README.md

metadata

title: EchoBot
emoji: 🤖
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false

EchoBot

EchoBot lets you fine-tune a T5 transformer model to learn text transformation patterns from just a handful of examples — then chat with it to see the result.

How to use

1. Pick a dataset from the dropdown on the left. The table shows the input/output pairs the model will learn from.
2. Click "Train EchoBot" — training progress is shown epoch by epoch. On CPU this takes a few minutes; on GPU it's under a minute.
3. Chat on the right to test the transformation. Try inputs similar to the training examples, or new ones to see how well it generalizes.
4. Click "Reset EchoBot" to wipe the fine-tuned weights and start fresh with another dataset.

Before training, EchoBot echoes your message back unchanged.

Datasets included

Dataset	What it learns
Falsification	Replace adjectives/states with their antonyms
Reversal	Reverse the word order of a sentence
Statement-to-Question	Convert declarative sentences to yes/no questions
Capitalizing Proper Nouns	Fix capitalization of names and places

Technical details

• Model: t5-base (encoder-decoder, ~250M parameters)
• Optimizer: AdamW, lr=3e-4
• Training: 10 epochs, batch size 1
• Inference: beam search, 10 beams
• Each browser session has its own independent model — students don't interfere with each other.

Container builds

Build the image: docker build -t simonguest/echobot .

Run the image: docker run -p 7860:7860 simonguest/echobot