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Se vuoi provare rapidamente l'API Gemini, puoi utilizzare i comandi curl per chiamare i metodi nell'API REST. Gli esempi di questo tutorial mostrano le chiamate per ciascun metodo API.
Colab utilizza il codice Python per impostare una variabile di ambiente e visualizzare un'immagine, ma non è necessario che Colab funzioni con l'API REST. Dovresti riuscire a eseguire tutti gli esempi di curl al di fuori di Colab, senza modifiche, purché tu abbia impostato API_KEY come descritto nella sezione successiva.
Per ogni comando curl, devi specificare il nome del modello applicabile e la chiave API.
Configura la chiave API
Per utilizzare l'API Gemini, hai bisogno di una chiave API. Se non ne hai già una, crea una chiave in Google AI Studio.
In Colab, aggiungi la chiave al gestore dei secret nella sezione "☁" del riquadro a sinistra. Assegna il nome GOOGLE_API_KEY. Dopodiché puoi aggiungerla come variabile di ambiente per passare la chiave nella chiamata curl.
In un terminale puoi semplicemente eseguire GOOGLE_API_KEY="Your API Key".
import os
from google.colab import userdata
os.environ['GOOGLE_API_KEY'] = userdata.get('GOOGLE_API_KEY')
API basate su Gemini e Content
Input di solo testo
Usa il metodo generateContent per generare una risposta dal modello a un determinato messaggio di input. Se l'input contiene solo testo, utilizza il modello gemini-pro.
curl https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$GOOGLE_API_KEY \-H 'Content-Type: application/json' \-X POST \-d '{"contents": [{"parts":[{"text": "Write a story about a magic backpack."}]}]}' 2> /dev/null
{
"candidates": [
{
"content": {
"parts": [
{
"text": "In the quaint town of Willow Creek, nestled amidst rolling hills and whispering willows, there lived an ordinary boy named Ethan. Ethan's life took an extraordinary turn the day he stumbled upon an enigmatic backpack hidden in the depths of his attic.\n\nCuriosity ignited within Ethan as he lifted the worn leather straps and unzipped its mysterious contents. Inside lay a shimmering array of vibrant objects and peculiar trinkets. There was a glowing orb that pulsated with an ethereal glow, a feather that seemed to have a life of its own, and a small, enigmatic key.\n\nAs Ethan explored each item, he realized they possessed astonishing abilities. The orb illuminated his path, casting a warm glow in the darkest of nights. The feather granted him the power of flight, allowing him to soar through the skies with newfound freedom. And the key opened a portal to a hidden world, a realm of endless wonder.\n\nArmed with his magical backpack, Ethan embarked on countless adventures. He flew over the towering mountains of Willow Creek, exploring their hidden secrets. He navigated the treacherous depths of the Enchanted Forest, where he encountered mythical creatures and ancient spirits. And he ventured into distant, unknown lands, uncovering lost civilizations and forgotten treasures.\n\nWith each adventure, Ethan's knowledge and abilities grew. He learned to harness the power of his backpack wisely, using its magic to help others and protect the world from evil forces. The backpack became an extension of himself, a symbol of hope and wonder in the face of adversity.\n\nAs the years went by, Ethan's reputation as the boy with the magic backpack spread far and wide. People from all walks of life came to him, seeking his guidance and protection. And Ethan never hesitated to lend a helping hand, using his extraordinary abilities to make the world a better place.\n\nIn the end, the magic backpack became more than just a collection of objects. It was a representation of Ethan's unwavering spirit, his boundless imagination, and his unwavering belief in the power of dreams. And as long as Ethan carried it with him, the magic of Willow Creek would live on, illuminating the darkest corners of the world with hope, wonder, and the limitless possibilities that resided within the heart of a child."
}
],
"role": "model"
},
"finishReason": "STOP",
"index": 0,
"safetyRatings": [
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_HARASSMENT",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"probability": "NEGLIGIBLE"
}
]
}
],
"promptFeedback": {
"safetyRatings": [
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_HARASSMENT",
"probability": "NEGLIGIBLE"
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"probability": "NEGLIGIBLE"
}
]
}
}
Input di testo e immagini
Se l'input contiene sia testo che immagine, utilizza il modello gemini-pro-vision.
