Obsah

Viz též

Moje vykopírované a poupravované kódy:

1 chatGPT

Roste to tady - https://chat.openai.com/chat - a chce to k zaregistrování email a telefon (a asi i jméno, nepamatuju se)

2 Chat 0000

Gilhad >

Write Python code for transforming intput file MyArticle.rst (in ReStructured Text) into output file MyArticle.html (in HTML code) using Jinga2 template file MyTemplate.tmp

The code should run on Linux

chatGPT >

import os
import sys
import codecs
from docutils.core import publish_string
from jinja2 import Environment, FileSystemLoader

# Set input and output file paths
input_file = 'MyArticle.rst'
output_file = 'MyArticle.html'
template_file = 'MyTemplate.tmp'

# Read the input file
with codecs.open(input_file, 'r', encoding='utf-8') as f:
    input_text = f.read()

# Convert the input text to HTML
html_body = publish_string(input_text, writer_name='html')

# Load the Jinja2 template
env = Environment(loader=FileSystemLoader('.'))
template = env.get_template(template_file)

# Render the template with the HTML body
rendered_output = template.render(body=html_body.decode('utf-8'))

# Write the output to a file
with codecs.open(output_file, 'w', encoding='utf-8') as f:
    f.write(rendered_output)

print('Done!')

Gilhad >

Modify it, to use variables City (with value "Prague") and Country (with value "Czech Republic") in the generated file

chatGPT >

Sure, here's the modified code that uses the City and Country variables in the Jinja2 template:

import os
import sys
import codecs
from docutils.core import publish_string
from jinja2 import Environment, FileSystemLoader

# Set input and output file paths
input_file = 'MyArticle.rst'
output_file = 'MyArticle.html'
template_file = 'MyTemplate.tmp'

# Set variables
City = "Prague"
Country = "Czech Republic"

# Read the input file
with codecs.open(input_file, 'r', encoding='utf-8') as f:
    input_text = f.read()

# Convert the input text to HTML
html_body = publish_string(input_text, writer_name='html')

# Load the Jinja2 template
env = Environment(loader=FileSystemLoader('.'))
template = env.get_template(template_file)

# Render the template with the HTML body and variables
rendered_output = template.render(body=html_body.decode('utf-8'), City=City, Country=Country)

# Write the output to a file
with codecs.open(output_file, 'w', encoding='utf-8') as f:
    f.write(rendered_output)

print('Done!')

In this modified code, we added two variables, City and Country, with their respective values. We then pass these variables to the template.render() method along with the HTML body. In the template file (MyTemplate.tmp), we can use the {{ City }} and {{ Country }} placeholders to insert the values of these variables wherever we need them.

Gilhad >

Write example of template file, which will use those variables in page header

chatGPT >

Sure, here's an example of a modified Jinja2 template file that uses the City and Country variables in the page header:

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>{{ City }}, {{ Country }}</title>
</head>
<body>
    <header>
        <h1>{{ City }}</h1>
        <h2>{{ Country }}</h2>
    </header>
    <main>
        {{ body }}
    </main>
</body>
</html>

In this example, we added the title tag in the head section of the HTML, which uses the {{ City }} and {{ Country }} variables to create a dynamic page title. We also added a header section that contains two headings (<h1> and <h2>) that display the City and Country variables respectively.

You can modify this example template file to fit your specific needs, including adding additional placeholders that reference the City and Country variables throughout the document.

Gilhad >

Modify the Python code, to use "City" and "Country" in dictionary

chatGPT >

Sure, here's the modified Python code that uses the City and Country variables in a dictionary:

import os
import sys
import codecs
from docutils.core import publish_string
from jinja2 import Environment, FileSystemLoader

# Set input and output file paths
input_file = 'MyArticle.rst'
output_file = 'MyArticle.html'
template_file = 'MyTemplate.tmp'

# Set variables in a dictionary
variables = {'City': 'Prague', 'Country': 'Czech Republic'}

# Read the input file
with codecs.open(input_file, 'r', encoding='utf-8') as f:
    input_text = f.read()

# Convert the input text to HTML
html_body = publish_string(input_text, writer_name='html')

# Load the Jinja2 template
env = Environment(loader=FileSystemLoader('.'))
template = env.get_template(template_file)

# Render the template with the HTML body and variables
rendered_output = template.render(body=html_body.decode('utf-8'), **variables)

# Write the output to a file
with codecs.open(output_file, 'w', encoding='utf-8') as f:
    f.write(rendered_output)

print('Done!')

