Adding to hugging face

.gitattributes

@@ -1,35 +1,6 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
+models/checkpoint-760/training_args.bin filter=lfs diff=lfs merge=lfs -text
+models filter=lfs diff=lfs merge=lfs -text
 *.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
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-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
 *.pt filter=lfs diff=lfs merge=lfs -text
 *.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
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-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+*.json filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+api_keys.py

Streamlit/.streamlit/config.toml

@@ -0,0 +1,5 @@
+[theme]
+primaryColor="#1ea86f"
+backgroundColor="#61eab0"
+secondaryBackgroundColor="#ffffff"
+textColor="#000000"

Streamlit/.streamlit/secrets.toml

@@ -0,0 +1 @@
+OPENAI_API_KEY = "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"

Streamlit/Home.py

@@ -0,0 +1,53 @@
+import streamlit as st
+
+st.set_page_config(
+    page_title="OpenEyes",
+    page_icon=":eyes:",
+)
+
+st.title("👀 OpenEyes")
+
+# Welcome message
+st.write("Welcome to the 👀 OpenEyes Homepage!")
+
+# goto the chat section to talk to the bot
+# st.write("Go to the chat section to talk to the bot!")
+st.info(
+    """👈 Go to the chat section to talk to the bot!
+"""
+)
+
+with st.expander("💡 Idea"):
+    st.markdown(
+        """
+        - The idea behind this project is to create a chatbot that can answer questions related to animals.
+        - The chatbot is trained on the [AnimalQA dataset](
+        https://www.kaggle.com/datasets/iamsouravbanerjee/animal-image-dataset-90-different-animals
+        ) from Kaggle.
+        We thought that this app will help the tourists who are visiting safari parks and zoos and want to know more about the animals they see.
+        They can scan the animals from their phones and our Object Detection model will detect the animal and then the chatbot will answer the questions related to the animal.
+        """
+    )
+
+with st.expander("🐍 Python Libraries Used"):
+    st.markdown(
+        """
+        - `Streamlit` - For the frontend
+        - `OpenAI` - For the chatbot
+        - `Requests` - For making HTTP requests
+        - `Time` - For adding delays
+        - `Base64` - For encoding and decoding
+        - `JSON` - For parsing JSON
+        - `Pillow` - For image processing
+        - `Numpy` - For numerical processing
+        - `Pandas` - For data processing
+        - `Matplotlib` - For data visualization
+        - `YOLOv8` - For object detection
+        - `PyTorch` - For deep learning
+        - `Transformers` - For NLP
+        - `HuggingFace` - For NLP
+        - `Whisper` - For speech recognition
+        - `PyAudio` - For audio processing
+        
+        """
+    )

Streamlit/pages/.cph/.yolo.py_ab91d06c1049f91607ef5865ba1b5ac0.prob

@@ -0,0 +1 @@
+{"name":"Local: yolo","url":"c:\\Users\\hp\\Documents\\GitHub\\OpenEyes\\Streamlit\\pages\\yolo.py","tests":[{"id":1688839560533,"input":"","output":""}],"interactive":false,"memoryLimit":1024,"timeLimit":3000,"srcPath":"c:\\Users\\hp\\Documents\\GitHub\\OpenEyes\\Streamlit\\pages\\yolo.py","group":"local","local":true}

Streamlit/pages/1_📷_Camera.py

@@ -0,0 +1,45 @@
+import streamlit as st
+from PIL import Image
+from ultralytics import YOLO
+
+# initialize the model
+model = YOLO("yolov8n.pt")
+
+# radio button to upload a picture or take a picture from webcam
+st.sidebar.subheader("Select Input Source")
+input_type = st.sidebar.radio(" ", ("Upload an Image", "Take a Picture"))
+
+global picture
+
+if input_type == "Upload an Image":
+    picture = st.file_uploader("Select an image", type=["jpg", "jpeg", "png"])
+else:
+    # display the picture
+    picture = st.camera_input("Take a picture")
+
+
+if picture:
+    st.image(picture, caption="Your picture", use_column_width=True)
+
+    # save the picture
+    with open("image.jpg", "wb") as f:
+        f.write(picture.getvalue())  # write the picture to the disk
+
+    st.info("Select the confidence threshold for the object detection model and press Detect Objects")
+
+    # confidence slider
+    st.sidebar.subheader("Confidence Threshold")
+    confidence_threshold = st.sidebar.slider("Select a value", 0.0, 1.0, 0.5, 0.01)
+
+    source_img = Image.open("image.jpg")
+
+    if st.sidebar.button("Detect Objects"):
+        # start the detection
+        res = model.predict(source_img, conf=confidence_threshold)
+        boxes = res[0].boxes
+        res_plotted = res[0].plot()[:, :, ::-1]
+        st.image(res_plotted, caption="Detected Image", use_column_width=True)
+
+        st.balloons()
+
+        st.success("Head over to the chat page to ask questions and link to the page")

