diff --git a/.github/AUTHORS.md b/.github/AUTHORS.md
index 1034b56..c80b5f1 100644
--- a/.github/AUTHORS.md
+++ b/.github/AUTHORS.md
@@ -1,2 +1,2 @@
 ## Author(s)
--[Jeremy Vachier](https://github.com/jvachier)
\ No newline at end of file
+-[Jeremy Vachier](https://github.com/jvachier)
diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
index 0671db0..b9ac41d 100644
--- a/.github/CODEOWNERS
+++ b/.github/CODEOWNERS
@@ -1 +1 @@
-* @jvachier
\ No newline at end of file
+* @jvachier
diff --git a/.github/CONTRIBUTORS.md b/.github/CONTRIBUTORS.md
index 29f9da5..3de566b 100644
--- a/.github/CONTRIBUTORS.md
+++ b/.github/CONTRIBUTORS.md
@@ -1,4 +1,4 @@
 # Contributor(s)
 
 ## Main contributor(s)
--[Jeremy Vachier](https://github.com/jvachier)
\ No newline at end of file
+-[Jeremy Vachier](https://github.com/jvachier)
diff --git a/.github/ISSUE_TEMPLATE/issue_template.md b/.github/ISSUE_TEMPLATE/issue_template.md
index 0383191..f6b82f0 100644
--- a/.github/ISSUE_TEMPLATE/issue_template.md
+++ b/.github/ISSUE_TEMPLATE/issue_template.md
@@ -16,9 +16,9 @@
 
 ## Steps to Reproduce
 <!-- For bugs, provide a step-by-step guide to reproduce the issue. Skip this section for feature requests. -->
-1. 
-2. 
-3. 
+1.
+2.
+3.
 
 ## Expected Behavior
 <!-- Describe what you expected to happen. -->
diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index 6dc306c..f36f34e 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -24,4 +24,4 @@ Before submitting your pull request, ensure the following:
 - [ ] I have added or updated relevant documentation (if applicable).
 - [ ] My changes do not introduce any new warnings or errors.
 - [ ] I have checked for security vulnerabilities in the code.
-- [ ] I have ensured backward compatibility (if applicable).
\ No newline at end of file
+- [ ] I have ensured backward compatibility (if applicable).
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index c5f5134..65a3e01 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -25,23 +25,30 @@ jobs:
     steps:
       # Checkout the repository
       - name: Checkout code
-        uses: actions/checkout@v3
+        uses: actions/checkout@v4
 
       # Set up Python
       - name: Set up Python
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v5
         with:
           python-version: "3.11"
 
-      # Install dependencies
+      # Install uv
+      - name: Install uv
+        uses: astral-sh/setup-uv@v2
+
+      # Install dependencies (dev only, audio not needed for tests)
       - name: Install dependencies
         run: |
-          python -m pip install --upgrade pip
-          pip install poetry
-          poetry config virtualenvs.create false
-          poetry install --without macos --without pyaudio --without kaggle
+          uv sync --extra dev
+
+      # Run code quality checks
+      - name: Run code quality checks
+        run: |
+          uv run ruff check ./src ./app ./tests
+          uv run ruff format --check ./src ./app ./tests
 
-      # Run pytest
+      # Run pytest (excludes audio-dependent modules like speech_to_text)
       - name: Run tests with pytest
         run: |
-          poetry run pytest
\ No newline at end of file
+          uv run pytest
diff --git a/.gitignore b/.gitignore
index 9fc6de9..e937e12 100644
--- a/.gitignore
+++ b/.gitignore
@@ -105,7 +105,10 @@ ipython_config.py
 #   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
 #   This is especially recommended for binary packages to ensure reproducibility, and is more
 #   commonly ignored for libraries.
-#uv.lock
+# uv
+#   uv.lock should be committed to version control for reproducible builds
+#   This is especially recommended for applications to ensure reproducibility
+# uv.lock
 