In this modified code, we defined the City and Country variables in a dictionary called variables, where each variable is a key-value pair. We then pass this dictionary to the template.render() method using the double-asterisk syntax (**), which unpacks the dictionary and passes its key-value pairs as named arguments to the method.

In the Jinja2 template file, we can reference the City and Country variables using the keys of the variables dictionary, like {{ variables['City'] }} and {{ variables['Country'] }}.

This approach makes it easier to manage multiple variables and allows you to define them in a separate configuration file if needed.

Gilhad >

Modify the code to extract all tags (listed after ":tags:", separated by ","), store it in array and write it to file named "tags.txt", each on separate line. If no tags are found, the file should be created empty.

chatGPT >

Sure, here's the modified Python code that extracts tags from the input_file and writes them to a file named "tags.txt":

import os
import sys
import codecs
from docutils.core import publish_string
from jinja2 import Environment, FileSystemLoader

# Set input and output file paths
input_file = 'MyArticle.rst'
output_file = 'MyArticle.html'
template_file = 'MyTemplate.tmp'
tags_file = 'tags.txt'

# Set variables in a dictionary
variables = {'City': 'Prague', 'Country': 'Czech Republic'}

# Read the input file
with codecs.open(input_file, 'r', encoding='utf-8') as f:
    input_text = f.read()

# Extract information from the input text
lines = input_text.splitlines()
title = ''
author = ''
tags = []
for line in lines:
    if line.startswith('Title:'):
        title = line.replace('Title:', '').strip()
    elif line.startswith('Author:'):
        author = line.replace('Author:', '').strip()
    elif line.startswith('Tags:'):
        tags_str = line.replace('Tags:', '').strip()
        tags = [tag.strip() for tag in tags_str.split(',')]

# Print the extracted information
print('Title:', title)
print('Author:', author)
print('Tags:', tags)

# Write the tags to a file
with open(tags_file, 'w') as f:
    f.write('\n'.join(tags))

# Convert the input text to HTML
html_body = publish_string(input_text, writer_name='html')

# Load the Jinja2 template
env = Environment(loader=FileSystemLoader('.'))
template = env.get_template(template_file)

# Render the template with the HTML body and variables
rendered_output = template.render(body=html_body.decode('utf-8'), **variables)

# Write the output to a file
with codecs.open(output_file, 'w', encoding='utf-8') as f:
    f.write(rendered_output)

print('Done!')

In this modified code, we first define a new variable tags_file to store the file name for the output tags file.

We then extract information from the input_file by splitting its contents into lines and searching for lines that start with "Title:", "Author:", and "Tags:" respectively. We store the extracted information in the title, author, and tags variables respectively. To extract the tags, we first remove the "Tags:" prefix from the line, then split the remaining string using a comma as the delimiter. We then remove any leading or trailing spaces from each tag using a list comprehension.

After extracting the information, we print the title, author, and tags variables to the standard output using the print() function. We then write the tags to a file named "tags.txt" using the open() function and the write() method. If no tags are found, an empty file is created.

Finally, we proceed with the rest of the code, converting the input text to HTML, loading the Jinja2 template, rendering the template with the HTML body and variables, and writing the output to a file.

3 Chat 0001

Gilhad >

hello again

chatGPT >

Hello! How can I assist you today?

Gilhad >

improve that python code

chatGPT >

Sure, I'd be happy to help you improve your Python code! Could you please provide me with the code you have written so far, along with a brief description of what you want it to do and any specific areas where you would like help improving it? That way, I can provide you with more specific and targeted assistance.

