan
476
+ car mirror
477
+ carousel
478
+ carpenter's kit
479
+ carton
480
+ car wheel
481
+ cash machine
482
+ cassette
483
+ cassette player
484
+ castle
485
+ catamaran
486
+ CD player
487
+ cello
488
+ cellular telephone
489
+ chain
490
+ chainlink fence
491
+ chain mail
492
+ chain saw
493
+ chest
494
+ chiffonier
495
+ chime
496
+ china cabinet
497
+ Christmas stocking
498
+ church
499
+ cinema
500
+ cleaver
501
+ cliff dwelling
502
+ cloak
503
+ clog
504
+ cocktail shaker
505
+ coffee mug
506
+ coffeepot
507
+ coil
508
+ combination lock
509
+ computer keyboard
510
+ confectionery
511
+ container ship
512
+ convertible
513
+ corkscrew
514
+ cornet
515
+ cowboy boot
516
+ cowboy hat
517
+ cradle
518
+ crane
519
+ crash helmet
520
+ crate
521
+ crib
522
+ Crock Pot
523
+ croquet ball
524
+ crutch
525
+ cuirass
526
+ dam
527
+ desk
528
+ desktop computer
529
+ dial telephone
530
+ diaper
531
+ digital clock
532
+ digital watch
533
+ dining table
534
+ dishrag
535
+ dishwasher
536
+ disk brake
537
+ dock
538
+ dogsled
539
+ dome
540
+ doormat
541
+ drilling platform
542
+ drum
543
+ drumstick
544
+ dumbbell
545
+ Dutch oven
546
+ electric fan
547
+ electric guitar
548
+ electric locomotive
549
+ entertainment center
550
+ envelope
551
+ espresso maker
552
+ face powder
553
+ feather boa
554
+ file
555
+ fireboat
556
+ fire engine
557
+ fire screen
558
+ flagpole
559
+ flute
560
+ folding chair
561
+ football helmet
562
+ forklift
563
+ fountain
564
+ fountain pen
565
+ four-poster
566
+ freight car
567
+ French horn
568
+ frying pan
569
+ fur coat
570
+ garbage truck
571
+ gasmask
572
+ gas pump
573
+ goblet
574
+ go-kart
575
+ golf ball
576
+ golfcart
577
+ gondola
578
+ gong
579
+ gown
580
+ grand piano
581
+ greenhouse
582
+ grille
583
+ grocery store
584
+ guillotine
585
+ hair slide
586
+ hair spray
587
+ half track
588
+ hammer
589
+ hamper
590
+ hand blower
591
+ hand-held computer
592
+ handkerchief
593
+ hard disc
594
+ harmonica
595
+ harp
596
+ harvester
597
+ hatchet
598
+ holster
599
+ home theater
600
+ honeycomb
601
+ hook
602
+ hoopskirt
603
+ horizontal bar
604
+ horse cart
605
+ hourglass
606
+ iPod
607
+ iron
608
+ jack-o'-lantern
609
+ jean
610
+ jeep
611
+ jersey
612
+ jigsaw puzzle
613
+ jinrikisha
614
+ joystick
615
+ kimono
616
+ knee pad
617
+ knot
618
+ lab coat
619
+ ladle
620
+ lampshade
621
+ laptop
622
+ lawn mower
623
+ lens cap
624
+ letter opener
625
+ library
626
+ lifeboat
627
+ lighter
628
+ limousine
629
+ liner
630
+ lipstick
631
+ Loafer
632
+ lotion
633
+ loudspeaker
634
+ loupe
635
+ lumbermill
636
+ magnetic compass
637
+ mailbag
638
+ mailbox
639
+ maillot
640
+ maillot
641
+ manhole cover
642
+ maraca
643
+ marimba
644
+ mask
645
+ matchstick
646
+ maypole
647
+ maze
648
+ measuring cup
649
+ medicine chest
650
+ megalith
651
+ microphone
652
+ microwave
653
+ military uniform
654
+ milk can
655
+ minibus
656
+ miniskirt
657
+ minivan
658
+ missile
659
+ mitten
660
+ mixing bowl
661
+ mobile home
662
+ Model T
663
+ modem
664
+ monastery
665
+ monitor
666
+ moped
667
+ mortar
668
+ mortarboard
669
+ mosque
670
+ mosquito net
671
+ motor scooter
672
+ mountain bike
673
+ mountain tent
674
+ mouse
675
+ mousetrap
676
+ moving van
677
+ muzzle
678
+ nail
679
+ neck brace
680
+ necklace
681
+ nipple
682
+ notebook
683
+ obelisk
684
+ oboe
685
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686
+ odometer
687
+ oil filter
688
+ organ
689
+ oscilloscope
690
+ overskirt
691
+ oxcart
692
+ oxygen mask
693
+ packet
694
+ paddle
695
+ paddlewheel
696
+ padlock
697
+ paintbrush
698
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699
+ palace
700
+ panpipe
701
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702
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703
+ parallel bars
704
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705
+ parking meter
706
+ passenger car
707
+ patio
708
+ pay-phone
709
+ pedestal
710
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711
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712
+ perfume
713
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714
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715
+ pick
716
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717
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718
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719
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720
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721
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722
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723
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724
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725
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726
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727
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728
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729
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730
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731
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732
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733
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734
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735
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736
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737
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738
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739
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740
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741
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742
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743
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744
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745
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746
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747
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748
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749
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750
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751
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752
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753
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754
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755
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756
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757
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758
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759
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760
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764
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765
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766
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767
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768
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769
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770
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771
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772
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773
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774
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775
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776
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777
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778
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779
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780
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781
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782
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783
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784
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785
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786
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787
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788
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789
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790
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791
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792
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793
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794
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795
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796
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797
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798
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799
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800
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801
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802
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803
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804
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814
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815
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817
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818
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819
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822
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824
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826
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827
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828
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829
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831
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834
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835
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836
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837
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838
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839
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840
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841
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842
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843
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844
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848
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849
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859
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861
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862
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864
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866
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867
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868
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869
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871
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872
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873
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874
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875
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876
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877
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878
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879
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880
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881
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882
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883
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884
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885
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886
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887
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888
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889
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890
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891
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892
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893
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894
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895
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896
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897
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898
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899
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900
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901
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902
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903
+ whistle
904
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905
+ window screen
906
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907
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908
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909
+ wing
910
+ wok
911
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912
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913
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914
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915
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916
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917
+ web site
918
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919
+ crossword puzzle
920
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921
+ traffic light
922
+ book jacket
923
+ menu
924
+ plate
925
+ guacamole
926
+ consomme
927
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928
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929
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930
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931
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932
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933
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934
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935
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936
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937
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938
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939
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940
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941
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942
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943
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944
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945
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946
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947
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948
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949
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950
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951
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952
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953
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954
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955
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956
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957
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958
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959
+ hay
960
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961
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962
+ dough
963
+ meat loaf
964
+ pizza
965
+ potpie
966
+ burrito
967
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968
+ espresso
969
+ cup
970
+ eggnog
971
+ alp
972
+ bubble
973
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974
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975
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976
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977
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978
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979
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980
+ valley
981
+ volcano
982
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983
+ groom
984
+ scuba diver
985
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986
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987
+ yellow lady's slipper
988
+ corn
989
+ acorn
990
+ hip
991
+ buckeye
992
+ coral fungus
993
+ agaric
994
+ gyromitra
995
+ stinkhorn
996
+ earthstar
997
+ hen-of-the-woods
998
+ bolete
999
+ ear
1000
+ toilet tissue
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