Streamlit/pages/✉_Chat.py

@@ -0,0 +1,98 @@
+# import openai
+import streamlit as st
+import requests
+import time
+import base64
+import json
+
+st.set_page_config(
+    page_title="OpenEyes",
+    page_icon="👀",
+)
+
+st.title("OpenEyes")
+
+# API_KEY = st.secrets["OPENAI_API_KEY"]
+
+
+def makeRequest(prompt):
+    url = "http://3.88.181.187:8080/v1/"
+    headers = {"Content-Type": "application/json"}
+    data = {
+        "model": "gpt-4",
+        "messages": [{"role": "user", "content": prompt}],
+    }
+    response = requests.post(url, headers=headers, json=data)
+    return response.json()
+
+
+if "openai_model" not in st.session_state:
+    st.session_state["openai_model"] = "gpt-4"  # setting up a session state model
+
+if "messages" not in st.session_state:
+    # st.session_state.messages = [] # setting up a session state messages to store the messages
+    # set a default message hi to the bot before the user types anything
+    st.session_state.messages = [
+        {
+            "role": "assistant",
+            "content": "Hi, I'm OpenEyes. I'm here to help you with your queries related to Animals. What do you want to know?",
+        }
+    ]
+    
+
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):  # creating a chat message with the role
+        st.markdown(message["content"])  # adding the content to the chat message
+
+# Accept user input
+if prompt := st.chat_input("What is up?"):
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        response = makeRequest(prompt)
+        for chunk in response["choices"][0]["message"]["content"].split():
+            full_response += chunk + " "
+            time.sleep(0.05)
+            # Add a blinking cursor to simulate typing
+            message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
+        st.session_state.messages.append(
+            {"role": "assistant", "content": full_response}
+        )
+
+
+# 3 cols
+col1, col2, col3 = st.columns([1, 1, 1])
+
+with col1:
+    if st.button("Export Chat History"):
+        # Download the chat history as a json file
+        # Convert JSON data to a string and encode as UTF-8
+        json_data = json.dumps(st.session_state.messages).encode("utf-8")
+
+        b64 = base64.b64encode(json_data).decode()
+        href = f'<a href="data:application/json;base64,{b64}" download="example.json">Download JSON</a>'
+        st.markdown(href, unsafe_allow_html=True)
+
+with col3:
+    # Clear chat button
+    if st.button("Clear Chat"):
+        # remove all the messages from the session state
+        st.session_state.messages = []
+        # add a default message to the session state
+        st.session_state.messages.append(
+            {
+                "role": "assistant",
+                "content": "Hi, I'm OpenEyes. I'm here to help you with your queries related to Animals. What do you want to know?",
+            }
+        )
+        # rerun the app
+        st.experimental_rerun()
+
+print(st.session_state.messages)

