post error

[Naren020402]

127.0.0.1 - - [29/Apr/2024 15:15:52] "GET / HTTP/1.1" 200 - 127.0.0.1 - - [29/Apr/2024 15:15:52] "GET /css/cwasa.css HTTP/1.1" 304 - 127.0.0.1 - - [29/Apr/2024 15:15:52] "GET /style.css HTTP/1.1" 304 - 127.0.0.1 - - [29/Apr/2024 15:15:52] "GET /js/script.js HTTP/1.1" 200 - 127.0.0.1 - - [29/Apr/2024 15:15:52] "GET /js/allcsa.js HTTP/1.1" 304 - here 127.0.0.1 - - [29/Apr/2024 15:15:52] "GET /static/js/sigmlFiles.json HTTP/1.1" 304 - 127.0.0.1 - - [29/Apr/2024 15:15:52] "GET /jas/loc2021/cwa/cwacfg.json HTTP/1.1" 304 - 127.0.0.1 - - [29/Apr/2024 15:15:52] "HEAD /jas/loc2021/avatars/COMMON.jar HTTP/1.1" 304 - 127.0.0.1 - - [29/Apr/2024 15:15:52] "GET /jas/loc2021/cwa/h2s.xsl HTTP/1.1" 304 - 127.0.0.1 - - [29/Apr/2024 15:15:53] "GET /jas/loc2021/avatars/COMMON.jar HTTP/1.1" 304 - 127.0.0.1 - - [29/Apr/2024 15:15:53] "HEAD /jas/loc2021/avatars/marc.jar HTTP/1.1" 304 - 127.0.0.1 - - [29/Apr/2024 15:15:53] "GET /jas/loc2021/avatars/marc.jar HTTP/1.1" 304 - 127.0.0.1 - - [29/Apr/2024 15:15:53] "GET /jas/loc2021/cwa/shaders/qskin.vert HTTP/1.1" 304 - 127.0.0.1 - - [29/Apr/2024 15:15:53] "GET /jas/loc2021/cwa/shaders/qskin.frag HTTP/1.1" 304 - text is how are you C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\main.py:254: DeprecationWarning: The StanfordParser will be deprecated Please use nltk.parse.corenlp.CoreNLPParser instead. parser = StanfordParser() Error: Could not find or load main class edu.stanford.nlp.parser.lexparser.LexicalizedParser Caused by: java.lang.ClassNotFoundException: edu.stanford.nlp.parser.lexparser.LexicalizedParser

[2024-04-29 15:15:58,874] ERROR in app: Exception on / [POST] Traceback (most recent call last): File "C:\Users\Naren\AppData\Local\Programs\Python\Python311\Lib\site-packages\flask\app.py", line 1473, in wsgi_app response = self.full_dispatch_request() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Naren\AppData\Local\Programs\Python\Python311\Lib\site-packages\flask\app.py", line 882, in full_dispatch_request rv = self.handle_user_exception(e) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Naren\AppData\Local\Programs\Python\Python311\Lib\site-packages\flask\app.py", line 880, in full_dispatch_request rv = self.dispatch_request() ^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Naren\AppData\Local\Programs\Python\Python311\Lib\site-packages\flask\app.py", line 865, in dispatch_request return self.ensure_sync(self.view_functions[rule.endpoint])(*view_args) # type: ignore[no-any-return] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\main.py", line 375, in flask_test take_input(text) File "C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\main.py", line 321, in take_input convert(some_text); ^^^^^^^^^^^^^^^^^^ File "C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\main.py", line 330, in convert word_list[i]=reorder_eng_to_isl(words) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\main.py", line 256, in reorder_eng_to_isl possible_parse_tree_list = [tree for tree in parser.parse(input_string)] ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Naren\AppData\Local\Programs\Python\Python311\Lib\site-packages\nltk\parse\api.py", line 47, in parse return next(self.parse_sents([sent], args, **kwargs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\Naren\AppData\Local\Programs\Python\Python311\Lib\site-packages\nltk\parse\stanford.py", line 136, in parse_sents self._execute( File "C:\Users\Naren\AppData\Local\Programs\Python\Python311\Lib\site-packages\nltk\parse\stanford.py", line 258, in _execute stdout, stderr = java( ^^^^^ File "C:\Users\Naren\AppData\Local\Programs\Python\Python311\Lib\site-packages\nltk\internals.py", line 146, in java raise OSError("Java command failed : " + str(cmd)) OSError: Java command failed : ['C:\Program Files\Java\jdk-21\bin\java.exe', '-mx4g', '-cp', 'C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\stanford-parser-full-2018-10-17\stanford-parser-3.9.2-models.jar;C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\stanford-parser-full-2018-10-17\ejml-0.23.jar;C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\stanford-parser-full-2018-10-17\slf4j-api-1.7.12-sources.jar;C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\stanford-parser-full-2018-10-17\slf4j-api.jar;C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\stanford-parser-full-2018-10-17\stanford-parser-3.9.2-javadoc.jar;C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\stanford-parser-full-2018-10-17\stanford-parser-3.9.2-models.jar;C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\stanford-parser-full-2018-10-17\stanford-parser-3.9.2-sources.jar;C:\Users\Naren\OneDrive\Desktop\text_to_isl-main\stanford-parser-full-2018-10-17\stanford-parser.jar', 'edu.stanford.nlp.parser.lexparser.LexicalizedParser', '-model', 'edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz', '-sentences', 'newline', '-outputFormat', 'penn', '-tokenized', '-escaper', 'edu.stanford.nlp.process.PTBEscapingProcessor', '-encoding', 'utf8', 'C:\Users\Naren\AppData\Local\Temp\tmpvnuozjfm'] 127.0.0.1 - - [29/Apr/2024 15:15:58] "POST / HTTP/1.1" 500 -

this is the error i got tps://github.com/shoebham/text_to_isl/assets/168421688/a8c5f4aa-19d2-46c1-ad7d-2aab7a130b3b)

[Naren020402]

[shoebham]

do you have java in your system and in your environment variables???

[Naren020402]

do you have java in your system and in your environment variables???

Yes I have and have done accordingly how you mentioned

[Naren020402]

[shoebham]

maybe try with java 8

[Naren020402]

getting same error i tired with java 8

[shoebham]

have you tried the docker solution

[Naren020402]

i am not familiar with docker can you provide the link for downloading docker and how to do run it

[shoebham]

you dont have the proper resources thats why you're getting the class not found error. try downloading the Stanford parser file from the link given in readme and keep it in the same folder as your project

[Naren020402]

i did

[shoebham]

i am not familiar with docker can you provide the link for downloading docker and how to do run it

you have the whole internet to get familiar with it. watch some videos or read some articles.