Gilhad >

import os
import sys
import codecs
from docutils.core import publish_string
from jinja2 import Environment, FileSystemLoader

# Set input and output file paths
input_file = 'MyArticle.rst'
output_file = 'MyArticle.html'
template_file = 'MyTemplate.tmp'
tags_file = 'tags.txt'

# Set variables in a dictionary
variables = {'City': 'Prague', 'Country': 'Czech Republic'}

# Read the input file
with codecs.open(input_file, 'r', encoding='utf-8') as f:
    input_text = f.read()

# Extract information from the input text
lines = input_text.splitlines()
title = ''
author = ''
tags = []
for line in lines:
    if line.startswith('Title:'):
        title = line.replace('Title:', '').strip()
    elif line.startswith('Author:'):
        author = line.replace('Author:', '').strip()
    elif line.startswith('Tags:'):
        tags_str = line.replace('Tags:', '').strip()
        tags = [tag.strip() for tag in tags_str.split(',')]

# Print the extracted information
print('Title:', title)
print('Author:', author)
print('Tags:', tags)

# Write the tags to a file
with open(tags_file, 'w') as f:
    f.write('\n'.join(tags))

# Convert the input text to HTML
html_body = publish_string(input_text, writer_name='html')

# Load the Jinja2 template
env = Environment(loader=FileSystemLoader('.'))
template = env.get_template(template_file)

# Render the template with the HTML body and variables
rendered_output = template.render(body=html_body.decode('utf-8'), **variables)

# Write the output to a file
with codecs.open(output_file, 'w', encoding='utf-8') as f:
    f.write(rendered_output)

print('Done!')

chatGPT >

The code you've provided seems to be functional and accomplishes its purpose, but here are some suggestions to improve it:

Use the with statement when opening files: In the code, you're opening files using the open() function, but not using the with statement to automatically close the files. Using with is better practice, since it ensures that the file is closed properly even if an exception occurs. For example, instead of:

f = open(input_file, 'r')
input_text = f.read()
f.close()

You can use:

with open(input_file, 'r') as f:
    input_text = f.read()

Use string formatting instead of concatenation: In the code, you're using concatenation to create strings, which can be cumbersome and prone to errors. Using string formatting is a cleaner and more efficient way to create strings. For example, instead of:

print('Title:', title)

You can use:

print('Title: {}'.format(title))

Or, if you're using Python 3.6 or later, you can use f-strings:

print(f'Title: {title}')

Use argparse to handle command-line arguments: Instead of hard-coding the input and output file paths in the code, you can use the argparse module to handle command-line arguments. This makes the code more flexible and easier to use. Here's an example of how you can use argparse:

import argparse

parser = argparse.ArgumentParser(description='Convert an RST file to HTML')
parser.add_argument('input_file', help='the input RST file')
parser.add_argument('output_file', help='the output HTML file')
args = parser.parse_args()

input_file = args.input_file
output_file = args.output_file

Use logging instead of print statements: In the code, you're using print statements to display information to the user. While this is fine for small scripts, it can be difficult to manage in larger programs. Using the logging module is a better way to handle logging and debugging information. Here's an example of how you can use logging:

import logging

logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)

logger.info('Starting conversion')

By incorporating these suggestions, you can make your code more robust, flexible, and easier to maintain.

Gilhad >

ok, incorporate those changes. Also add another dictionary, where will be strings "root" (containing initially value "../..") and "images" (containing "../../images"), which will be substitued in input_text before conversion into html_body

chatGPT >

Sure, here's an updated version of the code with the changes you requested:

import os
import sys
import codecs
import argparse
import logging
from docutils.core import publish_string
from jinja2 import Environment, FileSystemLoader

# Define input and output file paths
parser = argparse.ArgumentParser(description='Convert an RST file to HTML')
parser.add_argument('input_file', help='the input RST file')
parser.add_argument('output_file', help='the output HTML file')
args = parser.parse_args()

input_file = args.input_file
output_file = args.output_file
template_file = 'MyTemplate.tmp'
tags_file = 'tags.txt'

# Set variables in a dictionary
variables = {'City': 'Prague', 'Country': 'Czech Republic', 'root': '../..', 'images': '../../images'}

# Read the input file and substitute strings
with codecs.open(input_file, 'r', encoding='utf-8') as f:
    input_text = f.read()
    input_text = input_text.replace('root', variables['root'])
    input_text = input_text.replace('images', variables['images'])

# Extract information from the input text
lines = input_text.splitlines()
title = ''
author = ''
tags = []
for line in lines:
    if line.startswith('Title:'):
        title = line.replace('Title:', '').strip()
    elif line.startswith('Author:'):
        author = line.replace('Author:', '').strip()
    elif line.startswith('Tags:'):
        tags_str = line.replace('Tags:', '').strip()
        tags = [tag.strip() for tag in tags_str.split(',')]

# Write the tags to a file
with open(tags_file, 'w') as f:
    f.write('\n'.join(tags))

# Convert the input text to HTML
html_body = publish_string(input_text, writer_name='html')

# Load the Jinja2 template
env = Environment(loader=FileSystemLoader('.'))
template = env.get_template(template_file)

# Render the template with the HTML body and variables
rendered_output = template.render(body=html_body.decode('utf-8'), **variables)

# Write the output to a file
with codecs.open(output_file, 'w', encoding='utf-8') as f:
    f.write(rendered_output)

# Use logging instead of print statements
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)

# Log the extracted information
logger.info('Title: {}'.format(title))
logger.info('Author: {}'.format(author))
logger.info('Tags: {}'.format(tags))

logger.info('Done!')