 # poetry
 #   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
@@ -185,4 +188,4 @@ vosk-model-en-us-0.22/
 vosk-model-small-sv-rhasspy-0.15/
 recognized_text.txt
 src/models/*.keras
-src/models/*.json
\ No newline at end of file
+src/models/*.json
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 0000000..1d281a5
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,34 @@
+# Pre-commit hooks configuration
+# See https://pre-commit.com for more information
+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.6.0
+    hooks:
+      - id: trailing-whitespace
+      - id: end-of-file-fixer
+      - id: check-merge-conflict
+      - id: check-yaml
+      - id: check-toml
+      - id: check-json
+      - id: check-added-large-files
+
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.6.8
+    hooks:
+      - id: ruff
+        args: [--fix]
+        files: ^(src/|app/|tests/).*\.py$
+      - id: ruff-format
+        files: ^(src/|app/|tests/).*\.py$
+        # Make ruff-format more flexible - only run when SKIP_FORMAT is not set
+        stages: [manual]
+
+  - repo: local
+    hooks:
+      - id: pytest
+        name: pytest
+        entry: uv run python -m pytest
+        language: system
+        pass_filenames: false
+        always_run: true
+        args: [tests/, -v]
diff --git a/Makefile b/Makefile
index 5346de4..68ab0ed 100644
--- a/Makefile
+++ b/Makefile
@@ -1,4 +1,47 @@
-ruff:
-	ruff check ./src ./app ./tests 
-	ruff check --fix ./src ./app ./tests 
-	ruff format ./src ./app ./tests 
\ No newline at end of file
+# Makefile for Sentiment Analysis
+.PHONY: help install test lint format clean run
+
+help: ## Show available commands
+	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-15s\033[0m %s\n", $$1, $$2}'
+
+install: ## Install all dependencies including audio support
+	uv sync --extra audio --extra dev
+
+install-audio: ## Install with audio dependencies only
+	uv sync --extra audio
+
+install-dev: ## Install development dependencies with audio support
+	uv sync --extra dev --extra audio
+
+test: ## Run tests with coverage
+	uv run python -m pytest tests/ --cov=src --cov=app --cov-report=term
+
+lint: ## Check and fix code quality
+	uv run ruff check --fix ./src ./app ./tests
+	uv run ruff format ./src ./app ./tests
+
+format: ## Format code only
+	uv run ruff format ./src ./app ./tests
+
+format-check: ## Check if code needs formatting (without changing files)
+	uv run ruff format --check ./src ./app ./tests
+
+run: ## Run the Dash application
+	uv run python app/voice_to_text_app.py
+
+pre-commit-install: ## Install pre-commit hooks
+	uv run pre-commit install
+
+pre-commit: ## Run pre-commit hooks on all files (excluding format)
+	SKIP=ruff-format uv run pre-commit run --all-files
+
+pre-commit-format: ## Run pre-commit including manual formatting stage
+	uv run pre-commit run --all-files --hook-stage manual
+
+pre-commit-full: ## Run all pre-commit hooks including formatting
+	uv run pre-commit run --all-files --hook-stage manual --hook-stage commit
+
+clean: ## Remove temporary files
+	find . -name "__pycache__" -type d -exec rm -rf {} +
+	find . -name "*.pyc" -delete
+	rm -rf .coverage htmlcov/ .pytest_cache/
diff --git a/README.md b/README.md
index 0c8b88e..6229d30 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,8 @@
 [![Deep Learning](https://img.shields.io/badge/Deep%20Learning-TensorFlow-orange)](https://www.tensorflow.org/)
 [![Keras](https://img.shields.io/badge/Keras-red)](https://keras.io/)
 [![TensorFlow](https://img.shields.io/badge/TensorFlow-2.0%2B-orange)](https://www.tensorflow.org/)
-[![Python](https://img.shields.io/badge/Python-3.8%2B-blue)](https://www.python.org/)
+[![Python](https://img.shields.io/badge/Python-3.11%2B-blue)](https://www.python.org/)
+[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)
 [![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
 