Streamlit/pages/🧑_About.py

@@ -0,0 +1,52 @@
+import streamlit as st
+
+
+st.set_page_config(
+    page_title="About OpenEyes Devs",
+    page_icon="👀",
+)
+
+TeamMember1 = {
+    "Name": "Adarsh Anand",
+    "image": "https://avatars.githubusercontent.com/u/73928744?v=4",
+    "Role": "Intern @Intel | ICPC'22 Regionalist | Specialist @CodeForces | Ex-Graphy | Knight @LeetCode | Google DSC Lead '22 | IIT Goa CSE '24",
+    "LinkedIn": "https://www.linkedin.com/in/adarsh-anand-iitgoa/",
+    "GitHub": "https://github.com/adarshanand67",
+    "description": "I am a Full-stack developer with a passion for problem-solving. I love working on backend and frontend projects, but my true love is React.js. I enjoy working on projects that are challenging and have the potential to make a positive impact on people's lives.",
+}
+
+TeamMember2 = {
+    "Name": "Aniket Akshay Chaudhri",
+    "image": "https://avatars.githubusercontent.com/u/79798301?v=4",
+    "Role": "Head @ Coding Club IIT Goa | Competitive Programmer | Web Developer | Android Developer | CSE @ IIT Goa",
+    "LinkedIn": "https://www.linkedin.com/in/aniketchaudhri/",
+    "GitHub": "https://github.com/AniketChaudhri/",
+    "description": "I am a CSE pre-final year Undergrad at IIT Goa. I have experience in various Tech Domains such as Web Development, App Development, Deep Learning.",
+}
+
+# adarsh = Image.open("/Streamlit/adarsh.jpg")
+# aniket = Image.open("/Streamlit/aniket.jpg")
+
+# layout 2 cols
+st.title("About OpenEyes")
+col1, col2, col3 = st.columns([3,1,3])
+
+# center text
+# st.markdown("<h1 style='text-align: center; color: black;'>Meet the Team</h1>", unsafe_allow_html=True)
+
+# create 2 cards showing the details
+
+def show_details(TeamMember):
+    st.image(TeamMember["image"], width=200)
+    st.header(TeamMember["Name"])
+    st.markdown(TeamMember["Role"])
+    st.subheader(f"[LinkedIn]({TeamMember['LinkedIn']})")
+    st.subheader(f"[GitHub]({TeamMember['GitHub']})")
+    st.write(TeamMember["description"])
+
+# add border
+with col1:
+    show_details(TeamMember2)
+
+with col3:
+    show_details(TeamMember1)

Streamlit/yolov8n.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31e20dde3def09e2cf938c7be6fe23d9150bbbe503982af13345706515f2ef95
+size 6534387