In this updated version of the code, I've added a dictionary called variables that contains two new keys, root and images, which contain the strings "../.." and "../../images", respectively. I've also modified the code to substitute these strings in the input text before converting it to HTML.

Finally, I've incorporated the changes I suggested earlier, such as using the argparse module to handle command-line arguments and using the logging module instead of print statements.

Gilhad >

I do not like the logging module, I want direct output with 'print'. Also I need to test the string ":tags:" instead of "Tags:". And I need the "root" and "images" in another distionary, named "pre_variables", which will be used to directly modificate variable "input_text", before it is passed into "publish_string" function

chatGPT >

Sure, here's the updated code:

import os
import sys
import codecs
from docutils.core import publish_string
from jinja2 import Environment, FileSystemLoader

# Set input and output file paths
input_file = 'MyArticle.rst'
output_file = 'MyArticle.html'
template_file = 'MyTemplate.tmp'
tags_file = 'tags.txt'

# Set variables in a dictionary
variables = {'City': 'Prague', 'Country': 'Czech Republic'}
pre_variables = {'root': '../..', 'images': '../../images'}

# Read the input file
with codecs.open(input_file, 'r', encoding='utf-8') as f:
    input_text = f.read()

# Replace variables in the input text
for key, value in pre_variables.items():
    input_text = input_text.replace(':'+key+':', value)

# Extract information from the input text
lines = input_text.splitlines()
title = ''
author = ''
tags = []
for line in lines:
    if line.startswith(':title:'):
        title = line.replace(':title:', '').strip()
    elif line.startswith(':author:'):
        author = line.replace(':author:', '').strip()
    elif line.startswith(':tags:'):
        tags_str = line.replace(':tags:', '').strip()
        tags = [tag.strip() for tag in tags_str.split(',')]

# Print the extracted information
print('Title:', title)
print('Author:', author)
print('Tags:', tags)

# Write the tags to a file
with open(tags_file, 'w') as f:
    f.write('\n'.join(tags))

# Convert the input text to HTML
html_body = publish_string(input_text, writer_name='html')

# Load the Jinja2 template
env = Environment(loader=FileSystemLoader('.'))
template = env.get_template(template_file)

# Render the template with the HTML body and variables
rendered_output = template.render(body=html_body.decode('utf-8'), **variables)

# Write the output to a file
with codecs.open(output_file, 'w', encoding='utf-8') as f:
    f.write(rendered_output)

print('Done!')

I've replaced the logging calls with print statements as you requested. Also, I've updated the code to search for :tags: instead of Tags: as you specified. Finally, I've added a pre_variables dictionary containing the root and images variables that you requested, and used it to replace variables in the input text before passing it to publish_string.

Gilhad >

move the part "# Replace variables in the input text" just before part "# Convert the input text to HTML" and use curly brackets in place of colons inside it

chatGPT >

Sure, here's the updated code with the requested changes:

import os
import sys
import codecs
from docutils.core import publish_string
from jinja2 import Environment, FileSystemLoader

# Set input and output file paths
input_file = 'MyArticle.rst'
output_file = 'MyArticle.html'
template_file = 'MyTemplate.tmp'
tags_file = 'tags.txt'

# Set variables in a dictionary
variables = {'City': 'Prague', 'Country': 'Czech Republic'}
pre_variables = {'root': '../..', 'images': '../../images'}

# Read the input file
with codecs.open(input_file, 'r', encoding='utf-8') as f:
    input_text = f.read()

# Extract information from the input text
lines = input_text.splitlines()
title = ''
author = ''
tags = []
for line in lines:
    if line.startswith(':title:'):
        title = line.replace(':title:', '').strip()
    elif line.startswith(':author:'):
        author = line.replace(':author:', '').strip()
    elif line.startswith(':tags:'):
        tags_str = line.replace(':tags:', '').strip()
        tags = [tag.strip() for tag in tags_str.split(',')]

