ParthJain18/fluent_flow
FlutterとPythonバックエンドを使用して構築されたAndroidアプリで、ライブ会話をリアルタイムで翻訳し、会話の履歴とロジスティック回帰モデルを活用して、現在の会話に返信の提案が必要かどうかを判断します。返信の提案が必要な場合、GoogleのGemini APIを使用して返信の提案を生成します。
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- 4
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- 最終プッシュ（UTC）
- 2024/05/19
- プロジェクト状態
- 公開中
Parth Jain ↗
技術トピック
使用している依存関係
依存関係一覧 15 件
- flutter
{"sdk":"flutter"} - provider
any - cupertino_icons
^1.0.8 - http
^1.2.1 - shared_preferences
^2.2.3 - speech_to_text
^6.5.1 - permission_handler
^11.3.1 - flutter_sound
^9.4.6 - path_provider
^2.1.3 - html
any - camera
any - html_unescape
any - http_parser
any - flutter_test開発用
{"sdk":"flutter"} - flutter_lints開発用
^3.0.0
元の README
以下は英語原文のスナップショットです。最新版は GitHub をご覧ください。
README を開く / 閉じる
Fluent Flow
A language translation app built using Flutter and Python backend.
It translates live conversations from one language to another, then uses the history of the conversation and a logistic regression model to determine whether the current conversation needs any reply suggestions or not (Basically, we check if a LLM can be used to generate a reply suggestion or not, because if the conversation is personal, there is no need to generate any suggestions). If the conversation needs a generated reply, Google's Gemini API is used to generate possible reply suggestions.
The user can also generate a summary for the conversation if needed, and the app can be used to translate written text using the camera.
Screenshots
| Suggestions Example | Translation Example |
|---|---|
| WhatsApp Image 2024-04-04 at 23 44 28_7158d8e1 | WhatsApp Image 2024-04-04 at 23 46 53_f1590e79 |
| Summary Example | Camera Example |
| WhatsApp Image 2024-04-04 at 23 46 03_1f69797a | WhatsApp Image 2024-05-06 at 11 08 37_2264cdc5 |
| WhatsApp Image 2024-05-06 at 11 08 37_6bbe35da |
Flowchart
image