/
Gemini.kt
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/
Gemini.kt
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/*
* Gemini.kt
*
* Copyright 2004-2024 Erik C. Thauvin (erik@thauvin.net)
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* Neither the name of this project nor the names of its contributors may be
* used to endorse or promote products derived from this software without
* specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package net.thauvin.erik.mobibot.modules
import com.google.cloud.vertexai.VertexAI
import com.google.cloud.vertexai.api.GenerationConfig
import com.google.cloud.vertexai.api.HarmCategory
import com.google.cloud.vertexai.api.SafetySetting
import com.google.cloud.vertexai.generativeai.ChatSession
import com.google.cloud.vertexai.generativeai.GenerativeModel
import com.google.cloud.vertexai.generativeai.ResponseHandler
import net.thauvin.erik.mobibot.Utils
import net.thauvin.erik.mobibot.Utils.sendMessage
import org.pircbotx.hooks.types.GenericMessageEvent
import org.slf4j.Logger
import org.slf4j.LoggerFactory
import java.util.*
class Gemini : AbstractModule() {
private val logger: Logger = LoggerFactory.getLogger(Gemini::class.java)
override val name = GEMINI_NAME
override fun commandResponse(channel: String, cmd: String, args: String, event: GenericMessageEvent) {
if (args.isNotBlank()) {
try {
val answer = chat(
args.trim(),
properties[PROJECT_ID_PROP],
properties[LOCATION_PROPR],
properties.getOrDefault(MAX_TOKENS_PROP, "1024").toInt()
)
if (!answer.isNullOrEmpty()) {
event.sendMessage(answer)
} else {
event.respond("$name is stumped.")
}
} catch (e: ModuleException) {
if (logger.isWarnEnabled) logger.warn(e.debugMessage, e)
e.message?.let {
event.respond(it)
}
}
} else {
helpResponse(event)
}
}
companion object {
/**
* The service name.
*/
const val GEMINI_NAME = "Gemini"
/**
* The Google cloud project ID.
*/
const val PROJECT_ID_PROP = "gemini-project-id"
/**
* The Vertex AI location.
*/
const val LOCATION_PROPR = "gemini-location"
/**
* The max tokens property.
*/
const val MAX_TOKENS_PROP = "gemini-max-tokens"
// Gemini command
private const val GEMINI_CMD = "gemini"
@JvmStatic
@Throws(ModuleException::class)
fun chat(
query: String,
projectId: String?,
location: String?,
maxToken: Int
): String? {
if (!projectId.isNullOrEmpty() && !location.isNullOrEmpty()) {
try {
VertexAI(projectId, location).use { vertexAI ->
val generationConfig = GenerationConfig.newBuilder().setMaxOutputTokens(maxToken).build()
val safetySettings = Arrays.asList(
SafetySetting.newBuilder()
.setCategory(HarmCategory.HARM_CATEGORY_HATE_SPEECH)
.setThreshold(SafetySetting.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE)
.build(),
SafetySetting.newBuilder()
.setCategory(HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT)
.setThreshold(SafetySetting.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE)
.build(),
SafetySetting.newBuilder()
.setCategory(HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT)
.setThreshold(SafetySetting.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE)
.build(),
SafetySetting.newBuilder()
.setCategory(HarmCategory.HARM_CATEGORY_HARASSMENT)
.setThreshold(SafetySetting.HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE)
.build()
)
val model = GenerativeModel.Builder().setModelName("gemini-pro-vision")
.setGenerationConfig(generationConfig)
.setVertexAi(vertexAI).build()
.withSafetySettings(safetySettings)
val session = ChatSession(model)
val response = session.sendMessage(query)
return ResponseHandler.getText(response)
}
} catch (e: Exception) {
throw ModuleException(
"$GEMINI_CMD($query): IO",
"An IO error has occurred while conversing with ${GEMINI_NAME}.",
e
)
}
} else {
throw ModuleException("${GEMINI_CMD}($query)", "No $GEMINI_NAME Project ID or Location specified.")
}
}
}
init {
commands.add(GEMINI_CMD)
with(help) {
add("To get answers from $name:")
add(Utils.helpFormat("%c $GEMINI_CMD <query>"))
add("For example:")
add(Utils.helpFormat("%c $GEMINI_CMD explain quantum computing in simple terms"))
add(Utils.helpFormat("%c $GEMINI_CMD how do I make an HTTP request in Javascript?"))
}
initProperties(PROJECT_ID_PROP, LOCATION_PROPR, MAX_TOKENS_PROP)
}
}