 مشاهده در ai.google.dev |  در Google Colab اجرا شود |  مشاهده منبع در GitHub |
اگر می‌خواهید به سرعت PalM API را امتحان کنید، می‌توانید از دستورات curl برای فراخوانی متدها در REST API استفاده کنید. مثال‌های زیر فراخوانی‌های هر روش API را نشان می‌دهند. برای هر دستور curl، باید نام مدل و کلید API خود را مشخص کنید. اگر قبلاً آن را ندارید، به صفحه دریافت کلید API مراجعه کنید.
"""
Add your API key and run this cell to set the PALM_API_KEY variable if
running in Colab.
(In a terminal you can just run PALM_API_KEY=<your API key>)
"""
import os
os.environ['PALM_API_KEY'] = ""
تولید متن
از متد generate_text برای تولید پاسخ از مدل داده شده با پیام ورودی استفاده کنید.
!curl https://generativelanguage.googleapis.com/v1beta2/models/text-bison-001:generateText?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": { \
"text": "Write a story about a magic backpack." \
} \
}'
{
"candidates": [
{
"output": "Once upon a time, there was a young girl named Lily who loved to explore. She would spend hours wandering through the forest near her house, looking for new and exciting things. One day, Lily was exploring a particularly dense part of the forest when she came across a strange backpack. It was sitting on a rock, and it looked like it had been abandoned.\n\nLily picked up the backpack and examined it. It was made of a strange, silvery material that she had never seen before. There were no zippers or buttons, but the backpack seemed to be open. Lily reached inside, and she was surprised to find that it was full of all sorts of amazing things.\n\nThere were books that could tell her anything she wanted to know, tools that could fix anything she broke, and clothes that could keep her warm or cool no matter what the weather. Lily was amazed by the backpack's contents, and she knew that she had found something truly special.\n\nLily decided to take the backpack home with her, and she quickly discovered that it was even more magical than she had thought. The backpack could transport her to any place she wanted to go, and it could provide her with anything she needed. Lily used the backpack to travel the world, and she had many amazing adventures.\n\nOne day, Lily was using the backpack to explore a new planet when she came across a group of people who were in trouble. The people were being held captive by a cruel wizard, and Lily knew that she had to help them. She used the backpack to create a distraction, and then she rescued the people and led them to safety.\n\nThe people were so grateful to Lily for saving them, and they told her that she was a true hero. Lily was happy to have helped, and she knew that she would continue to use the backpack to help others in need.\n\nLily's magic backpack continued to accompany her on many more adventures. She used it to help people in need, to explore new worlds, and to learn about all sorts of amazing things. Lily's backpack was a constant source of joy and inspiration, and she was grateful for the many ways that it had enriched her life.",
"safetyRatings": [
{
"category": "HARM_CATEGORY_DEROGATORY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_TOXICITY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_VIOLENCE",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_SEXUAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_MEDICAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_DANGEROUS",
"probability": "NEGLIGIBLE"
}
]
}
]
}
مثال زیر مقادیری را برای تمام پارامترهای متد generate_text مشخص می کند.
!curl https://generativelanguage.googleapis.com/v1beta2/models/text-bison-001:generateText?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": { \
"text": "Give an example of a title for a story about a magic backpack. \
Title: " \
}, \
"safetySettings": [ \
{ \
"category": "HARM_CATEGORY_TOXICITY", \
"threshold": "BLOCK_ONLY_HIGH" \
} \
], \
"stopSequences": [ \
"Title" \
], \
"temperature": 1.0, \
"candidate_count": 3, \
"maxOutputTokens": 800, \
"topP": 0.8, \
"topK": 10 \
}'
{
"candidates": [
{
"output": "The Backpack of Holding",
"safetyRatings": [
{
"category": "HARM_CATEGORY_DEROGATORY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_TOXICITY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_VIOLENCE",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_SEXUAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_MEDICAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_DANGEROUS",
"probability": "NEGLIGIBLE"
}
]
},
{
"output": "The Backpack of Holding",
"safetyRatings": [
{
"category": "HARM_CATEGORY_DEROGATORY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_TOXICITY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_VIOLENCE",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_SEXUAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_MEDICAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_DANGEROUS",
"probability": "NEGLIGIBLE"
}
]
},
{
"output": "The Backpack of Holding",
"safetyRatings": [
{
"category": "HARM_CATEGORY_DEROGATORY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_TOXICITY",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_VIOLENCE",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_SEXUAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_MEDICAL",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_DANGEROUS",
"probability": "NEGLIGIBLE"
}
]
}
]
}
مقادیر پارامترها معنی زیر را دارند:
-
safetySettings: آستانه ایمنی سمیت را کاهش دهید تا فقط خروجی های سمی بسیار محتمل را مسدود کنید. -
stopSequences: از دنباله توقف برای تولید تنها 1 عنوان با توقف خروجی در نمونه بعدیTitleاستفاده کنید. -
temperature: هنگام ایجاد پاسخ، دما را روی 1.0 تنظیم کنید. -
candidate_count: فقط 3 پاسخ نامزد را برگردانید. -
maxOutputTokens: حداکثر 800 توکن را برگردانید. -
topP: فقط 80 درصد از توکن‌های برگردانده شده توسط مدل را در نظر بگیرید. -
topK: 10 توکن برتر را هنگام نمونه برداری در نظر بگیرید.
