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; } }