Allennlp, TextClassifierPredictor, Tokenizer, Sentence, Vocabulary, TextClassifier, Params This code defines a function to predict the sentiment of a given text. It uses the Allennlp library's TextClassifierPredictor to load a pre-trained model and tokenizer, then tokenize the input text and perform sentiment prediction. 2024-12-16 12:11:05 The type of code 4 views
Pydantic This function uses Pydantic's BaseModel to validate user data. It accepts a dictionary containing the user's name and age, and then attempts to convert it to a User model. If the data is valid, it returns the validated user object; if the data is invalid, it returns error information. 2024-12-16 12:11:05 Pydantic Validation Function 12 views
Python, random This function generates a random string of a specified length using a set of characters which includes both uppercase and lowercase letters and numbers. 2024-12-16 12:11:04 Python Function 4 views
Altair, Pandas This function generates a random chart based on a given dataset and chart type using the Altair library. 2024-12-16 12:11:04 Custom function 4 views
Pyrogram This function, using the Pyrogram library, randomly selects a quote from a predefined list and sends it to a specified chat. 2024-12-16 12:11:04 Function 4 views
seaborn, pandas, numpy This function uses the seaborn library's boxplot method to plot a boxplot, which is used to compare the distribution of a numerical variable across different categories. 2024-12-16 12:11:04 The type of code 4 views
bcrypt library, random password generation, password hashing This function generates a random password of a specified length using the bcrypt library and hashes it. It first generates a random salt using bcrypt's internal functions, then generates a random password, and hashes it with the salt. Finally, it returns the hashed password. 2024-12-16 12:11:03 The type of code 6 views
gensim This function uses the gensim library to analyze text, create a Bag-of-Words (BoW) model, and train an LDA topic model to identify topics within the text. It then returns the most frequently occurring word in the text. 2024-12-16 12:11:03 Function 9 views
scikit-learn This function uses the random forest algorithm to classify the given data and returns the classification accuracy. 2024-12-16 12:11:03 Machine learning classification 4 views
PyTorch, torchvision This function uses PyTorch for image classification, loads image data from a specified path, performs inference with a pre-trained model, and returns the predicted class. 2024-12-16 12:11:03 Image classification 6 views