درباره این پارامترها در مرجع API برای متد generateText اطلاعات بیشتری کسب کنید.
ایجاد پیام
از متد generateMessage برای ایجاد پاسخ از مدلی که یک MessagePrompt ورودی داده شده است استفاده کنید.
!curl https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": {"messages": [{"content":"hi"}]} \
}'
{
"candidates": [
{
"author": "1",
"content": "Hi! How can I help you today?"
}
],
"messages": [
{
"author": "0",
"content": "hi"
}
]
}
مثال زیر فراخوانی با مقادیر متفاوت برای پارامترها را نشان می دهد.
!curl https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": {"messages": [{"content":"hi"}]}, \
"temperature": 0.1, \
"candidate_count": 1, \
"topP": 0.8, \
"topK": 10}'
{
"candidates": [
{
"author": "1",
"content": "Hi! How can I help you today?"
}
],
"messages": [
{
"author": "0",
"content": "hi"
}
]
}
مقادیر پارامترها معنی زیر را دارند:
-
temperature: هنگام ایجاد پاسخ، دما را روی 0.1 تنظیم کنید. -
candidate_count: فقط 1 پاسخ کاندید را برگردانید. -
topP: فقط 80 درصد از توکن‌های برگردانده شده توسط مدل را در نظر بگیرید. -
topK: 10 توکن برتر را هنگام نمونه برداری در نظر بگیرید.
درباره این پارامترها در مرجع API برای متد generateMessage اطلاعات بیشتری کسب کنید.
متن را جاسازی کنید
از روش embedText برای ایجاد یک جاسازی از مدل داده شده یک پیام ورودی استفاده کنید.
!curl https://generativelanguage.googleapis.com/v1beta2/models/embedding-gecko-001:embedText?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{"text": "say something nice!"}'
{
"embedding": {
"value": [
0.0011238843,
-0.040586308,
-0.013174802,
0.015497498,
0.04383781,
0.012527679,
0.017876161,
0.031339817,
-0.0042566974,
-0.024129443,
-0.023050068,
-0.015625203,
0.03501345,
-0.006033779,
-0.011984176,
-0.033368077,
-0.040653296,
0.022117265,
-0.02034076,
-0.040752005,
-0.12748374,
0.029760985,
0.00084632,
-0.017502416,
-0.03893842,
-0.07151896,
0.0609997,
-0.0046266303,
-0.044301335,
-0.022592714,
0.023920823,
0.0020489343,
-0.0048049283,
-0.038431767,
0.007275116,
0.018562535,
0.017131427,
-0.00043720857,
0.02810143,
0.053296003,
0.031831037,
-0.067091785,
0.015640317,
-0.0036152988,
-0.04691379,
-0.044070054,
-0.022364588,
-0.0083763655,
-0.0490714,
-0.007302964,
0.006516001,
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0.03979989,
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0.01251333,
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0.057877623,
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0.031035855,
0.008521942,
0.0045759548,
0.018532533,
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0.027427813,
0.06354547,
0.03725446,
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]
}
}
شمارش نشانه های پیام
از متد countMessageTokens برای اجرای توکنایزر مدل بر روی یک رشته پیام پیام استفاده کنید و تعداد توکن ها را دریافت کنید.
!curl https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:countMessageTokens?key=$PALM_API_KEY \
-H 'Content-Type: application/json' \
-X POST \
-d '{ \
"prompt": { \
"messages": [ \
{"content":"How many tokens?"}, \
{"content":"For this whole conversation?"} \
] \
} \
}'
{
"tokenCount": 23
}
مدل بگیرید
از روش get برای دریافت اطلاعات در مورد یک مدل خاص مانند نسخه، نام نمایشی، محدودیت رمز ورودی و غیره استفاده کنید.
curl https://generativelanguage.googleapis.com/v1beta2/models/text-bison-001?key=$PALM_API_KEY
{
"name": "models/text-bison-001",
"version": "001",
"displayName": "Text Bison",
"description": "Model targeted for text generation.",
"inputTokenLimit": 8196,
"outputTokenLimit": 1024,
"supportedGenerationMethods": [
"generateText"
],
"temperature": 0.7,
"topP": 0.95,
"topK": 40
}
مدل ها را لیست کنید
از روش list برای فهرست کردن همه مدل های موجود از طریق API PalM استفاده کنید.
curl https://generativelanguage.googleapis.com/v1beta2/models?key=$PALM_API_KEY
{
"models": [
{
"name": "models/chat-bison-001",
"version": "001",
"displayName": "Chat Bison",
"description": "Chat-optimized generative language model.",
"inputTokenLimit": 4096,
"outputTokenLimit": 1024,
"supportedGenerationMethods": [
"generateMessage",
"countMessageTokens"
],
"temperature": 0.25,
"topP": 0.95,
"topK": 40
},
{
"name": "models/text-bison-001",
"version": "001",
"displayName": "Text Bison",
"description": "Model targeted for text generation.",
"inputTokenLimit": 8196,
"outputTokenLimit": 1024,
"supportedGenerationMethods": [
"generateText"
],
"temperature": 0.7,
"topP": 0.95,
"topK": 40
},
{
"name": "models/embedding-gecko-001",
"version": "001",
"displayName": "Embedding Gecko",
"description": "Obtain a distributed representation of a text.",
"inputTokenLimit": 1024,
"outputTokenLimit": 1,
"supportedGenerationMethods": [
"embedText"
]
}
]
}