 # Sentiment Analysis and Translation
@@ -49,17 +50,21 @@ The sentiment analysis and translation models included in this repository are **
 ## Installation
 
 ### Prerequisites
-- Python 3.8 or higher
-- Poetry for dependency management
+- Python 3.11 or higher
+- uv for fast dependency management (10-100x faster than pip/poetry)
 
 ### Install Dependencies
-1. Install Poetry:
+1. Install uv:
    ```bash
-   pip install poetry
+   pip install uv
+   ```
+   Or on macOS/Linux:
+   ```bash
+   curl -LsSf https://astral.sh/uv/install.sh | sh
    ```
 2. Install project dependencies:
    ```bash
-   poetry install
+   uv sync
    ```
 
 ### Download the Vosk Model
@@ -75,6 +80,26 @@ The sentiment analysis and translation models included in this repository are **
    └── ...
    ```
 
+### Quick Start with Makefile
+For easier development workflow, use the provided Makefile:
+
+```bash
+# Install all dependencies
+make install
+
+# Run tests
+make test
+
+# Check code quality
+make lint
+
+# Run the application
+make run
+
+# See all available commands
+make help
+```
+
 ---
 
 ## Required Datasets
@@ -109,7 +134,7 @@ Sentiment_Analysis/
 │   │   ├── sentiment_keras_binary.keras
 │   │   ├── transformer_best_model.keras
 │   │   ├── optuna_model_binary.json               # Best binary classification model parameters from Optuna
-│   │   └── optuna_transformer_best_params.json    # Best transformer model hyperparameters from Optuna 
+│   │   └── optuna_transformer_best_params.json    # Best transformer model hyperparameters from Optuna
 │   ├── configurations/             # Configuration files
 │   │   ├── model_builder_config.json
 │   │   ├── model_trainer_config.json
@@ -150,7 +175,7 @@ Sentiment_Analysis/
 ├── .gitignore                      # Git ignore file
 ├── LICENSE                         # License file
 ├── Makefile                        # Makefile for common tasks
-├── pyproject.toml                  # Poetry configuration file
+├── pyproject.toml                  # uv configuration file
 ├── README.md                       # Project documentation
 └── ruff.toml                       # Ruff configuration file
 ```
@@ -162,7 +187,7 @@ Sentiment_Analysis/
 ### Interactive Application
 1. **Run the Application**:
    ```bash
-   poetry run python app/voice_to_text_app.py
+   uv run python app/voice_to_text_app.py
    ```
 2. **Features**:
    - **Start Recording**: Begin recording your speech.
@@ -175,7 +200,7 @@ Sentiment_Analysis/
 ### Sentiment Analysis
 1. **Train or Load the Model**:
    ```bash
-   poetry run python src/sentiment_analysis.py
+   uv run python src/sentiment_analysis.py
    ```
    - If a saved model exists, it will be loaded.
    - Otherwise, a new model will be trained and saved in the `src/models/` folder.
@@ -190,7 +215,7 @@ Sentiment_Analysis/
    Place your English-French dataset in the `src/data/` folder.
 2. **Train or Load the Model**:
    ```bash
-   poetry run python src/translation_french_english.py
+   uv run python src/translation_french_english.py
    ```
    - If a saved model exists, it will be loaded.
    - Otherwise, a new model will be trained and saved in the `src/models/` folder.
@@ -215,9 +240,3 @@ Sentiment_Analysis/
 This project is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for details.
 
 ---
-
-## About
-
-This repository is designed for researchers, developers, and enthusiasts interested in exploring advanced NLP techniques. It provides a practical implementation of speech-to-text, sentiment analysis, and translation pipelines, along with an interactive web application.
-
-For questions or feedback, feel free to open an issue or contact the repository maintainers.
\ No newline at end of file
diff --git a/app/README.md b/app/README.md
index 814a1b2..be61663 100644
--- a/app/README.md
+++ b/app/README.md
@@ -38,9 +38,9 @@ Before running the application, ensure you have:
    - Ensure the sentiment analysis inference model is available at the path defined in `ModelPaths.INFERENCE_MODEL.value`.
 
 5. **Dependencies**:
-   - Install all project dependencies using Poetry:
+   - Install all project dependencies using uv:
      ```bash
-     poetry install
+     uv sync
      ```
 
 ## How to Run
@@ -48,7 +48,7 @@ Before running the application, ensure you have:
 From the project root directory:
 