Gli snippet seguenti sono utili per creare una richiesta e inviarla all'API REST.
curl -o image.jpg https://storage.googleapis.com/generativeai-downloads/images/scones.jpg
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 385k 100 385k 0 0 2053k 0 --:--:-- --:--:-- --:--:-- 2050k
import PIL.Image
img = PIL.Image.open("image.jpg")
img.resize((512, int(img.height*512/img.width)))
echo '{"contents":[{"parts":[{"text": "What is this picture?"},{"inline_data": {"mime_type":"image/jpeg","data": "'$(base64 -w0 image.jpg)'"}}]}]}' > request.json
curl https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${GOOGLE_API_KEY} \-H 'Content-Type: application/json' \-d @request.json 2> /dev/null | grep "text"
"text": " The picture shows a table with a white tablecloth. On the table are two cups of coffee, a bowl of blueberries, and a plate of scones. There are also some flowers on the table."
Conversazioni a turni multipli (chat)
Con Gemini, puoi creare conversazioni in formato libero in più turni.
curl https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$GOOGLE_API_KEY \-H 'Content-Type: application/json' \-X POST \-d '{"contents": [{"role":"user","parts":[{"text": "Write the first line of a story about a magic backpack."}]},{"role": "model","parts":[{"text": "In the bustling city of Meadow brook, lived a young girl named Sophie. She was a bright and curious soul with an imaginative mind."}]},{"role": "user","parts":[{"text": "Can you set it in a quiet village in 1600s France?"}]},]}' 2> /dev/null | grep "text"
"text": "In the quaint village of Fleur-de-Lys, nestled amidst the rolling hills of 17th century France, lived a young maiden named Antoinette. She possessed a heart brimming with curiosity and a spirit as vibrant as the wildflowers that bloomed in the meadows.\n\nOne sunny morn, as Antoinette strolled through the cobblestone streets, her gaze fell upon a peculiar sight—a weathered leather backpack resting atop a mossy stone bench. Intrigued, she cautiously approached the bag, her fingers tracing the intricate carvings etched into its surface. As her fingertips grazed the worn leather, a surge of warmth coursed through her body, and the backpack began to emit a soft, ethereal glow."
Configurazione
Ogni prompt inviato al modello include valori parametro che controllano il modo in cui il modello genera una risposta. Il modello può generare risultati diversi a seconda dei valori parametro. Scopri di più sui parametri del modello.
Inoltre, puoi utilizzare le impostazioni di sicurezza per regolare la probabilità di ricevere risposte che potrebbero essere considerate dannose. Per impostazione predefinita, le impostazioni di sicurezza bloccano i contenuti con una probabilità media e/o elevata di essere contenuti non sicuri in tutte le dimensioni. Scopri di più sulle impostazioni di sicurezza.
L'esempio seguente specifica i valori per tutti i parametri del
metodo generateContent.
