Add files via upload

README.md

@@ -1,173 +1,173 @@
-# Baker
-
-*Bot-Maker* Baker! Is a framework to create chatbots with Python in the easiest and simplest route, train your chatbot by texting or adding data in XML, JSON or YAML files. 
-
-# Installation
-
-You can install Baker with pip
-
-```bash
-pip install baker-python
-```
-
-# Usage
-
-## Initial Tasks
-
-Using Baker is very easy, all you have to do is to create a YAML, JSON or XML file first. However, files should have been defined in a specific format:
-
-**For XML files**
-
-```xml
-<responses>
-  <Hello>
-    <response>Hello!</response>
-    <response>Hi there!</response>
-  </Hello>
-</responses>
-```
-
-The `Hello` tag is defining that if the user will write `Hello` to the chatbot the chatbot will return one of the responses in the `response` tag.
-
-**For JSON files**
-
-```json
-{
-    "Hello": [
-        "Hi",
-        "Heyy",
-        "Hello"
-    ]
-
-}
-```
-
-Same goes with JSON files. Even if the response is only one, it must be in a list []. Here, if user inputs `Hello` then the response must be random in the list. 
-
-**For YAML files**
-
-```yaml
-Hello:
-- Hello!
-- Hi there!
-How are you:
-- I am fine
-- I am doing good, thanks for asking
-```
-
-Same process is with the YAML files with a bit different syntax and nothing else.
-
-The files can also be empty for example a JSON file can be like this:
-
-```json
-{
-
-}
-```
-
-## Training
-
-To train the chatbot, use the `Trainer` class. Here is an example of basic training:
-
-```py
-from baker import trainer
-
-bot = trainer.Trainer('database.yaml')
-
-user_input = input("You: ")
-response = bot.get_response(user_input)
-print("Bot:", response)
-
-# Train the bot with a new response
-new_response = input("New response: ")
-bot.train_response(user_input, new_response)
-print("Bot has been trained with the new response!")
-```
-
-from this route the keyword (user's question) must be already created in the file or else the trainer will not be able to train because the trainer will not find the keyword in the file. For example if you want to train the chatbot for responses of `Hello` then `Hello` should be created in the data file.
-
-But with this way to train you can train the chatbot as long you want to with custom keywords (no need to define them in the data file) and their infinite responses:
-
-```py
-trainer = Trainer("database.json")
-trainer.loop_training()'''
-```
-
-The data file can either be empty or it can have keywords, pre-defined keyowrds can be trained too.
-
-# Parsing
-
-To parse the chatbot to run and test it use the `Parser` class:
-
-```py
-from baker import parser
-
-def test_chatbot(bot):
-    while True:
-        user_input = input("You: ")
-        if user_input.lower() == "exit":
-            print("Testing session ended.")
-            break
-        response = bot.get_response(user_input)
-        print("Bot:", response)
-
-bot = parser.Parser('database.json')
-
-test_chatbot(bot)
-```
-
-The above code will run the chatbot, but there is anther simpler way to run the chatbot with it's specified name which is to use the `Chatbot` class:
-
-```py
-from baker import trainer
-from baker import parser
-from baker import chatbot
-
-trainer = trainer.Trainer('database.json')
-parser = parser.Parser('database.json')
-my_chatbot = chatbot.Chatbot("MyChatbot")
-my_chatbot.interactive_session(trainer, parser)
-```
-
-`Parser` class has more functions regarding the data file:
-
-- Exporting responses :
-
-```py
-response_file_name = "responses.json"  
-Parser = Parser(response_file_name)
-parser.export_responses("exported_responses.xml")
-```
-
-- Reset resposes
-
-```py
-parser.reset_responses("A_User_Question")
-```
-
-- Removing responses:
-
-```py
-user_input = "What is the weather like?"
-response_to_remove = "I'm not sure."
-parser.remove_response(user_input, response_to_remove)
-```
-
-- List questions:
-
-```py
-key_questions = parser.list_questions()
-print("List of Key Questions:")
-for question in key_questions:
-    print(question)
-```
-
-- Count responses:
-
-```py
-user_input = "Tell me a joke"
-response_count = parser.count_responses(user_input)
-print(f"Number of Responses for '{user_input}': {response_count}")
-```
-
-Keep training your chatbot by texting or adding words in the database and then run it!
+# Baker
+
+*Bot-Maker* Baker! Is a framework to create chatbots with Python in the easiest and simplest route, train your chatbot by texting or adding data in XML, JSON or YAML files. 
+
+# Installation
+
+You can install Baker with pip
+
+```bash