 ```bash
-poetry run python app.py
+uv run python app/voice_to_text_app.py
 ```
 
 The application will start and be accessible at: [http://127.0.0.1:8050](http://127.0.0.1:8050)
@@ -100,4 +100,4 @@ If you encounter issues:
 ## Development Notes
 
 - The app runs in debug mode by default.
-- For production deployment, set `debug=False` in the `app.run_server()` method.
\ No newline at end of file
+- For production deployment, set `debug=False` in the `app.run_server()` method.
diff --git a/app/__init__.py b/app/__init__.py
index e69de29..edabda9 100644
--- a/app/__init__.py
+++ b/app/__init__.py
@@ -0,0 +1 @@
+# App package
diff --git a/app/voice_to_text_app.py b/app/voice_to_text_app.py
index 866af92..f38ab8e 100644
--- a/app/voice_to_text_app.py
+++ b/app/voice_to_text_app.py
@@ -1,13 +1,19 @@
-import dash
-from dash import html, dcc
-from dash.dependencies import Input, Output, State
 import base64
 import logging
-from modules.speech_to_text import SpeechToText
-from translation_french_english import test_translation, transformer_model
-from modules.data_processor import DatasetProcessor, TextPreprocessor
-from modules.utils import ModelPaths
-from typing import Tuple, Any
+from typing import Any, Tuple
+
+import dash
+from dash import dcc, html
+from dash.dependencies import Input, Output, State
+
+
+from src.modules.data_processor import DatasetProcessor, TextPreprocessor
+from src.modules.speech_to_text import SpeechToText
+from src.modules.utils import ModelPaths
+from src.translation_french_english import (
+    translation_test as test_translation,
+    transformer_model,
+)
 
 # Configure logging
 logging.basicConfig(
diff --git a/poetry.lock b/poetry.lock
deleted file mode 100644
index 6afdec9..0000000
--- a/poetry.lock
+++ /dev/null
@@ -1,4129 +0,0 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
-
-[[package]]
-name = "absl-py"
-version = "2.2.2"
-description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
-optional = false
-python-versions = ">=3.8"
-files = [
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-    {file = "absl_py-2.2.2.tar.gz", hash = "sha256:bf25b2c2eed013ca456918c453d687eab4e8309fba81ee2f4c1a6aa2494175eb"},
-]
-
-[[package]]
-name = "alembic"
-version = "1.15.2"
-description = "A database migration tool for SQLAlchemy."
-optional = false
-python-versions = ">=3.9"
-files = [
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-    {file = "alembic-1.15.2.tar.gz", hash = "sha256:1c72391bbdeffccfe317eefba686cb9a3c078005478885413b95c3b26c57a8a7"},
-]
-
-[package.dependencies]
-Mako = "*"
-SQLAlchemy = ">=1.4.0"
-typing-extensions = ">=4.12"
-
-[package.extras]
-tz = ["tzdata"]
-
-[[package]]
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-version = "0.7.0"
-description = "Reusable constraint types to use with typing.Annotated"
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-    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
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-
-[[package]]
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-version = "0.7.1"
-description = "A file format that achieves a new frontier of IO efficiency"
-optional = false
-python-versions = ">=3.10"
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-
-[package.dependencies]
-absl-py = "*"
-etils = {version = "*", extras = ["epath"]}
-
-[package.extras]
-beam = ["apache-beam[gcp] (>=2.50.0)", "google-cloud-storage (>=2.11.0)", "tensorflow (>=2.14.0)"]
-
-[[package]]
-name = "astroid"
-version = "3.3.9"
-description = "An abstract syntax tree for Python with inference support."
-optional = false
-python-versions = ">=3.9.0"
-files = [
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-wheel = ">=0.23.0,<1.0"
-
-[[package]]
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-content-hash = "c67006f0a4504e9f35b46932bd79523dc1af09609a46f0c5293b557a9aaa69a4"
diff --git a/pyproject.toml b/pyproject.toml
index 3f71a79..15cdacf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,50 +1,70 @@
-[tool.poetry]
+[project]
 name = "sentiment-analysis"
 version = "0.1.0"
-description = ""
-authors = ["Jeremy Vachier"]
+description = "Sentiment Analysis and Translation with Speech-to-Text"
+authors = [
+    {name = "Jeremy Vachier"}
+]
 readme = "README.md"
+requires-python = ">=3.11,<3.12"
+classifiers = [
+    "Development Status :: 3 - Alpha",
+    "Intended Audience :: Developers",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    "License :: OSI Approved :: Apache Software License",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.11",
+]
 
-[tool.poetry.dependencies]
-python = ">=3.11,<3.12"
-numpy = "^1.26.2"
-pandas = "^2.1.4"
-matplotlib = "^3.8.2"
-scikit-learn = "^1.4.1.post1"
-datetime = "^5.4"
-statsmodels = "^0.14.1"
-pylint = "^3.0.3"
-scikit-optimize = "^0.9.0"
-black = "^24.1.1"
-ruff = "^0.2.1"
-pyarrow = "^15.0.0"
-wheel = "^0.45.1"
-dm-tree = "^0.1.8"
-tfds-nightly = "^4.9.7.dev202503080044"
-keras = "^3.9.0"
-nltk = "^3.9.1"
-transformers = "^4.49.0"
-optuna = "^4.2.1"
-dash = "^2.18.2"
-tensorflow = "^2.16.2"
-pytest = "^8.3.5"
-pydantic = "^2.11.3"
-python-dotenv = "^1.1.0"
-polars = "^1.27.1"
+dependencies = [
+    "numpy>=1.26.2",
+    "pandas>=2.1.4",
