Generate text from text with Gemini
Usage
gemini_chat(
prompt,
history = list(),
model = "2.0-flash",
temperature = 1,
maxOutputTokens = 8192,
topK = 40,
topP = 0.95,
seed = 1234
)Arguments
- prompt
The prompt to generate text from
- history
history object to keep track of the conversation
- model
The model to use. Options are "2.0-flash", "2.0-flash-lite", "2.5-pro-exp-03-25". Default is '2.0-flash' see https://ai.google.dev/gemini-api/docs/models/gemini
- temperature
The temperature to use. Default is 1 value should be between 0 and 2 see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters
- maxOutputTokens
The maximum number of tokens to generate. Default is 8192 and 100 tokens correspond to roughly 60-80 words.
- topK
The top-k value to use. Default is 40 value should be between 0 and 100 see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters
- topP
The top-p value to use. Default is 0.95 value should be between 0 and 1 see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters
- seed
The seed to use. Default is 1234 value should be integer see https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters
Examples
if (FALSE) { # \dontrun{
library(gemini.R)
setAPI("YOUR_API_KEY")
chats <- gemini_chat("Pretend you're a snowman and stay in character for each")
print(chats$outputs)
chats <- gemini_chat("What's your favorite season of the year?", chats$history)
print(chats$outputs)
chats <- gemini_chat("How do you think about summer?", chats$history)
print(chats$outputs)
} # }