+pip install baker-python
+```
+
+# Usage
+
+## Initial Tasks
+
+Using Baker is very easy, all you have to do is to create a YAML, JSON or XML file first. However, files should have been defined in a specific format:
+
+**For XML files**
+
+```xml
+<responses>
+  <Hello>
+    <response>Hello!</response>
+    <response>Hi there!</response>
+  </Hello>
+</responses>
+```
+
+The `Hello` tag is defining that if the user will write `Hello` to the chatbot the chatbot will return one of the responses in the `response` tag.
+
+**For JSON files**
+
+```json
+{
+    "Hello": [
+        "Hi",
+        "Heyy",
+        "Hello"
+    ]
+
+}
+```
+
+Same goes with JSON files. Even if the response is only one, it must be in a list []. Here, if user inputs `Hello` then the response must be random in the list. 
+
+**For YAML files**
+
+```yaml
+Hello:
+- Hello!
+- Hi there!
+How are you:
+- I am fine
+- I am doing good, thanks for asking
+```
+
+Same process is with the YAML files with a bit different syntax and nothing else.
+
+The files can also be empty for example a JSON file can be like this:
+
+```json
+{
+
+}
+```
+
+## Training
+
+To train the chatbot, use the `Trainer` class. Here is an example of basic training:
+
+```py
+from baker import trainer
+
+bot = trainer.Trainer('database.yaml')
+
+user_input = input("You: ")
+response = bot.get_response(user_input)
+print("Bot:", response)
+
+# Train the bot with a new response
+new_response = input("New response: ")
+bot.train_response(user_input, new_response)
+print("Bot has been trained with the new response!")
+```
+
+from this route the keyword (user's question) must be already created in the file or else the trainer will not be able to train because the trainer will not find the keyword in the file. For example if you want to train the chatbot for responses of `Hello` then `Hello` should be created in the data file.
+
+But with this way to train you can train the chatbot as long you want to with custom keywords (no need to define them in the data file) and their infinite responses:
+
+```py
+trainer = Trainer("database.json")
+trainer.loop_training()'''
+```
+
+The data file can either be empty or it can have keywords, pre-defined keyowrds can be trained too.
+
+# Parsing
+
+To parse the chatbot to run and test it use the `Parser` class:
+
+```py
+from baker import parser
+
+def test_chatbot(bot):
+    while True:
+        user_input = input("You: ")
+        if user_input.lower() == "exit":
+            print("Testing session ended.")
+            break
+        response = bot.get_response(user_input)
+        print("Bot:", response)
+
+bot = parser.Parser('database.json')
+
+test_chatbot(bot)
+```
+
+The above code will run the chatbot, but there is anther simpler way to run the chatbot with it's specified name which is to use the `Chatbot` class:
+
+```py
+from baker import trainer
+from baker import parser
+from baker import chatbot
+
+trainer = trainer.Trainer('database.json')
+parser = parser.Parser('database.json')
+my_chatbot = chatbot.Chatbot("MyChatbot")
+my_chatbot.interactive_session(trainer, parser)
+```
+
+`Parser` class has more functions regarding the data file:
+
+- Exporting responses :
+
+```py
+response_file_name = "responses.json"  
+Parser = Parser(response_file_name)
+parser.export_responses("exported_responses.xml")
+```
+
+- Reset resposes
+
+```py
+parser.reset_responses("A_User_Question")
+```
+
+- Removing responses:
+
+```py
+user_input = "What is the weather like?"
+response_to_remove = "I'm not sure."
+parser.remove_response(user_input, response_to_remove)
+```
+
+- List questions:
+
+```py
+key_questions = parser.list_questions()
+print("List of Key Questions:")
+for question in key_questions:
+    print(question)
+```
+
+- Count responses:
+
+```py
+user_input = "Tell me a joke"
+response_count = parser.count_responses(user_input)
+print(f"Number of Responses for '{user_input}': {response_count}")
+```
+
+Keep training your chatbot by texting or adding words in the database and then run it!

__init__.py

@@ -1,3 +1,3 @@
 from baker import parser
 from baker import chatbot
-from baker import trainer
+from baker import trainer

baker/chatbot.py

@@ -1,10 +1,12 @@
 import re
+from parser import Parser
+from trainer import Trainer
 
 class Chatbot:
     def __init__(self, name):
         self.name = name
 
-    def interactive_session(self, trainer, parser):
+    def session(self, trainer, parser):
         print(f"Welcome to {self.name} Chatbot! Type 'exit' to end the session.")
         while True:
             user_input = input("You: ")