assistant/assistant.py

@@ -0,0 +1,236 @@
+from yaspin import yaspin
+from termcolor import colored
+from keys import OPENAI_API_KEY
+
+
+with yaspin(text="Waking agent...") as spinner:
+    import os
+    import time
+    import requests
+    import base64
+    import threading
+    import scipy.io.wavfile as wav
+    from queue import Queue
+    os.environ['PYGAME_HIDE_SUPPORT_PROMPT'] = "hide"
+    os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
+    from pygame import mixer
+
+    from modules.Whisper import transcribe
+    from modules.VoiceActivityDetection import VADDetector
+    import openai
+    from gtts import gTTS
+    from modules.command import CommandDetector
+
+    from modules.Yolo import Eyes
+    # from modules.google import GoogleManager
+    # from modules.github import create_repository
+
+    openai.api_key = OPENAI_API_KEY
+    mixer.init()
+
+
+class GPTAssistant():
+
+    def __init__(self, startListening=False, startTexting=False, voice=False, local=False):
+
+        self.voice = voice
+        self.listening = startListening
+        self.texting = startTexting
+        self.vad = VADDetector(self.onSpeechStart, self.onSpeechEnd)
+        self.vad_data = Queue()
+        self.context = [
+            {"role": "system", "content": self.read_system_context("jvp.txt")}]
+
+        self.cdet = CommandDetector(model_path="./models/checkpoint-760")
+        # self.google = GoogleManager()
+        self.eyes = Eyes()
+
+        if startListening and not startTexting:
+            self.startListening()
+
+            t = threading.Thread(target=self.transcription_loop)
+            t.start()
+
+        else:
+            self.writingMessage()
+
+    def writingMessage(self):
+
+        text = ''
+
+        while True:
+
+            text = input(colored("[👨]: ", "magenta"))
+
+            self.build_context(role='user', content=text)
+
+            command = self.cdet.command_filter(text)
+
+            if (command != 'goodbye'):
+
+                if command == "vision":
+
+                    vision = self.eyes.see()
+
+                    self.build_context(
+                        role='system', content=f'The vision module detected {vision}. Respond to the last user promt using this information.')
+
+                if command == "google":
+
+                    self.google.get_query(text)
+
+                    if (self.voice):
+                        self.play_audio(response=self.google.notification,
+                                        exit=exit, response_name="google_notification.mp3")
+
+                    search = self.google.search()
+
+                    self.build_context(
+                        role='system', content=f'The google module found {search}. Respond to the last user promt using this information.')
+
+                if command == "github":
+
+                    repo = create_repository()
+
+                    self.build_context(
+                        role='system', content=f'The github module tried to create a repository and exited:\n {repo}. Tell the user what happened.')
+
+                self.send_to_GPT(messages=self.context)
+
+            else:
+
+                self.send_to_GPT(messages=self.context)
+
+                break
+
+    def startListening(self):
+        print(colored("Listening 👂", 'green'))
+        t = threading.Thread(target=self.vad.startListening)
+        t.start()
+
+    def toggleListening(self):
+        if not self.listening:
+            print()
+            print(colored("Listening 👂", 'green'))
+
+        while not self.vad_data.empty():
+            self.vad_data.get()
+        self.listening = not self.listening
+
+    def onSpeechStart(self):
+        pass
+
+    def onSpeechEnd(self, data):
+        if data.any():
+            self.vad_data.put(data)
+
+    def transcription_loop(self):
+        while True:
+            if not self.vad_data.empty():
+                data = self.vad_data.get()
+
+                if self.listening:
+                    self.toggleListening()
+
+                text = transcribe(data)
+
+                if len(text) > 4 and text != "Thank you.":
+
+                    print(colored(f'[👨]:{text}', 'magenta'))
+
+                    self.build_context(role='user', content=text)
+
+                    command = self.cdet.command_filter(text)
+
+                    if (command != 'goodbye'):
+
+                        if command == "vision":
+
+                            vision = self.eyes.see()
+
+                            self.build_context(
+                                role='system', content=f'The vision module detected {vision}. Respond to the last user promt using this information.')
+
+                        if command == "google":
+
+                            self.google.get_query(text)
+
+                            if (self.voice):
+                                self.play_audio(
+                                    response=self.google.notification, exit=exit, response_name="google_notification.mp3")
+
+                            search = self.google.search()
+
+                            self.build_context(
+                                role='system', content=f'The google module found {search}. Respond to the last user promt using this information.')
+
+                        self.send_to_GPT(messages=self.context)
+
+                    else:
+
+                        self.send_to_GPT(messages=self.context, exit=True)
+
+                        break
+
+    def read_system_context(self, file):
+
+        context = ''
+
+        with open(file) as f:
+
+            lines = f.readlines()
+
+            for line in lines:
+
+                context += line
+
+        return context
+
+    def build_context(self, role, content):
+
+        self.context.append({"role": role, "content": content})
+
+    def send_to_GPT(self, messages, exit=False):
+
+        completion = openai.ChatCompletion.create(
+            model='gpt-3.5-turbo',
+            messages=messages)
+
+        response = completion['choices'][0]['message']['content']
+
+        print(colored(f'[🤖]:{response}', 'green'))
+
+        self.build_context(role='assistant', content=response)
+        if (self.voice):
+            self.play_audio(response=response, exit=exit)
+
+    def play_audio(self, response, language="en", exit=False, response_name="GPT_response.mp3"):
+
+        speech = gTTS(text=response, lang=language, slow=False)
+
+        speech.save(response_name)
+
+        # play audio
+        mixer.music.load(response_name)
+        mixer.music.play()
+
+        # wait for audio to finish
+        duration = mixer.Sound(response_name).get_length()
+        time.sleep(duration + 1)
+
+        # unload and delete audio
+        mixer.music.unload()
+        os.remove(response_name)
+
+        # re-activate microphone
+        if (self.listening and not exit):
+            self.toggleListening()
+
+
+if __name__ == '__main__':
+
+    assistant = GPTAssistant(
+        startListening=True, startTexting=True, voice=False, local=False)
+
+    context = [{"role": "user", "content": "Testing GPT"}]
+    assistant.send_to_GPT(messages=context)

assistant/keys.py

@@ -0,0 +1,4 @@
+OPENAI_API_KEY='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'
+SERP_API_KEY='9023d4dbcce2c3e065d7983a642218de01ad8c1cc6a9f556d6dd6bd7351943af'
+GIT_TOKEN='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'
+GIT_USER_NAME='AniketChaudhri'