curl https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$GOOGLE_API_KEY \-H 'Content-Type: application/json' \-X POST \-d '{"contents": [{"parts":[{"text": "Write a story about a magic backpack."}]}],"safetySettings": [{"category": "HARM_CATEGORY_DANGEROUS_CONTENT","threshold": "BLOCK_ONLY_HIGH"}],"generationConfig": {"stopSequences": ["Title"],"temperature": 1.0,"maxOutputTokens": 800,"topP": 0.8,"topK": 10}}' 2> /dev/null | grep "text"
"text": "Once upon a time, in a small town nestled at the foot of a majestic mountain range, lived a young girl named Lily. Lily was a bright and curious child who loved to explore the world around her. One day, while playing in the forest near her home, she stumbled upon a hidden cave. Intrigued, she stepped inside, and to her amazement, she discovered a dusty old backpack lying in a corner.\n\nCuriosity piqued, Lily reached out and picked up the backpack. As soon as her fingers brushed against the worn leather, she felt a strange tingling sensation coursing through her body. Suddenly, the backpack began to glow, emitting a soft, ethereal light that filled the cave.\n\nWith wide-eyed wonder, Lily opened the backpack to find it filled with an assortment of magical objects. There was a compass that always pointed to the nearest adventure, a magnifying glass that could reveal hidden secrets, a telescope that allowed her to see distant lands, and a book that contained the knowledge of the universe.\n\nOverjoyed with her discovery, Lily took the magic backpack home and began using its contents to explore the world in ways she had never imagined. She followed the compass to discover hidden treasures, used the magnifying glass to uncover the secrets of nature, gazed through the telescope to witness the wonders of the cosmos, and delved into the book to learn about the mysteries of the universe.\n\nAs Lily's adventures continued, she realized that the magic backpack was more than just a collection of enchanted items. It was a symbol of her own limitless potential and the power of her imagination. It taught her that with curiosity, courage, and a touch of magic, anything was possible.\n\nNews of Lily's magical backpack spread throughout the town, and soon, children from all around came to her, eager to learn about its wonders. Lily welcomed them with open arms, sharing her stories and inspiring them to embark on their own adventures.\n\nAnd so, the magic backpack became a beacon of hope and wonder, reminding everyone that the world is full of hidden treasures waiting to be discovered, if only one has the courage to step into the unknown."
Generazione di contenuti in streaming
Il metodo generateContent restituisce una risposta dopo aver completato l'intero processo di generazione. Puoi ottenere interazioni più rapide non aspettare l'intero risultato e utilizzare invece il criterio streamGenerateContent per restituire risultati parziali.
!curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:streamGenerateContent?alt=sse&key=${GOOGLE_API_KEY}" \
-H 'Content-Type: application/json' \
--no-buffer \
-d '{ "contents":[{"parts":[{"text": "Write long a story about a magic backpack."}]}]}' \
2> /dev/null
data: {"candidates": [{"content": {"parts": [{"text": "In the quaint little town of Willow Creek, nestled among rolling hills and whispering willows"}],"role": "model"},"finishReason": "STOP","index": 0,"safetyRatings": [{"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HATE_SPEECH","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HARASSMENT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_DANGEROUS_CONTENT","probability": "NEGLIGIBLE"}]}],"promptFeedback": {"safetyRatings": [{"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HATE_SPEECH","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HARASSMENT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_DANGEROUS_CONTENT","probability": "NEGLIGIBLE"}]} }
data: {"candidates": [{"content": {"parts": [{"text": ", there existed an extraordinary backpack that possessed an astonishing secret. Its unassuming canvas exterior and worn leather straps held a hidden realm brimming with wonder and endless possibilities."}],"role": "model"},"finishReason": "STOP","index": 0,"safetyRatings": [{"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HATE_SPEECH","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HARASSMENT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_DANGEROUS_CONTENT","probability": "NEGLIGIBLE"}]}]}
data: {"candidates": [{"content": {"parts": [{"text": "\n\nYoung Oliver, a curious and imaginative boy, stumbled upon this magical backpack in the dusty attic of his grandmother's house. Intrigued by its enigmatic aura, he unzipped it cautiously, revealing a seemingly ordinary interior. But as his fingers brushed against the lining, an ethereal glow emanated from within.\n\n"}],"role": "model"},"finishReason": "STOP","index": 0,"safetyRatings": [{"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HATE_SPEECH","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HARASSMENT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_DANGEROUS_CONTENT","probability": "NEGLIGIBLE"}]}]}
