| --- |
| license: mit |
| language: en |
| tags: |
| - rnn |
| - lstm |
| - chatbot |
| - dialogue-generation |
| - funny |
| pretty_name: "RNN AI-bot - The Apologetic Seat Obsessor" |
| --- |
| |
| # RNN AI-bot |
|
|
| This is a small, simple, and **grammatically flawless** but semantically clueless chatbot. It was trained on the DailyDialog dataset using a character-level RNN (LSTM) with a vocabulary of 10,002 tokens (including PAD and UNK). |
|
|
| ## Model Details |
|
|
| - **Architecture**: LSTM (256 units) + Embedding (128 dims) |
| - **Input Length**: 50 tokens (context window) |
| - **Vocabulary Size**: 10,002 |
| - **Training Data**: DailyDialog (13k dialogues, ~8 turns each) |
| - **Framework**: TensorFlow/Keras |
|
|
| ## How to Use |
|
|
| ```python |
| from tensorflow.keras.models import load_model |
| from tensorflow.keras.preprocessing.sequence import pad_sequences |
| |
| model = load_model("best_model.h5") |
| |
| # You'll need the word list and ID mappings. |
| # See the GitHub repo for full chat script.Performance & Quirks |
| The model generates grammatically correct English sentences but has no semantic understanding. It tends to: |
| |
| Apologize excessively ("I am sorry.") |
| |
| Obsess over the word "seat" |
| |
| Insert "?" randomly |
| |
| Get stuck in repetitive loops |
| |
| Example Conversation |
| text |
| User: How are you? |
| Bot: I am a student in the mood for a while . |
| User: What are you studying? |
| Bot: I am applying for a vacation . |
| User: Did you get the vacation? |
| Bot: Yes , I am going to get a lot of the ? . |
| User: Where will you go? |
| Bot: I don't know what's a ? . |
| User: Seat? |
| Bot: Yes , I am going to get a lot of the ? . |
| User: ? |
| Bot: I don't know what's a seat . |
| Why Does It Behave Like This? |
| Small training: Only 10 epochs on CPU. |
| |
| Limited context: 50-token window. |
| |
| No pretrained embeddings: Learned everything from scratch. |
| |
| Data bias: The word "seat" appears frequently in DailyDialog. |
| |
| Full Source Code |
| All preprocessing, training, and chat scripts are available on GitHub: |
| |
| 👉 zyxdtt/Fun-Project/tree/main/RNN_AI-bot |
| |
| There you'll find: |
| |
| preprocessing.cpp – C++ data pipeline |
| |
| RNN_train.py – Model training code |
| |
| chat_test.py – Interactive chat script |
| |
| Chat screenshots showing its hilarious responses |
| |
| Fun Fact |
| This is the first AI project completed by a university freshman. It may be dumb, but it's 100% my own work — from data processing to deployment. |
| |
| This bot proves that perfect grammar doesn't equal intelligence. It's a lesson in overfitting, data bias, and the importance of semantics. 😅 |