chat.py

@@ -0,0 +1,13 @@
+from assistant.assistant import GPTAssistant
+import argparse
+parser = argparse.ArgumentParser()
+
+parser.add_argument("-v", "--voice", action="store_true", help = "Make GPT talk")
+parser.add_argument("-l", "--listen", action="store_true", help = "Make GPT listen")
+parser.add_argument("-t", "--text", action="store_true", help = "Text to GPT")
+
+if __name__ == '__main__':
+    assistant = GPTAssistant(
+            startListening = parser.parse_args().listen,
+            startTexting =  parser.parse_args().text,
+            voice=parser.parse_args().voice)

models/checkpoint-760/config.json

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+size 998

models/checkpoint-760/optimizer.pt

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+oid sha256:f066f41f9a0fb828464e361f6a32094f62cf63d434adf360483d2dd1f8761269
+size 876000965

models/checkpoint-760/pytorch_model.bin

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models/checkpoint-760/rng_state.pth

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models/checkpoint-760/scheduler.pt

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+oid sha256:50bc2f29a3b542a88efbb7712320bd538a11446241df24172f9364097ab01269
+size 627

models/checkpoint-760/trainer_state.json

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+size 2584

models/checkpoint-760/training_args.bin

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+size 3899

models/yolov8m.pt

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+size 52117635

models/yolov8n.pt

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+oid sha256:31e20dde3def09e2cf938c7be6fe23d9150bbbe503982af13345706515f2ef95
+size 6534387

modules/VoiceActivityDetection.py

@@ -0,0 +1,91 @@
+import time
+import wave
+import pyaudio
+import webrtcvad
+import contextlib
+import collections
+import numpy as np
+import sounddevice as sd
+
+RATE = 16000
+CHUNK = 160
+CHANNELS = 1
+FORMAT = pyaudio.paInt16
+
+audio = pyaudio.PyAudio()
+ 
+class VADDetector():
+    def __init__(self, onSpeechStart, onSpeechEnd):
+        self.channels = [1]
+        self.mapping  = [c - 1 for c in self.channels]
+        self.device_info = sd.query_devices(None, 'input')
+        self.sample_rate = 16000 # int(self.device_info['default_samplerate'])
+        self.interval_size = 10 # audio interval size in ms
+        self.sensitivity = .4 #Seconds
+        self.block_size = self.sample_rate * self.interval_size / 1000
+        self.vad = webrtcvad.Vad()
+        self.vad.set_mode(3)
+        self.frameHistory = [False]
+        self.block_since_last_spoke = 0
+        self.onSpeechStart = onSpeechStart
+        self.onSpeechEnd = onSpeechEnd
+        self.voiced_frames = collections.deque(maxlen=1000)
+
+    def write_wave(self, path, audio, sample_rate):
+        with contextlib.closing(wave.open(path, 'w')) as wf:
+            wf.setnchannels(1)
+            wf.setsampwidth(2)
+            wf.setframerate(sample_rate)
+            wf.writeframesraw(audio)
+        
+    def voice_activity_detection(self, audio_data):
+        return self.vad.is_speech(audio_data, self.sample_rate)
+
+    def audio_callback(self, indata, frames, time, status): 
+        audio_data = indata
+        detection = self.voice_activity_detection(audio_data)
+
+        if(self.frameHistory[-1] == True and detection == True):
+            self.onSpeechStart()
+            self.voiced_frames.append(audio_data)
+            self.block_since_last_spoke = 0
+        else:
+            if(self.block_since_last_spoke == self.sensitivity * 10 * self.interval_size) :
+
+                if len(self.voiced_frames) > 0:
+                    samp = b''.join(self.voiced_frames)
+                    self.onSpeechEnd(np.frombuffer(samp, dtype=np.int16))
+                self.voiced_frames = []
+            else:
+                # if last block was not speech don't add
+                if len(self.voiced_frames) > 0:
+                    self.voiced_frames.append(audio_data)
+            
+            self.block_since_last_spoke += 1
+
+        self.frameHistory.append(detection)
+
+
+    def startListening(self):
+        stream = audio.open(format=FORMAT, channels=CHANNELS,
+                rate=RATE, input=True,
+                frames_per_buffer=CHUNK)
+        
+        while True:
+            try:
+                data = stream.read(CHUNK, exception_on_overflow=False)
+                self.audio_callback(data, CHUNK, time.time(), None)
+            except Exception as e:
+                print(e)
+                break
+
+if __name__ == "__main__":
+    def onSpeechStart():
+        print("Speech started")
+
+    def onSpeechEnd(path):
+        print("Speech ended")
+        print(f"Saved to {path}")
+    
+    vad = VADDetector(onSpeechStart, onSpeechEnd)
+    vad.startListening()

