TypeError: WebSocketHandler.init() missing 2 required positional arguments: 'application' and 'request'

[xiaochenJCC]

use source code, cause TypeError: WebSocketHandler.init() missing 2 required positional arguments: 'application' and 'request'. Try to remove file (web.py)'s code line super().__init__() in RequestHandler.init(), it runs ok. puzzled :(

[bdarnell]

It sounds like you may be inheriting from both WebSocketHandler and RequestHandler (perhaps indirectly). I've never tried that and I'm not sure if it would work or not. It might be sensitive to the order of your base classes.

[bees4ever]

please fix it

[bdarnell]

Fix what, exactly? There's not enough information here for me to tell what's going on. Can you provide a complete example of how you're using WebSocketHandler that demonstrates the problem?

[Mohankrish08]

_init
cls.init(self, *args, **kwargs)
TypeError: WebSocketHandler.init() missing 2 required positional arguments: 'application' and 'request'

still i facing this issue, how to fix this issue?

[bdarnell]

Again, there's not enough information in any of the three reports here for me to tell what's going on. You'll need to provide a complete example showing how you're using WebSocket to demonstrate the problem.

[Vishwaaaah]

import pandas as pd
import numpy as np
import pickle
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.sequence import pad_sequences

model=load_model("next_word_prediction_model.h5")

with open('tokenizer','rb') as f:
    tokenizer=pickle.load(f)

def predict_next_word(model,tokenizer,text,max_sequence_len):
    token_list=tokenizer.texts_to_sequences([text])[0]
    if len(token_list)>max_sequence_len:
        token_list=token_list[-(max_sequence_len-1):]
    token_list=pad_sequences([token_list],maxlen=max_sequence_len-1,padding='pre')
    predicted=model.predict(token_list,verbose=0)
    predicted_word=np.argmax(predicted,axis=1)
    for word,index in tokenizer.word_index.items():
        if index==predicted_word:
            return word
    return None
st.title("Next Word Prediction with LSTM")
input_text=st.text_input("Enter the text","Laertes, and his")
if st.button("Predict Next Word"):
    predicted_word=predict_next_word(model,tokenizer,input_text,max_sequence_len)
    st.write("Predicted word is: ",predicted_word)

here is the code which is facing the error
TypeError: WebSocketHandler.init() missing 2 required positional arguments: 'application' and 'request'

I am using streamlit==1.35.0 and python 3.10.0 virtual environment.

hope this is enough to fix the error.
i would appreciate a response soon :)

[bdarnell]

OK, so you're not using Tornado directly, but it's coming in through another package (probably streamlit)? You may have better luck on the streamlit issue tracker then; it may be specific to the way they're using WebSocketHandler. There's an open issue here: streamlit/streamlit#9140

I don't know anything about streamlit (and I can't use the code you provided because it needs a tensorflow model file to be present), so I'm not going to be much help in debugging but I did see one slightly unusual thing that I left as a comment on the streamlit issue: streamlit/streamlit#9140 (comment)