The given code snippet defines a function called read_txt_file that takes two parameters, file_path and start_line. This function is used to read and process the contents of a text file.

Inside the function, the file data is read using the read() method, and then stored in the file_data variable. The strip() method is used to remove any leading or trailing whitespace characters from each line of the file.

The code then iterates over each line in the lines list, skipping certain lines that start with specific characters. For the remaining lines, the code extracts relevant information by slicing the line string based on specific character positions. The extracted information is then stored in a dictionary called row, and added to a list called data.

The pd.DataFrame() function from the pandas library is used to create a DataFrame object df from the data list. The resulting DataFrame is then filtered to remove rows with the date value of "----------" and any null values in the "Date" column.

Outside the function, the code uses the Streamlit library to create a web interface. The user can upload two text files using file upload widgets. When the user clicks the "Run" button, the code reads the contents of the uploaded files and passes them to the read_txt_file function. The returned DataFrames are concatenated using the pd.concat() function, and the final DataFrame is displayed in a table on the web interface.

Overall, the code snippet reads and processes text files, extracts relevant information, and displays the combined results in a table using the Streamlit library.