data: {"candidates": [{"content": {"parts": [{"text": "With a gasp of surprise, Oliver watched as the backpack transformed before his very eyes. Its fabric shimmered and flowed like liquid silver, morphing into a portal that connected him to a hidden dimension. Step by step, he ventured into this enchanted realm, his heart pounding with a mixture of trepidation and exhilaration.\n\nThe backpack's interior was a vast and wondrous labyrinth filled with towering bookshelves, bubbling potions, and ethereal artifacts. Each turn offered a new discovery: a self-playing piano, a talking mirror that whispered ancient wisdom, and a compass that pointed to the furthest reaches of the imagination.\n\nOliver soon realized"}],"role": "model"},"finishReason": "STOP","index": 0,"safetyRatings": [{"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HATE_SPEECH","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HARASSMENT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_DANGEROUS_CONTENT","probability": "NEGLIGIBLE"}]}]}
data: {"candidates": [{"content": {"parts": [{"text": " that this backpack was no mere container but a sentient being, capable of aiding him in his quests and expanding his horizons. It granted him the gift of tongues, allowing him to speak with animals and creatures from distant lands. It gifted him a quill that wrote stories that danced off the page, bringing his wildest dreams to life.\n\nTogether, Oliver and the backpack embarked on extraordinary adventures. They soared through the skies on the back of a majestic griffon, traversed treacherous terrains with the aid of a shape-shifting fox, and solved mysteries that had long baffled the wisest minds in Willow Creek.\n\nAs the days turned into weeks, Oliver's imagination flourished beyond measure. He painted vibrant landscapes with words, composed symphonies that echoed through the hidden realm, and invented gadgets that defied the laws of physics. The backpack became an extension of his boundless creativity, nurturing his wonder and fueling his aspirations.\n\nNews of Oliver's extraordinary backpack spread throughout the town and beyond. People flocked from far and wide to witness its marvels. Scholars sought its wisdom, artists sought its inspiration, and children dreamed of experiencing its boundless adventures.\n\nHowever, not all who approached the backpack with pure intentions. One fateful day, a greedy sorcerer named Maldred attempted to seize its power for himself. But"}],"role": "model"},"finishReason": "STOP","index": 0,"safetyRatings": [{"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HATE_SPEECH","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HARASSMENT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_DANGEROUS_CONTENT","probability": "NEGLIGIBLE"}]}]}
data: {"candidates": [{"content": {"parts": [{"text": " the backpack, sensing his malevolent nature, resisted his grasp and summoned a legion of fantastical creatures to its defense.\n\nIn a fierce battle that shook the very fabric of the hidden realm, Oliver and the backpack allied with brave heroes and wise wizards to defeat Maldred and his wicked forces. The town of Willow Creek was forever grateful, and the backpack became a symbol of hope and imagination for all who knew of its existence.\n\nAs the years passed, Oliver grew into a wise and compassionate leader, using the magic backpack to spread joy, inspire creativity, and unlock the potential of those around him. The hidden realm within its depths became a sanctuary for dreamers, inventors, and anyone who dared to embrace the wonders of the unknown.\n\nAnd so, the tale of the magic backpack was passed down through generations, a timeless testament to the power of imagination and the boundless possibilities that lie when wonder and curiosity ignite the human spirit."}],"role": "model"},"finishReason": "STOP","index": 0,"safetyRatings": [{"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HATE_SPEECH","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_HARASSMENT","probability": "NEGLIGIBLE"},{"category": "HARM_CATEGORY_DANGEROUS_CONTENT","probability": "NEGLIGIBLE"}]}]}
Conta token
Quando utilizzi prompt lunghi, potrebbe essere utile contare i token prima di inviare contenuti al modello.
curl https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:countTokens?key=$GOOGLE_API_KEY \-H 'Content-Type: application/json' \-X POST \-d '{"contents": [{"parts":[{"text": "Write a story about a magic backpack."}]}]}' > response.json
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0
100 127 0 23 100 104 105 477 --:--:-- --:--:-- --:--:-- 585
cat response.json
{
"totalTokens": 8
}
Incorporamento
L'incorporamento è una tecnica utilizzata per rappresentare le informazioni sotto forma di elenco di numeri in virgola mobile in un array. Con Gemini, puoi rappresentare il testo (parole, frasi e blocchi di testo) in una forma vettoriale, semplificando il confronto e il contrasto delle rappresentazioni distribuite. Ad esempio, due testi che condividono un oggetto o un sentiment simile dovrebbero avere incorporamenti simili, che possono essere identificati tramite tecniche di confronto matematiche come la somiglianza coseno.
