package eu.faircode.email;
/*
This file is part of FairEmail.
FairEmail is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
FairEmail is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with FairEmail. If not, see .
Copyright 2018-2024 by Marcel Bokhorst (M66B)
*/
import android.content.Context;
import android.content.SharedPreferences;
import android.text.Spannable;
import android.text.SpannableStringBuilder;
import android.text.TextUtils;
import androidx.preference.PreferenceManager;
import org.json.JSONException;
import org.jsoup.nodes.Document;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
public class AI {
static boolean isAvailable(Context context) {
return (OpenAI.isAvailable(context) || Gemini.isAvailable(context));
}
static String completeChat(Context context, long id, CharSequence body) throws JSONException, IOException {
if (body == null || body.length() == 0)
return null;
if (OpenAI.isAvailable(context)) {
SharedPreferences prefs = PreferenceManager.getDefaultSharedPreferences(context);
String model = prefs.getString("openai_model", OpenAI.DEFAULT_MODEL);
float temperature = prefs.getFloat("openai_temperature", OpenAI.DEFAULT_TEMPERATURE);
OpenAI.Message message;
if (body instanceof Spannable)
message = new OpenAI.Message(OpenAI.USER, OpenAI.Content.get((Spannable) body, id, context));
else
message = new OpenAI.Message(OpenAI.USER, new OpenAI.Content[]{
new OpenAI.Content(OpenAI.CONTENT_TEXT, body.toString())});
OpenAI.Message[] completions =
OpenAI.completeChat(context, model, new OpenAI.Message[]{message}, temperature, 1);
StringBuilder sb = new StringBuilder();
for (OpenAI.Message completion : completions)
for (OpenAI.Content content : completion.getContent())
if (OpenAI.CONTENT_TEXT.equals(content.getType())) {
if (sb.length() > 0)
sb.append('\n');
sb.append(content.getContent()
.replaceAll("^\\n+", "").replaceAll("\\n+$", ""));
}
return sb.toString();
} else if (Gemini.isAvailable(context)) {
SharedPreferences prefs = PreferenceManager.getDefaultSharedPreferences(context);
String model = prefs.getString("gemini_model", Gemini.DEFAULT_MODEL);
float temperature = prefs.getFloat("gemini_temperature", Gemini.DEFAULT_TEMPERATURE);
Gemini.Message message = new Gemini.Message(Gemini.USER,
new String[]{Gemini.truncateParagraphs(body.toString())});
Gemini.Message[] completions = Gemini.generate(context, model, new Gemini.Message[]{message}, temperature, 1);
if (completions.length == 0)
return null;
return TextUtils.join("\n", completions[0].getContent())
.replaceAll("^\\n+", "").replaceAll("\\n+$", "");
} else
return null;
}
static String getSummarizePrompt(Context context) {
SharedPreferences prefs = PreferenceManager.getDefaultSharedPreferences(context);
if (OpenAI.isAvailable(context))
return prefs.getString("openai_summarize", OpenAI.DEFAULT_SUMMARY_PROMPT);
else if (Gemini.isAvailable(context))
return prefs.getString("gemini_summarize", Gemini.DEFAULT_SUMMARY_PROMPT);
else
return context.getString(R.string.title_summarize);
}
static String summarize(Context context, long id, String subject, Document d) throws JSONException, IOException {
SharedPreferences prefs = PreferenceManager.getDefaultSharedPreferences(context);
if (OpenAI.isAvailable(context)) {
String model = prefs.getString("openai_model", OpenAI.DEFAULT_MODEL);
float temperature = prefs.getFloat("openai_temperature", OpenAI.DEFAULT_TEMPERATURE);
String prompt = prefs.getString("openai_summarize", OpenAI.DEFAULT_SUMMARY_PROMPT);
List input = new ArrayList<>();
input.add(new OpenAI.Message(OpenAI.USER,
new OpenAI.Content[]{new OpenAI.Content(OpenAI.CONTENT_TEXT, prompt)}));
if (!TextUtils.isEmpty(subject))
input.add(new OpenAI.Message(OpenAI.USER,
new OpenAI.Content[]{new OpenAI.Content(OpenAI.CONTENT_TEXT, subject)}));
SpannableStringBuilder ssb = HtmlHelper.fromDocument(context, d, null, null);
input.add(new OpenAI.Message(OpenAI.USER,
OpenAI.Content.get(ssb, id, context)));
OpenAI.Message[] result =
OpenAI.completeChat(context, model, input.toArray(new OpenAI.Message[0]), temperature, 1);
if (result.length == 0)
return null;
StringBuilder sb = new StringBuilder();
for (OpenAI.Message completion : result)
for (OpenAI.Content content : completion.getContent())
if (OpenAI.CONTENT_TEXT.equals(content.getType())) {
if (sb.length() != 0)
sb.append('\n');
sb.append(content.getContent());
}
return sb.toString();
} else if (Gemini.isAvailable(context)) {
String model = prefs.getString("gemini_model", Gemini.DEFAULT_MODEL);
float temperature = prefs.getFloat("gemini_temperature", Gemini.DEFAULT_TEMPERATURE);
String prompt = prefs.getString("gemini_summarize", Gemini.DEFAULT_SUMMARY_PROMPT);
String text = d.text();
if (TextUtils.isEmpty(text))
return null;
Gemini.Message content = new Gemini.Message(Gemini.USER, new String[]{prompt, text});
Gemini.Message[] result =
Gemini.generate(context, model, new Gemini.Message[]{content}, temperature, 1);
if (result.length == 0)
return null;
return TextUtils.join("\n", result[0].getContent());
} else
return null;
}
}