Merge pull request #169 from hand-e-fr/dev

[MERGE] rc2

CONTRIBUTING.md

@@ -54,7 +54,7 @@ If you wish to make changes to the code, please follow these steps:
 
 2. **Clone Your Fork**: Clone your fork locally using the following command:
     ```sh
-    git clone https://github.com/your-username/OpenHosta-dev.git
+    git clone https://github.com/hand-e-fr/OpenHosta.git
     ```
 
 3. **Create a Branch**: Create a new branch for your feature or bug fix:

README.md

@@ -1,5 +1,5 @@
 # OpenHosta 
-v2.1.0rc-1 - Opensource Project
+v2.1.0rc2 - Opensource Project
 
 **- The future of development is human -**
 
@@ -31,7 +31,7 @@ pip install OpenHosta
 or
 
 ```sh
-git clone git@github.com:hand-e-fr/OpenHosta.git
+git clone https://github.com/hand-e-fr/OpenHosta.git
 ```
 
 **See the full installation guide [here](docs/installation.md)**

RELEASE_NOTE.md

@@ -1,4 +1,2 @@
-## **OpenHosta v2.0.2 - 20/11/24**
+## **OpenHosta v2.1.0rc2 - 29/11/24**
 
-- **Fixes**:
-  - Adding the compatibility for python 3.8, 3.9 and 3.13.

docs/doc.md

@@ -1,7 +1,7 @@
 # Documentation
 ___
 
-Documentation for version: **2.0.2**
+Documentation for version: **2.1.0rc2**
 
 Welcome to **OpenHosta** documentation :). Here you'll find all the **explanations** you need to understand the library, as well as **usage examples** and advanced **configuration** methods for the most complex tasks. You'll also find explanations of the source code for those interested in **contributing** to this project. Check the [Google Colab](https://colab.research.google.com/drive/1XKrPrhLlYJD-ULTA8WHzIMqTXkb3iIpb?usp=sharing) **test files** to help you take your first steps in discovering OpenHosta.
 
@@ -371,9 +371,7 @@ The `predict` function can be used in function or class method by simply returns
 
 - **Linear Regression**: For prediction tasks by simply returns an `int`or a `float` :
   ```python
-  from Openhosta import predict, config
-
-  config.set_default_apiKey("put-your-api-key-here")
+  from OpenHosta import predict, config
 
   def example_linear_regression(years : int, profession : str) -> float:
       """
@@ -386,9 +384,7 @@ The `predict` function can be used in function or class method by simply returns
 - **Classification**: For classifying multiple values among predefined categories in a `Literal` from the typing module :
   ```python
   from typing import Literal
-  from Openhosta import predict, config
-
-  config.set_default_apiKey("put-your-api-key-here")
+  from OpenHosta import predict, config
 
   output = Literal["Good", "Bad"]
 
@@ -425,7 +421,7 @@ The `predict` function supports the following parameters:
 The `PredictConfig` class provides advanced options for configuring the creation and management of *predict* models. Here’s a detailed breakdown:
 
 ```python
-from Openhosta import PredictConfig
+from OpenHosta import PredictConfig
 
 model_config = PredictConfig(
     name="model_test",
@@ -462,7 +458,7 @@ model_config = PredictConfig(
 - `max_tokens` (`int`): Limits the number of words a `str` input can contain, as the model adapts neuron sizes accordingly. Default: `1`.
   - **Warning**: Current model architectures do not perform well with natural language processing tasks. For such cases, use the *emulate* feature instead. NLP architecture support is coming soon.
 - `dataset_path` (`str`): Provides a custom dataset path. Default: `None`, 
-  - **Warning**: Only `csv` and `jsonl` files are supported for now. For `csv`, please set the prediction columns to `_outputs`. and for `jsonl` please set the last element
+  - **Warning**: Only `csv` and `jsonl` files are supported for now. Please set the prediction columns to `outputs`.
 - `generated_data` (`int`): Specifies the target number of data points for LLM generation (approximate). Default: `100`.
 
 ---
@@ -478,12 +474,12 @@ config_predict = PredictConfig(
     name="test_openhosta",
     complexity=5,
     growth_rate=1.5,
-    layers_coefficien=100,
+    coef_layers=100,
+    normalize=False,
     epochs=45,
     batch_size=64,
     max_tokens=1,
-    dataset_path="./dataset.csv",
-    normalize=False
+    dataset_path="./path_to_your_dataset.csv"
 )
 
 # Using the predict function with the configuration

docs/installation.md

@@ -29,7 +29,7 @@ All this will be detailed in this document.
   1. Clone the Git repository:
 
   ```sh
-  git clone git@github.com:hand-e-fr/OpenHosta.git
+  git clone https://github.com/hand-e-fr/OpenHosta.git
   ```
 
   1. Navigate to the directory:

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "OpenHosta"
-version = "2.0.2"
+version = "2.1.0rc2"
 description = "A lightweight library integrating LLM natively into Python"
 keywords = ["AI", "GPT", "Natural language", "Autommatic", "Easy"]
 authors = [
@@ -48,7 +48,8 @@ dependencies = [
 [project.optional-dependencies]
 all = [
     "pydantic>=2.9.2",
-    "torch>=2.5.1"
+    "torch>=2.5.1",
+    "numpy>=2.1.3"
 ]
 pydantic = [
     "pydantic>=2.8.2"

src/OpenHosta/OpenHosta.py

@@ -1,19 +1,24 @@
 from __future__ import annotations
 
-from .exec.ask import ask
+from .core import config
+from .core.config import Model, DefaultManager
+
+from .utils.meta_prompt import print_last_prompt
+from .utils.import_handler import is_predict
 from .utils.meta_prompt import EMULATE_PROMPT
+
+from .exec.ask import ask
 from .exec.thinkof import thinkof
 from .exec.thought import thought
 from .exec.example import example
 from .exec.emulate import emulate
-from .exec.generate_data import generate_data
-from .exec.predict.dataset.dataset import HostaDataset, SourceType
-from .core import config
-from .core.config import Model, DefaultManager
-from .utils.meta_prompt import print_last_prompt
 
-from .exec.predict.predict import predict
-from .exec.predict.predict_config import PredictConfig
+if is_predict:
+    from .exec.generate_data import generate_data
+    from .exec.predict.dataset.dataset import HostaDataset, SourceType
+    from .exec.predict.predict import predict
+    from .exec.predict.predict_config import PredictConfig
+
 
 import os
 
@@ -27,13 +32,8 @@
     "emulate",
     "thought",
     "example",
-    "predict",
-    "PredictConfig",
     "thinkof",
     "ask",
     "EMULATE_PROMPT",
     "print_last_prompt",
-    "generate_data",
-    "HostaDataset",
-    "SourceType"
 )

src/OpenHosta/__init__.py

@@ -1,3 +1,3 @@
 from .OpenHosta import *
 
-__version__ = "2.0.2"
+__version__ = "2.1.0rc2"

src/OpenHosta/utils/import_handler.py

@@ -2,7 +2,7 @@
 
 all = (
     "is_pydantic"
-    "is_torch"
+    "is_predict"
 )
 
 is_pydantic = False
@@ -11,3 +11,11 @@
     is_pydantic = True
 except ImportError:
     is_pydantic = False
+
+is_predict = False
+try:
+    import torch
+    import numpy
+    is_predict = True
+except ImportError:
+    is_predict = False