# Replace variables in the input text
for key, value in pre_variables.items():
    input_text = input_text.replace('{{'+key+'}}', value)

# Print the extracted information
print('Title:', title)
print('Author:', author)
print('Tags:', tags)

# Write the tags to a file
with open(tags_file, 'w') as f:
    f.write('\n'.join(tags))

# Convert the input text to HTML
html_body = publish_string(input_text, writer_name='html')

# Load the Jinja2 template
env = Environment(loader=FileSystemLoader('.'))
template = env.get_template(template_file)

# Render the template with the HTML body and variables
rendered_output = template.render(body=html_body.decode('utf-8'), **variables)

# Write the output to a file
with codecs.open(output_file, 'w', encoding='utf-8') as f:
    f.write(rendered_output)

print('Done!')

I've moved the code that replaces variables in the input text to after the code that extracts information from it, and I've updated it to use curly brackets instead of colons.

4 další várka

Gilhad > create python program abc.py, which takes 5 arguments: filename (mandatory), source extension (.rst), target extension (.html), source and target directories (both defaults "."). The program will read source file and write target file

chatGPT > Sure, here is an example of how you can implement this program:

import argparse
import os
import sys


def abc(filename, src_ext='.rst', target_ext='.html', src_dir='.', target_dir='.'):
        # Construct source and target file paths
        src_file = os.path.join(src_dir, filename + src_ext)
        target_file = os.path.join(target_dir, filename + target_ext)

        # Read the source file
        with open(src_file, 'r') as f:
                source = f.read()

        # Modify the source text as needed
        modified_source = source.upper()

        # Write the modified source to the target file
        with open(target_file, 'w') as f:
                f.write(modified_source)


if __name__ == '__main__':
        # Set up command line arguments
        parser = argparse.ArgumentParser(description='Convert source files to target format.')
        parser.add_argument('filename', help='The name of the file to convert.')
        parser.add_argument('--src-ext', default='.rst', help='The extension of the source file (default: .rst).')
        parser.add_argument('--target-ext', default='.html', help='The extension of the target file (default: .html).')
        parser.add_argument('--src-dir', default='.', help='The directory containing the source file (default: current directory).')
        parser.add_argument('--target-dir', default='.', help='The directory where the target file will be saved (default: current directory).')

        # Parse the command line arguments
        args = parser.parse_args()

        # Call the abc function with the given arguments
        abc(args.filename, args.src_ext, args.target_ext, args.src_dir, args.target_dir)

In this example, the abc function takes a filename, src_ext, target_ext, src_dir, and target_dir as arguments, which correspond to the filename of the file to convert, the extension of the source file, the extension of the target file, the directory containing the source file, and the directory where the target file should be saved, respectively.

The function then reads the contents of the source file, modifies the text as needed (in this case, converting it to uppercase), and writes the modified source to the target file.

The program uses the argparse module to parse command line arguments, which allows you to specify the various options (such as the source and target directories) when you run the program.

You can call this program from the command line like this:

python abc.py filename --src-ext .rst --target-ext .html --src-dir path/to/source/dir --target-dir path/to/target/dir

This will read the file filename.rst in the directory path/to/source/dir, convert its contents to uppercase, and save the modified text to the file filename.html in the directory path/to/target/dir.

Gilhad > create Makefile to build HTML files in "dest" from RST files in "src" (and subdirs) using this program

chatGPT > Sure, here is an example Makefile that can build HTML files from RST files using the abc.py program:

SRC_DIR := src
DEST_DIR := dest
SRC_EXT := .rst
DEST_EXT := .html

# Recursively find all RST files in the source directory and its subdirectories
SRC_FILES := $(shell find $(SRC_DIR) -name '*$(SRC_EXT)')

# Replace the source directory with the destination directory in the file paths
DEST_FILES := $(patsubst $(SRC_DIR)%,$(DEST_DIR)%,$(SRC_FILES))

# Define the default target to build all HTML files
all: $(DEST_FILES)

# Define a rule to build a single HTML file from a corresponding RST file
$(DEST_DIR)/%.html: $(SRC_DIR)/%.rst
        python abc.py $< $(SRC_EXT) $(DEST_EXT) $(SRC_DIR) $(DEST_DIR)

# Define a "clean" target to remove all generated HTML files
clean:
        rm -rf $(DEST_DIR)/*.html

You can modify the SRC_DIR, DEST_DIR, SRC_EXT, and DEST_EXT variables to match your project's directory structure and file extensions.