+    "matplotlib>=3.8.2",
+    "scikit-learn>=1.4.1",
+    "statsmodels>=0.14.1",
+    "pyarrow>=15.0.0",
+    "wheel>=0.45.1",
+    "dm-tree>=0.1.8",
+    "tfds-nightly>=4.9.7.dev202503080044",
+    "keras>=3.9.0",
+    "nltk>=3.9.1",
+    "transformers>=4.49.0",
+    "optuna>=4.2.1",
+    "dash>=2.18.2",
+    "tensorflow>=2.16.2",
+    "pydantic>=2.11.3",
+    "python-dotenv>=1.1.0",
+    "polars>=1.27.1",
+    "vosk>=0.3.44",
+]
 
-[tool.poetry.group.macos.dependencies]
-tensorflow-io-gcs-filesystem = "<0.35.0"
-tensorflow-metal = "^1.2.0"
-tensorflow-macos = "^2.16.2"
-
-[tool.poetry.group.pyaudio.dependencies]
-vosk = "0.3.44"
-pyaudio = "^0.2.14"
-
-[tool.poetry.group.kaggle.dependencies]
-kagglehub = "^0.3.11"
-kaggle = "^1.7.4.2"
+[project.optional-dependencies]
+dev = [
+    "pytest>=8.3.5",
+    "pytest-cov>=6.0.0",
+    "pylint>=3.0.3",
+    "black>=24.1.1",
+    "ruff>=0.2.1",
+    "scikit-optimize>=0.9.0",
+    "pre-commit>=4.0.0",
+]
+macos = [
+    "tensorflow-io-gcs-filesystem<0.35.0",
+    "tensorflow-metal>=1.2.0",
+    "tensorflow-macos>=2.16.2",
+]
+audio = [
+    "vosk==0.3.44",
+    "pyaudio>=0.2.14",
+]
+kaggle = [
+    "kagglehub>=0.3.11",
+    "kaggle>=1.7.4.2",
+]
 
 [build-system]
-requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src", "app"]
diff --git a/ruff.toml b/ruff.toml
index 632d805..16dc66f 100644
--- a/ruff.toml
+++ b/ruff.toml
@@ -74,4 +74,4 @@ docstring-code-format = false
 #
 # This only has an effect when the `docstring-code-format` setting is
 # enabled.
-docstring-code-line-length = "dynamic"
\ No newline at end of file
+docstring-code-line-length = "dynamic"
diff --git a/src/configurations/model_builder_config.json b/src/configurations/model_builder_config.json
index 136d942..929344e 100644
--- a/src/configurations/model_builder_config.json
+++ b/src/configurations/model_builder_config.json
@@ -3,4 +3,4 @@
     "max_token": 20000,
     "embedding_dim": 50,
     "dropout_rate": 0.5
-}
\ No newline at end of file
+}
diff --git a/src/configurations/model_trainer_config.json b/src/configurations/model_trainer_config.json
index 4e61c7c..1540086 100644
--- a/src/configurations/model_trainer_config.json
+++ b/src/configurations/model_trainer_config.json
@@ -1,4 +1,4 @@
 {
     "learning_rate": 0.0008659430202504234,
     "epochs": 5
-}
\ No newline at end of file
+}
diff --git a/src/modules/load_data.py b/src/modules/load_data.py
index e13e3d4..1893e26 100644
--- a/src/modules/load_data.py
+++ b/src/modules/load_data.py
@@ -1,7 +1,7 @@
 import pandas as pd
 import tensorflow as tf
 from pydantic import BaseModel, FilePath, Field, ValidationError
-from modules.utils import DatasetPaths
+from src.modules.utils import DatasetPaths
 
 
 class DataLoaderConfig(BaseModel):
diff --git a/src/modules/model_sentiment_analysis.py b/src/modules/model_sentiment_analysis.py
index fc06405..dfd169c 100644
--- a/src/modules/model_sentiment_analysis.py
+++ b/src/modules/model_sentiment_analysis.py
@@ -2,7 +2,7 @@
 import optuna
 import json
 import logging
-from modules.utils import ModelPaths, OptunaPaths
+from src.modules.utils import ModelPaths, OptunaPaths
 
 
 class ModelTrainer:
diff --git a/src/modules/optuna_transformer.py b/src/modules/optuna_transformer.py
index 97ae668..b3dd650 100644
--- a/src/modules/optuna_transformer.py
+++ b/src/modules/optuna_transformer.py
@@ -1,7 +1,7 @@
 import optuna
 import tensorflow as tf
-from modules.data_processor import DatasetProcessor, TextPreprocessor
-from modules.transformer_components import (
+from src.modules.data_processor import DatasetProcessor, TextPreprocessor
+from src.modules.transformer_components import (
     PositionalEmbedding,
     TransformerEncoder,
     TransformerDecoder,
diff --git a/src/modules/sentiment_analysis_utils.py b/src/modules/sentiment_analysis_utils.py
index 5c67cc5..c708a0a 100644
--- a/src/modules/sentiment_analysis_utils.py
+++ b/src/modules/sentiment_analysis_utils.py
@@ -1,5 +1,9 @@
-from modules.model_sentiment_analysis import ModelBuilder, ModelTrainer, OptunaOptimizer
-from modules.utils import ModelPaths, OptunaPaths
+from src.modules.model_sentiment_analysis import (
+    ModelBuilder,
+    ModelTrainer,
+    OptunaOptimizer,
+)
+from src.modules.utils import ModelPaths, OptunaPaths
 import os
 import tensorflow as tf
 import logging
diff --git a/src/scripts/README.md b/src/scripts/README.md
index cb76a50..68c8b23 100644
--- a/src/scripts/README.md
+++ b/src/scripts/README.md
@@ -43,4 +43,4 @@ This directory contains scripts for managing datasets, preprocessing, and traini
   Run the script to process the dataset:
   ```bash
   python loading_kaggle_dataset_script.py
-  ```
\ No newline at end of file
+  ```
diff --git a/src/scripts/loading_kaggle_dataset_utils.py b/src/scripts/loading_kaggle_dataset_utils.py
index 9dad589..9bce184 100644
--- a/src/scripts/loading_kaggle_dataset_utils.py
+++ b/src/scripts/loading_kaggle_dataset_utils.py
@@ -2,7 +2,7 @@
 import kaggle
 import kagglehub
 from kagglehub import KaggleDatasetAdapter
-from modules.mem_reduction import MemoryReducer
+from src.modules.mem_reduction import MemoryReducer
 import pandas as pd
 from pydantic import BaseModel, Field, validator
 