modules/Yolo.py

@@ -0,0 +1,94 @@
+from ultralytics import YOLO
+import supervision as sv
+import cv2
+from PIL import Image
+
+class Eyes():
+
+    def __init__(self, model_path = "./models/yolov8m.pt"):
+        self.model = YOLO(model_path)
+
+    def see(self):
+        print('\n\n \033[93m System watching...')
+        cam = cv2.VideoCapture(0)
+        ret, img = cam.read()
+        output = ""
+
+        if (ret):
+
+            img_pil = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
+
+            result = self.model(source = img_pil)
+
+            detections = sv.Detections.from_yolov8(result[0])
+
+            det_counter = {}
+            person_boxes = []
+
+            for bbox, _, conf, class_id, tracker_id in detections:
+
+                det_class = self.model.model.names[class_id]
+
+                if det_class in det_counter:
+                    det_counter[det_class] += 1
+                else:
+                    det_counter[det_class] = 1
+
+                if det_class == "person":
+                    person_boxes.append(bbox)
+
+                print(det_class)
+
+            for person_bbox in person_boxes:
+                for bbox, _, conf, class_id, tracker_id in detections:
+                    det_class = self.model.model.names[class_id]
+                    if det_class != "person" and self._is_box_inside(person_bbox, bbox):
+
+                        output = f"One person is holding a {det_class}\n"
+
+            # Create a sentence to describe the detected objects
+            detected_items = []
+
+            for item, count in det_counter.items():
+                detected_items.append(f"{count} {item}{'' if count == 1 else 's'}")
+
+
+            output = "The model detected: " + ", ".join(detected_items) + f"\n {output}"
+            print(output)
+            return output
+
+        else:
+            print("Vision module failed to load image")
+            return "Vision module failed to load image"
+
+    def _get_intersection_area(self, box1, box2):
+        x0_1, y0_1, x1_1, y1_1 = box1
+        x0_2, y0_2, x1_2, y1_2 = box2
+
+        x0_inter = max(x0_1, x0_2)
+        y0_inter = max(y0_1, y0_2)
+        x1_inter = min(x1_1, x1_2)
+        y1_inter = min(y1_1, y1_2)
+
+        if x1_inter < x0_inter or y1_inter < y0_inter:
+            return 0
+
+        return (x1_inter - x0_inter) * (y1_inter - y0_inter)
+
+    def _is_box_inside(self, box1, box2):
+        intersection_area = self._get_intersection_area(box1, box2)
+        area_1 = (box1[2] - box1[0]) * (box1[3] - box1[1])
+        area_2 = (box2[2] - box2[0]) * (box2[3] - box2[1])
+
+        ratio_1 = intersection_area / area_1
+        ratio_2 = intersection_area / area_2
+
+        return ratio_1 >= 0.5 or ratio_2 >= 0.5
+
+
+
+if __name__ == "__main__":
+
+    eyes = Eyes(model_path = "../models/yolov8m.pt")
+
+    print(eyes.see())

modules/command.py

@@ -0,0 +1,34 @@
+from transformers import pipeline
+from transformers import AutoTokenizer, AutoModelForSequenceClassification, TrainingArguments, Trainer
+
+class CommandDetector():
+
+    def __init__ (self, model_path, tokenizer = 'bert-base-uncased'):
+
+        self.tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')
+        self.classifier = pipeline('text-classification', model= model_path, tokenizer=tokenizer)
+
+
+    def command_filter(self, prompt):
+        # Classify the input prompt
+        result = self.classifier(prompt)
+        command_id = int(result[0]['label'].split('_')[-1])
+        command = {0: 'vision', 1: 'chat', 2: 'goodbye'}[command_id]
+
+        return command
+
+
+if __name__ == '__main__':
+    pass
+
+
+    # mycd = CommandDetector(model_path='../models/cd_CKPT_V')
+
+
+    # prompt1 = "How many people live in London?"
+    # prompt2 = "Can you see me?"
+    # prompt3 = "I want to create a new project"
+
+    # print(f'{prompt1} : {mycd.command_filter(prompt1)}')
+    # print(f'{prompt2} : {mycd.command_filter(prompt2)}')
+    # print(f'{prompt3} : {mycd.command_filter(prompt3)}')

