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| import cv2 | |
| import os | |
| from moviepy.editor import * | |
| import gradio as gr | |
| def parse_string(string, dataset): | |
| parsed_list = [] | |
| start = 0 | |
| otherword="" | |
| end = len(string) | |
| while start < end: | |
| max_chunk = "" | |
| max_length = 0 | |
| for chunk in VideosNames: | |
| if string.startswith(chunk.lower(), start) and len(chunk) > max_length: | |
| max_chunk = chunk | |
| max_length = len(chunk) | |
| if max_chunk: | |
| if len(max_chunk)>1: | |
| parsed_list.append(max_chunk) | |
| print(max_chunk) | |
| else: | |
| otherword+=max_chunk | |
| start += len(max_chunk) | |
| else: | |
| parsed_list.append(otherword) | |
| otherword="" | |
| start += 1 | |
| return parsed_list | |
| def remove_empty_values(lst): | |
| return [x for x in lst if x and (not isinstance(x, (str, list, dict)) or x)] | |
| def flatten_lists(lst): | |
| flat_list = [] | |
| for i in lst: | |
| if type(i) == list: | |
| flat_list.extend(flatten_lists(i)) | |
| else: | |
| flat_list.append(i) | |
| return flat_list | |
| path = 'Dataset' | |
| videos = [] | |
| VideosNames = [] | |
| myList = os.listdir(path) | |
| print(myList) | |
| for cu_video in myList: | |
| current_Video = cv2.imread(f'{path}/{cu_video}') | |
| videos.append(current_Video) | |
| VideosNames.append((os.path.splitext(cu_video)[0]).replace("-"," ").lower()) | |
| print(VideosNames) | |
| def texttoSign(text): | |
| listofwords=parse_string(text,VideosNames) | |
| listofwords=remove_empty_values(listofwords) | |
| index=0 | |
| for word in listofwords: | |
| if word not in VideosNames: | |
| listofwords[index]=(list(word)) | |
| index+=1 | |
| listofwords=flatten_lists(listofwords) | |
| clips=[] | |
| for i in range(len(listofwords)): | |
| clips.append(VideoFileClip("Dataset/"+(listofwords[i])+".mp4")) | |
| clips[i]=clips[i].subclip(1, 4) | |
| result_clip=concatenate_videoclips(clips) | |
| result_clip.write_videofile("combined.mp4") | |
| return "combined.mp4" | |
| # except: | |
| # pass | |
| demo=gr.Interface(fn=texttoSign, | |
| inputs="text", | |
| outputs="video", | |
| title="Urdu Text To Sign", | |
| description="This is a small text to sign language model based on Urdu sign langugae standards", | |
| examples=[["good boy"]]) | |
| demo.launch(debug=True) |