diff --git a/src/sentiment_analysis.py b/src/sentiment_analysis.py
index 16695de..386f74e 100644
--- a/src/sentiment_analysis.py
+++ b/src/sentiment_analysis.py
@@ -1,9 +1,9 @@
 from dotenv import load_dotenv
-from modules.load_data import DataLoader
+from src.modules.load_data import DataLoader
 
-from modules.text_vectorizer_sentiment_analysis import TextVectorizer
-from modules.utils import DatasetPaths, OptunaPaths, TextVectorizerConfig
-from modules.sentiment_analysis_utils import (
+from src.modules.text_vectorizer_sentiment_analysis import TextVectorizer
+from src.modules.utils import DatasetPaths, OptunaPaths, TextVectorizerConfig
+from src.modules.sentiment_analysis_utils import (
     train_or_load_model,
     create_or_load_inference_model,
     perform_hyperparameter_optimization,
diff --git a/src/sentiment_analysis_bert_other.py b/src/sentiment_analysis_bert_other.py
index bb7ab95..c854e25 100644
--- a/src/sentiment_analysis_bert_other.py
+++ b/src/sentiment_analysis_bert_other.py
@@ -1,5 +1,5 @@
-from modules.load_data import DataLoader
-from modules.model_bert_other import SentimentModelBert
+from src.modules.load_data import DataLoader
+from src.modules.model_bert_other import SentimentModelBert
 