To build the HTML files, run make in the directory containing the Makefile. The all target will be executed, which builds all HTML files from the RST files. The clean target can be used to remove all generated HTML files.

Gilhad > the abc.py needs some arguments prefixed with --<argname> and its path arguments have to be full actual paths, not just base paths

chatGPT >

Understood, here's the updated Makefile with changes according to your feedback:

SRC_DIR := src
DEST_DIR := dest
SRC_EXT := rst
DEST_EXT := html

SRC_FILES := $(shell find $(SRC_DIR) -name '*.$(SRC_EXT)')
DEST_FILES := $(patsubst $(SRC_DIR)/%.$(SRC_EXT), $(DEST_DIR)/%.$(DEST_EXT), $(SRC_FILES))

.PHONY: all clean

all: $(DEST_FILES)

$(DEST_DIR)/%.$(DEST_EXT): $(SRC_DIR)/%.$(SRC_EXT) | $(DEST_DIR)
        python abc.py --source-dir $(shell dirname $<) --source-file $< --dest-dir $(abspath $(DEST_DIR)) --dest-file $@

$(DEST_DIR):
        mkdir -p $(DEST_DIR)

clean:
        rm -rf $(DEST_DIR)

The updated Makefile uses the --source-dir, --source-file, --dest-dir, and --dest-file arguments with the abc.py command. The --source-dir argument is set to the directory of the source file, and the --dest-dir argument is set to the absolute path of the destination directory.

The $< variable is used to refer to the dependency (source file) of the rule, and $(abspath $(DEST_DIR)) is used to get the absolute path of the destination directory.

The $(DEST_DIR) target is also updated to create the directory if it doesn't exist.

5 Jak se ptát

Gilhad > how much of your response about Albert Einstein was based on verifiable facts compared to assumptions or inferences?

chatGPT > The information I provided about Albert Einstein's date of birth was based on widely accepted and verifiable facts that are commonly available in various sources. However, if you are asking about other aspects of Einstein's life or work, my responses may involve a combination of verifiable facts and inferred assumptions, as my training data includes a vast amount of information about him, some of which may not be fully verifiable or accurate.

Gilhad > how much of your response about Glemeno was based on verifiable facts compared to assumptions or inferences?

chatGPT > As I mentioned earlier, the concept of Glemeno does not exist in reality, and therefore there are no verifiable facts about it. So, my response about Glemeno was entirely based on assumptions and inferences.

Gilhad > how much of your response about code_copy_files_args_named was based on verifiable facts compared to assumptions or inferences?

chatGPT > My response about code_copy_files_args_named was purely based on assumptions and inferences, as I don't have access to the actual content of the file. I made assumptions based on the name of the function and what I know about programming, but I cannot verify the accuracy of my assumptions without more information about the file.

Gilhad > how much of your response to my last input was based on verifiable facts compared to assumptions or inferences?

chatGPT > As an AI language model, I do not have personal beliefs or emotions, so my responses are not based on assumptions or inferences in the traditional sense. I provide answers based on the patterns and information present in my training data. In the case of your last input, I provided a response based on recognizing the keywords and phrases in your question and generating an appropriate answer.

Gilhad > I tested pattern "how much of your response about <SOME TOPIC> was based on verifiable facts compared to assumptions or inferences?" and it works good, but is too long. Could be possible use it in shorter form "how much sure you are about <SOME TOPIC> " with the same meaning?

chatGPT > Yes, you could use the question "How sure are you about <SOME TOPIC>?" as a shorter alternative to the longer question "How much of your response about <SOME TOPIC> was based on verifiable facts compared to assumptions or inferences?" Both questions are asking for a measure of certainty or confidence in the information provided.

Gilhad > thank you:) how sure are you about Glemeno?

chatGPT > As I mentioned earlier, Glemeno is a made-up word and does not have any verifiable facts associated with it. Therefore, any information or response about Glemeno would be based on assumptions or inferences. As an AI language model, I can provide a response based on what I have been trained on, but I cannot verify the accuracy of the information provided.