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endpoints.py
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endpoints.py
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"""
helper functions to prompt different language models.
"""
def prompt_chatgpt(image, prompt):
"""
Generates a response from Azure's ChatGPT model using a text prompt and an image.
Parameters
----------
image : str
Path to the image file to be analyzed.
prompt : str
Text prompt to guide the models response.
Returns
-------
str
The response content generated by the model.
"""
import os
from azure.ai.inference import ChatCompletionsClient
from azure.ai.inference.models import (
SystemMessage,
UserMessage,
TextContentItem,
ImageContentItem,
ImageUrl,
ImageDetailLevel,
)
from azure.core.credentials import AzureKeyCredential
endpoint = "https://models.inference.ai.azure.com"
token = os.environ["GITHUB_TOKEN"]
client = ChatCompletionsClient(
endpoint=endpoint,
credential=AzureKeyCredential(token),
)
response = client.complete(
messages=[
SystemMessage(
content="You are a professional Data Scientist specializing in Image Data Analysis and Research Data Management."
),
UserMessage(
content=[
TextContentItem(text = prompt),
ImageContentItem(
image_url=ImageUrl.load(
image_file = image,
image_format="png",
detail=ImageDetailLevel.LOW)
),
],
),
],
model="gpt-4o",
)
return response.choices[0].message.content
def prompt_llama_11b(image, prompt):
"""
Generates a response from Azure's Llama-3.2-11B-Vision-Instruct model using a text prompt and an image.
Parameters
----------
image : str
Path to the image file to be analyzed.
prompt : str
Text prompt to guide the models response.
Returns
-------
str
The response content generated by the model.
"""
import os
from azure.ai.inference import ChatCompletionsClient
from azure.ai.inference.models import (
SystemMessage,
UserMessage,
TextContentItem,
ImageContentItem,
ImageUrl,
ImageDetailLevel,
)
from azure.core.credentials import AzureKeyCredential
endpoint = "https://models.inference.ai.azure.com"
token = os.environ["GITHUB_TOKEN"]
client = ChatCompletionsClient(
endpoint=endpoint,
credential=AzureKeyCredential(token),
)
response = client.complete(
messages=[
SystemMessage(
content="You are a professional Data Scientist specializing in Image Data Analysis and Research Data Management."
),
UserMessage(
content=[
TextContentItem(text = prompt),
ImageContentItem(
image_url=ImageUrl.load(
image_file = image,
image_format="png",
detail=ImageDetailLevel.LOW)
),
],
),
],
model="Llama-3.2-11B-Vision-Instruct",
)
return response.choices[0].message.content
def prompt_phi(image, prompt):
"""
Generates a response from Azure's Phi-3.5-vision-instruct model using a text prompt and an image.
Parameters
----------
image : str
Path to the image file to be analyzed.
prompt : str
Text prompt to guide the models response.
Returns
-------
str
The response content generated by the model.
"""
import os
from azure.ai.inference import ChatCompletionsClient
from azure.ai.inference.models import (
SystemMessage,
UserMessage,
TextContentItem,
ImageContentItem,
ImageUrl,
ImageDetailLevel,
)
from azure.core.credentials import AzureKeyCredential
endpoint = "https://models.inference.ai.azure.com"
token = os.environ["GITHUB_TOKEN"]
client = ChatCompletionsClient(
endpoint=endpoint,
credential=AzureKeyCredential(token),
)
response = client.complete(
messages=[
SystemMessage(
content="You are a professional Data Scientist specializing in Image Data Analysis and Research Data Management."
),
UserMessage(
content=[
TextContentItem(text = prompt),
ImageContentItem(
image_url=ImageUrl.load(
image_file = image,
image_format="png",
detail=ImageDetailLevel.LOW)
),
],
),
],
model="Phi-3.5-vision-instruct",
)
return response.choices[0].message.content
def prompt_llama_90b(image, prompt):
"""
Generates a response from Azure's Llama-3.2-90B-Vision-Instruct model using a text prompt and an image.
Parameters
----------
image : str
Path to the image file to be analyzed.
prompt : str
Text prompt to guide the models response.
Returns
-------
str
The response content generated by the model.
"""
import os
from azure.ai.inference import ChatCompletionsClient
from azure.ai.inference.models import (
SystemMessage,
UserMessage,
TextContentItem,
ImageContentItem,
ImageUrl,
ImageDetailLevel,
)
from azure.core.credentials import AzureKeyCredential
endpoint = "https://models.inference.ai.azure.com"
token = os.environ["GITHUB_TOKEN"]
client = ChatCompletionsClient(
endpoint=endpoint,
credential=AzureKeyCredential(token),
)
response = client.complete(
messages=[
SystemMessage(
content="You are a professional Data Scientist specializing in Image Data Analysis and Research Data Management."
),
UserMessage(
content=[
TextContentItem(text = prompt),
ImageContentItem(
image_url=ImageUrl.load(
image_file = image,
image_format="png",
detail=ImageDetailLevel.LOW)
),
],
),
],
model="Llama-3.2-90B-Vision-Instruct",
)
return response.choices[0].message.content
def prompt_gpt_mini(image, prompt):
"""
Generates a response from Azure's gpt-4o-mini model using a text prompt and an image.
Parameters
----------
image : str
Path to the image file to be analyzed.
prompt : str
Text prompt to guide the models response.
Returns
-------
str
The response content generated by the model.
"""
import os
from azure.ai.inference import ChatCompletionsClient
from azure.ai.inference.models import (
SystemMessage,
UserMessage,
TextContentItem,
ImageContentItem,
ImageUrl,
ImageDetailLevel,
)
from azure.core.credentials import AzureKeyCredential
endpoint = "https://models.inference.ai.azure.com"
token = os.environ["GITHUB_TOKEN"]
client = ChatCompletionsClient(
endpoint=endpoint,
credential=AzureKeyCredential(token),
)
response = client.complete(
messages=[
SystemMessage(
content="You are a professional Data Scientist specializing in Image Data Analysis and Research Data Management."
),
UserMessage(
content=[
TextContentItem(text = prompt),
ImageContentItem(
image_url=ImageUrl.load(
image_file = image,
image_format="png",
detail=ImageDetailLevel.LOW)
),
],
),
],
model="gpt-4o-mini",
)
return response.choices[0].message.content