 
 def main():
diff --git a/src/translation_french_english.py b/src/translation_french_english.py
index 441c967..327deab 100644
--- a/src/translation_french_english.py
+++ b/src/translation_french_english.py
@@ -1,12 +1,12 @@
 import logging
-from modules.data_processor import DatasetProcessor, TextPreprocessor
-from modules.transformer_components import (
+from src.modules.data_processor import DatasetProcessor, TextPreprocessor
+from src.modules.transformer_components import (
     evaluate_bleu,
     PositionalEmbedding,
     TransformerEncoder,
     TransformerDecoder,
 )
-from modules.utils import ModelPaths
+from src.modules.utils import ModelPaths
 import os
 import numpy as np
 
@@ -140,28 +140,46 @@ def translation_test(
     input_sentence: str = "Hello",
 ) -> str:
     """
-    Test the Transformer model by translating an input sentence.
+    Test the English-to-French Transformer model by translating an English sentence to French.
+
+    This function performs autoregressive decoding to generate French translations from English input.
+    It uses the preprocessor's source vectorization (English) for encoding input and target
+    vectorization (French) for decoding output tokens.
 
     Args:
-        transformer (tf.keras.Model): The trained Transformer model.
-        preprocessor (TextPreprocessor): Preprocessor object for tokenization and vectorization.
-        input_sentence (str): The input sentence to translate.
+        transformer (tf.keras.Model): The trained English-to-French Transformer model.
+        preprocessor (TextPreprocessor): Preprocessor with source=English and target=French
+            vectorization layers for tokenization.
+        input_sentence (str): The English sentence to translate to French.
 
