<|im_start|>system
You are a helpful AI assistant.<|im_end|>
<|im_start|>user
How do I create a local server using python, and host HTML code on it? And in step by step, what would I need to do to create an HTML code with a chatbot (using some api()<|im_end|>
<|im_start|>assistant
Creating a local server using python is very easy, several packages allow it. Python even has a built-in webserver, which can be started by selecting the directory where python is located on your computer in the Windows Powershell (or the equivalent on MacOs or Linux) and typing in the code: 
 python3 -m http.server
However, for hosting code, it may be better to use packages. This is an example code using the http.server package (example taken from https://pythonbasics.org/webserver/):
 # Python 3 server example
from http.server import BaseHTTPRequestHandler, HTTPServer
import time

hostName = "localhost"
serverPort = 8080

class MyServer(BaseHTTPRequestHandler):
    def do_GET(self):
        self.send_response(200)
        self.send_header("Content-type", "text/html")
        self.end_headers()
        self.wfile.write(bytes("<html><head><title>https://pythonbasics.org</title></head>", "utf-8"))
        self.wfile.write(bytes("<p>Request: %s</p>" % self.path, "utf-8"))
        self.wfile.write(bytes("<body>", "utf-8"))
        self.wfile.write(bytes("<p>This is an example web server.</p>", "utf-8"))
        self.wfile.write(bytes("</body></html>", "utf-8"))

if __name__ == "__main__":        
    webServer = HTTPServer((hostName, serverPort), MyServer)
    print("Server started http://%s:%s" % (hostName, serverPort))

    try:
        webServer.serve_forever()
    except KeyboardInterrupt:
        pass

    webServer.server_close()
    print("Server stopped.")

What you would need to create an HTML code depends entirely on what the code is supposed to achieve. The code above just displays 'Request:/ example' and 'This is an example web server'. If you want to depict results from an API in HTML, you would have to tell the chatbot what type of data you received from your API.<|im_end|>
<|im_start|>user
Can you please use Markdown for the code example?<|im_end|>
<|im_start|>assistant
Sure, here's the same code in markdown:
```
from http.server import BaseHTTPRequestHandler, HTTPServer
import time

hostName = "localhost"
serverPort = 8080

class MyServer(BaseHTTPRequestHandler):
    def do_GET(self):
        self.send_response(200)
        self.send_header("Content-type", "text/html")
        self.end_headers()
        self.wfile.write(bytes("<html><head><title>https://pythonbasics.org</title></head>", "utf-8"))
        self.wfile.write(bytes("<p>Request: %s</p>" % self.path, "utf-8"))
        self.wfile.write(bytes("<body>", "utf-8"))
        self.wfile.write(bytes("<p>This is an example web server.</p>", "utf-8"))
        self.wfile.write(bytes("</body></html>", "utf-8"))

if __name__ == "__main__":
    webServer = HTTPServer((hostName, serverPort), MyServer)
    print("Server started http://%s:%s" % (hostName, serverPort))

    try:
        webServer.serve_forever()
    except KeyboardInterrupt:
        pass

    webServer.server_close()
    print("Server stopped.")
```<|im_end|>
<|im_start|>user
List some possible chatbots I could use to help me with my html, and explain the pros and cons of each. Remember that I specifically want to fulfill my request with an api request, so please only suggest chatbots with apis that are available to the public.<|im_end|>
<|im_start|>assistant
There are many chatbot APIs available that you can use to add a chatbot to your HTML code. Here are some popular options and their pros and cons:

1. Dialogflow: Dialogflow is a popular chatbot platform from Google that provides a natural language processing engine to create conversational agents. Dialogflow provides an API that can be used to integrate your chatbot with your HTML code. Pros of Dialogflow include its ease of use, strong natural language processing capabilities, and support for various channels such as Facebook Messenger, Slack, and Google Assistant. Cons include limited customization options and pricing.

2. IBM Watson Assistant: IBM Watson Assistant is another popular chatbot platform that offers a robust API for integrating chatbots with HTML code. Pros of IBM Watson Assistant include its natural language processing capabilities, integration with various channels, and strong customization options. Cons include pricing and a steeper learning curve than some other options.

3. Amazon Lex: Amazon Lex is a chatbot platform from Amazon that offers an API for integrating chatbots with HTML code. Pros of Amazon Lex include its natural language processing capabilities, integration with other Amazon services such as AWS Lambda, and scalability. Cons include pricing and limited customization options.

4. Wit.ai: Wit.ai is a chatbot platform from Facebook that offers a natural language processing engine and an API for integrating chatbots with HTML code. Pros of Wit.ai include its ease of use, strong natural language processing capabilities, and support for various channels. Cons include limited customization options and potential privacy concerns due to being owned by Facebook.

5. Pandorabots: Pandorabots is a chatbot platform that offers a robust API for integrating chatbots with HTML code. Pros of Pandorabots include its strong natural language processing capabilities, customization options, and scalability. Cons include pricing and potentially higher technical skill requirements than some other options.

When choosing a chatbot API, consider factors such as natural language processing capabilities, customization options, integration with various channels, pricing, and technical skill requirements.<|im_end|>