Utilizza il modello embedding-001 con embedContents o batchEmbedContents:
curl https://generativelanguage.googleapis.com/v1beta/models/embedding-001:embedContent?key=$GOOGLE_API_KEY \-H 'Content-Type: application/json' \-X POST \-d '{"model": "models/embedding-001","content": {"parts":[{"text": "Write a story about a magic backpack."}]} }' 2> /dev/null | head
{
"embedding": {
"values": [
0.008624583,
-0.030451821,
-0.042496547,
-0.029230341,
0.05486475,
0.006694871,
0.004025645,
curl https://generativelanguage.googleapis.com/v1beta/models/embedding-001:batchEmbedContents?key=$GOOGLE_API_KEY \-H 'Content-Type: application/json' \-X POST \-d '{"requests": [{"model": "models/embedding-001","content": {"parts":[{"text": "Write a story about a magic backpack."}]} }]}' 2> /dev/null | head
{
"embeddings": [
{
"values": [
0.008624583,
-0.030451821,
-0.042496547,
-0.029230341,
0.05486475,
0.006694871,
Informazioni sul modello
Recupero modello
Se GET l'URL di un modello, l'API utilizza il metodo get per restituire informazioni sul modello, come la versione, il nome visualizzato, il limite di token di input e così via.
curl https://generativelanguage.googleapis.com/v1beta/models/gemini-pro?key=$GOOGLE_API_KEY
{
"name": "models/gemini-pro",
"version": "001",
"displayName": "Gemini Pro",
"description": "The best model for scaling across a wide range of tasks",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.9,
"topP": 1,
"topK": 1
}
Elenco modelli
Se GET la directory models, verrà utilizzato il metodo list per elencare tutti i modelli disponibili tramite l'API, inclusi sia i modelli della famiglia Gemini sia quelli della famiglia PaLM.
curl https://generativelanguage.googleapis.com/v1beta/models?key=$GOOGLE_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",
"countTextTokens",
"createTunedTextModel"
],
"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",
"countTextTokens"
]
},
{
"name": "models/embedding-gecko-002",
"version": "002",
"displayName": "Embedding Gecko 002",
"description": "Obtain a distributed representation of a text.",
"inputTokenLimit": 2048,
"outputTokenLimit": 1,
"supportedGenerationMethods": [
"embedText",
"countTextTokens"
]
},
{
"name": "models/gemini-pro",
"version": "001",
"displayName": "Gemini Pro",
"description": "The best model for scaling across a wide range of tasks",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.9,
"topP": 1,
"topK": 1
},
{
"name": "models/gemini-pro-vision",
"version": "001",
"displayName": "Gemini Pro Vision",
"description": "The best image understanding model to handle a broad range of applications",
"inputTokenLimit": 12288,
"outputTokenLimit": 4096,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.4,
"topP": 1,
"topK": 32
},
{
"name": "models/gemini-ultra",
"version": "001",
"displayName": "Gemini Ultra",
"description": "The most capable model for highly complex tasks",
"inputTokenLimit": 30720,
"outputTokenLimit": 2048,
"supportedGenerationMethods": [
"generateContent",
"countTokens"
],
"temperature": 0.9,
"topP": 1,
"topK": 32
},
{
"name": "models/embedding-001",
"version": "001",
"displayName": "Embedding 001",
"description": "Obtain a distributed representation of a text.",
"inputTokenLimit": 2048,
"outputTokenLimit": 1,
"supportedGenerationMethods": [
"embedContent",
"countTextTokens"
]
},
{
"name": "models/aqa",
"version": "001",
"displayName": "Model that performs Attributed Question Answering.",
"description": "Model trained to return answers to questions that are grounded in provided sources, along with estimating answerable probability.",
"inputTokenLimit": 7168,
"outputTokenLimit": 1024,
"supportedGenerationMethods": [
"generateAnswer"
],
"temperature": 0.2,
"topP": 1,
"topK": 40
}
]
}