     Returns:
-        str: The translated sentence.
+        str: The translated French sentence without start/end tokens.
+
+    Example:
+        >>> result = translation_test(model, preprocessor, "Hello, how are you?")
+        >>> print(result)  # Expected: "Bonjour, comment allez-vous ?"
     """
-    en_vocab = preprocessor.target_vectorization.get_vocabulary()
-    en_index_lookup = dict(zip(range(len(en_vocab)), en_vocab))
+    # Get French vocabulary (target language) for decoding
+    fr_vocab = preprocessor.target_vectorization.get_vocabulary()
+    fr_index_lookup = dict(zip(range(len(fr_vocab)), fr_vocab))
+
+    # Debug: print vocabulary info
+    logging.info(f"French vocabulary size: {len(fr_vocab)}")
+    logging.info(f"First 10 French tokens: {fr_vocab[:10]}")
 
     tokenized_input_sentence = preprocessor.source_vectorization([input_sentence])
+    logging.info(f"Tokenized input: {tokenized_input_sentence}")
+
     decoded_sentence = "[start]"
     for i in range(20):
         tokenized_target_sentence = preprocessor.target_vectorization(
             [decoded_sentence]
         )[:, :-1]
         predictions = transformer([tokenized_input_sentence, tokenized_target_sentence])
+
         sampled_token_index = np.argmax(predictions[0, i, :])
-        sampled_token = en_index_lookup[sampled_token_index]
+        sampled_token = fr_index_lookup[sampled_token_index]
+
         decoded_sentence += " " + sampled_token
         if sampled_token == "[end]":
             break
diff --git a/tests/test_data_processor.py b/tests/test_data_processor.py
index 39f4a12..ee2b83c 100644
--- a/tests/test_data_processor.py
+++ b/tests/test_data_processor.py
@@ -1,8 +1,8 @@
 import pytest
 import polars as pl
 import tensorflow as tf
-from typing import Dict, Any
-from modules.data_processor import DatasetProcessor, TextPreprocessor
+from typing import Dict
+from src.modules.data_processor import DatasetProcessor, TextPreprocessor
 
 
 @pytest.fixture
diff --git a/tests/test_model.py b/tests/test_model.py
index 73895a5..0826ce8 100644
--- a/tests/test_model.py
+++ b/tests/test_model.py
@@ -1,6 +1,10 @@
 import json
-from modules.model_sentiment_analysis import ModelTrainer, OptunaOptimizer, ModelBuilder
-from modules.utils import ModelPaths, OptunaPaths
+from src.modules.model_sentiment_analysis import (
+    ModelTrainer,
+    OptunaOptimizer,
+    ModelBuilder,
+)
+from src.modules.utils import ModelPaths, OptunaPaths
 
 
 def test_model_trainer_initialization():
diff --git a/tests/test_transformer_model.py b/tests/test_transformer_model.py
index 9ccb5e2..0eb62db 100644
--- a/tests/test_transformer_model.py
+++ b/tests/test_transformer_model.py
@@ -2,20 +2,20 @@
 import tensorflow as tf
 import pandas as pd
 from typing import Tuple
-from modules.data_processor import TextPreprocessor
-from modules.transformer_components import (
+from src.modules.data_processor import TextPreprocessor
+from src.modules.transformer_components import (
     PositionalEmbedding,
     TransformerEncoder,
     TransformerDecoder,
     evaluate_bleu,
 )
-from translation_french_english import transformer_model
+from src.translation_french_english import transformer_model
 
 
 @pytest.fixture
-def setup_data() -> (
-    Tuple[TextPreprocessor, tf.data.Dataset, tf.data.Dataset, tf.data.Dataset]
-):
+def setup_data() -> Tuple[
+    TextPreprocessor, tf.data.Dataset, tf.data.Dataset, tf.data.Dataset
+]:
     """
     Fixture to set up a mocked dataset and preprocessor for testing.
 
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..3dd6e94
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,2190 @@
+version = 1
+revision = 2
+requires-python = "==3.11.*"
+
+[[package]]
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+]
+
+[[package]]
+name = "alembic"
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+]
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+    { name = "mypy-extensions" },
+    { name = "packaging" },
+    { name = "pathspec" },
+    { name = "platformdirs" },
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