Explore Code Generation Using Deepseek Coder Models

import sys
!{sys.executable} -m pip install requests python-dotenv

import os
from getpass import getpass

from IPython.display import display, Image, Markdown, Audio

import requests

%load_ext dotenv
%dotenv

CLOUDFLARE_API_TOKEN="YOUR-TOKEN"
CLOUDFLARE_ACCOUNT_ID="YOUR-ACCOUNT-ID"

if "CLOUDFLARE_API_TOKEN" in os.environ:
    api_token = os.environ["CLOUDFLARE_API_TOKEN"]
else:
    api_token = getpass("Enter you Cloudflare API Token")

if "CLOUDFLARE_ACCOUNT_ID" in os.environ:
    account_id = os.environ["CLOUDFLARE_ACCOUNT_ID"]
else:
    account_id = getpass("Enter your account id")

model = "@hf/thebloke/deepseek-coder-6.7b-base-awq"

prompt = "# A function that checks if a given word is a palindrome"

response = requests.post(
    f"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model}",
    headers={"Authorization": f"Bearer {api_token}"},
    json={"messages": [
        {"role": "user", "content": prompt}
    ]}
)
inference = response.json()
code = inference["result"]["response"]

display(Markdown(f"""
    ```python
    {prompt}
    {code.strip()}
    ```
"""))

# A function that checks if a given word is a palindrome
def is_palindrome(word):
    # Convert the word to lowercase
    word = word.lower()

    # Reverse the word
    reversed_word = word[::-1]

    # Check if the reversed word is the same as the original word
    if word == reversed_word:
        return True
    else:
        return False

# Test the function
print(is_palindrome("racecar"))  # Output: True
print(is_palindrome("hello"))    # Output: False

model = "@hf/thebloke/deepseek-coder-6.7b-instruct-awq"

prompt = """Tell the user how to correct the following code:

# Welcomes our user
def hello_world(first_name="World"):
    print(f"Hello, {name}!")

"""

response = requests.post(
    f"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model}",
    headers={"Authorization": f"Bearer {api_token}"},
    json={"messages": [
        {"role": "user", "content": prompt}
    ]}
)
inference = response.json()
response = inference["result"]["response"]
display(Markdown(response))

# Welcomes our user
def hello_world(first_name="World"):
    print(f"Hello, {first_name}")

hello_world("John")

Hello, John

hello_world()

Hello, World

model = "@hf/thebloke/deepseek-coder-6.7b-base-awq"

code = """
<｜fim▁begin｜>import re

from jklol import email_service

def send_email(email_address, body):
    is_valid_email = re.<｜fim▁hole｜>
    if not is_valid_email:
        raise InvalidEmailAddress(email_address)
    return email_service.send(email_address, body)<｜fim▁end｜>
"""

response = requests.post(
    f"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model}",
    headers={"Authorization": f"Bearer {api_token}"},
    json={"messages": [
        {"role": "user", "content": code}
    ]}
)
inference = response.json()
response = inference["result"]["response"]
display(Markdown(f"""
    ```python
    {response.strip()}
    ```
"""))

is_valid_email = re.match(r"[^@]+@[^@]+\.[^@]+", email_address)

model = "@hf/thebloke/deepseek-coder-6.7b-instruct-awq"

# Learn more at https://json-schema.org/
json_schema = """
{
  "title": "User",
  "description": "A user from our example app",
  "type": "object",
  "properties": {
    "firstName": {
      "description": "The user's first name",
      "type": "string"
    },
    "lastName": {
      "description": "The user's last name",
      "type": "string"
    },
    "numKids": {
      "description": "Amount of children the user has currently",
      "type": "integer"
    },
    "interests": {
      "description": "A list of what the user has shown interest in",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
  },
  "required": [ "firstName" ]
}
"""

system_prompt = f"""
The user is going to discuss themselves and you should create a JSON object from their description to match the json schema below.

<BEGIN JSON SCHEMA>
{json_schema}
<END JSON SCHEMA>

Return JSON only. Do not explain or provide usage examples.
"""

prompt = """Hey there, I'm Craig Dennis and I'm a Developer Educator at Cloudflare. My email is craig@cloudflare.com.
            I am very interested in AI. I've got two kids. I love tacos, burritos, and all things Cloudflare"""

response = requests.post(
    f"https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run/{model}",
    headers={"Authorization": f"Bearer {api_token}"},
    json={"messages": [
        {"role": "system", "content": system_prompt},
        {"role": "user", "content": prompt}
    ]}
)
inference = response.json()
response = inference["result"]["response"]
display(Markdown(f"""
    ```json
    {response.strip()}
    ```
"""))

{
  "firstName": "Craig",
  "lastName": "Dennis",
  "numKids": 2,
  "interests": ["AI", "Cloudflare", "Tacos", "Burritos"]
}