- Recipes
- DALL-E (OpenAI) images to Pinecone
Connect DALL-E (OpenAI) images and Pinecone in our serverless environment
Use this template to Generate DALL-E (OpenAI) images using them to upserts vectors into a Pinecone index.
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Generate DALL-E (OpenAI) images
Used integrations:
- JavaScript
- Python
class OpenaiSourceGenerateImages {
async init() {
// TODO: Create your OpenAI credential
// More info at https://yepcode.io/docs/integrations/openai/#credential-configuration
this.openai = yepcode.integration.openai("your-openai-credential-name");
}
async fetch(publish, done) {
// TODO: Configure your prompt
const prompts = [
"A cute baby sea otter",
"A happy little cloud",
"A grumpy potato",
"A sleepy owl",
"A mischievous kitten",
"A nerdy giraffe",
"A hipster penguin",
"A jolly llama",
"A clumsy elephant",
"A sassy flamingo",
"A quirky squirrel",
];
for (const prompt of prompts) {
// More info at: https://platform.openai.com/docs/api-reference/images
const response = await this.openai.images.generate({
prompt: prompt,
n: 1,
size: "1024x1024",
});
await publish(response.data);
}
done();
}
async close() {}
}
class OpenaiSourceGenerateImages:
def setup(self):
# TODO: Create your OpenAI credential
# More info at https://yepcode.io/docs/integrations/openai/#credential-configuration
self.openai = yepcode.integration.openai("your-openai-credential-name")
def generator(self):
# TODO: Configure your prompt
# More info at: https://platform.openai.com/docs/api-reference/images
prompts = [
"A cute baby sea otter",
"A happy little cloud",
"A grumpy potato",
"A sleepy owl",
"A mischievous kitten",
"A nerdy giraffe",
"A hipster penguin",
"A jolly llama",
"A clumsy elephant",
"A sassy flamingo",
"A quirky squirrel"
]
for prompt in prompts:
response = self.openai.images.generate(
prompt=prompt,
n=1,
size="256x256"
)
yield response
def close(self):
pass
Do you need help solving this integration with YepCode?
Let's talkUpserts vectors into a Pinecone index
Used integrations:
- JavaScript
- Python
class PineconeTargetUpsertVectors {
async init() {
// TODO: Create your pinecone credential
// More info at https://yepcode.io/docs/integrations/pinecone/#credential-configuration
this.pineconeClient = yepcode.integration.pinecone(
"your-pinecone-credential-name"
);
// TODO: Select the index name you want to recover.
// More info at https://docs.pinecone.io/docs/node-client#index
this.index = await this.pineconeClient.Index("your-index-name");
this.vectors = [];
}
async consume(item) {
// TODO: Save vectors you want to upsert into a namespace.
this.vectors.push({
id: item.id,
values: item.values,
metadata: item.metadata,
});
}
async close() {
// TODO: Write vectors into a namespace.
// More info at https://docs.pinecone.io/docs/node-client#indexupsert
await this.index.upsert({
upsertRequest: {
vectors: this.vectors,
namespace: "your-namespace",
},
});
}
}
class PineconeTargetUpsertVectors:
def setup(self):
# TODO: Create your Pinecone credential:
# More info at https://yepcode.io/docs/integrations/pinecone/#credential-configuration
self.pinecone_client = yepcode.integration.pinecone(
"your-pinecone-credential-name"
)
# TODO: Select the index name you want to recover
# More info at: https://docs.pinecone.io/docs/python-client#index
self.index = self.pinecone_client.Index("your-index-name")
self.vectors = []
def consume(self, generator):
# TODO: Save vectors you want to upsert into a namespace.
for item in generator:
self.vectors.append(
{
"id": item.id,
"values": item.values,
"metadata": item.metadata,
}
)
def close(self):
# TODO: Write vectors into a namespace.
# More info at: https://docs.pinecone.io/docs/python-client#indexupsert
self.index.upsert(self.vectors, namespace="your-namespace")
pass
FAQs
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