modules/dataset.py

@@ -0,0 +1,766 @@
+VISION = [  ["What can you see?", "vision"],
+  ["What objects are in the image?", "vision"],
+  ["Can you describe the scene?", "vision"],
+  ["Can you detect a person in the image?", "vision"],
+  ["Are there any cars present in the scene?", "vision"],
+  ["Can you recognize a truck in the image?", "vision"],
+  ["Is there any motorcycle in the picture?", "vision"],
+  ["Are there any bicycles in the scene?", "vision"],
+  ["Can you identify a bus in the image?", "vision"],
+  ["Is there any train in the picture?", "vision"],
+  ["Can you detect a traffic light in the scene?", "vision"],
+  ["Are there any stop signs present in the image?", "vision"],
+  ["Can you recognize a fire hydrant in the picture?", "vision"],
+  ["Is there any parking meter in the scene?", "vision"],
+  ["Can you detect a bench in the image?", "vision"],
+  ["Are there any birds present in the picture?", "vision"],
+  ["Can you recognize a cat in the scene?", "vision"],
+  ["Is there any dog in the image?", "vision"],
+  ["Can you detect a horse in the picture?", "vision"],
+  ["Are there any sheep present in the scene?", "vision"],
+  ["Can you recognize a cow in the image?", "vision"],
+  ["Is there any elephant in the picture?", "vision"],
+  ["Can you detect a bear in the scene?", "vision"],
+  ["Are there any zebra present in the image?", "vision"],
+  ["Can you recognize a giraffe in the picture?", "vision"],
+  ["Is there any backpack in the scene?", "vision"],
+  ["Can you detect an umbrella in the image?", "vision"],
+  ["Are there any handbags present in the picture?", "vision"],
+  ["Can you recognize a tie in the scene?", "vision"],
+  ["Is there any suitcase in the image?", "vision"],
+  ["Can you detect a frisbee in the picture?", "vision"],
+  ["Are there any skis present in the scene?", "vision"],
+  ["Can you recognize a snowboard in the image?", "vision"],
+  ["Is there any sports ball in the picture?", "vision"],
+  ["Can you detect a kite in the scene?", "vision"],
+  ["Are there any baseball bats present in the image?", "vision"],
+  ["Can you recognize a baseball glove in the picture?", "vision"],
+  ["Is there any skateboard in the scene?", "vision"],
+  ["Can you detect a surfboard in the image?", "vision"],
+  ["Are there any tennis rackets present in the picture?", "vision"],
+  ["Can you recognize a bottle in the scene?", "vision"],
+  ["Is there any wine glass in the image?", "vision"],
+  ["Can you detect a cup in the picture?", "vision"],
+  ["Are there any forks present in the scene?", "vision"],
+  ["Can you recognize a knife in the image?", "vision"],
+  ["Is there any spoon in the picture?", "vision"],
+  ["Can you detect a bowl in the scene?", "vision"],
+  ["Are there any bananas present in the image?", "vision"],
+  ["Can you recognize an apple in the picture?", "vision"],
+  ["Is there any sandwich in the scene?", "vision"],
+  ["Can you identify the different types of office supplies that are visible on the desk, such as staplers, paper clips, or highlighters?", "vision"],
+  ["Are there any potted plants or other decorative items placed around the office to create a more pleasant and inviting atmosphere?", "vision"],
+  ["Can you detect any computer monitors, laptops, or other electronic devices that are commonly used by employees in the office space?", "vision"],
+  ["Is there a whiteboard or cork board in the office where important announcements, schedules, or ideas might be displayed?", "vision"],
+  ["Can you recognize any ergonomic office chairs or standing desks that are designed to promote better posture and overall health for the employees?", "vision"],
+  ["Are there any framed pictures, certificates, or awards on the walls that might represent the accomplishments or milestones of the company?", "vision"],
+  ["Can you detect any storage solutions, such as filing cabinets, bookshelves, or organizers, that are being used to keep the office neat and tidy?", "vision"],
+  ["Is there a designated area in the office where employees can gather for meetings, brainstorming sessions, or collaborative work?", "vision"],
+  ["Can you recognize any personal items, like family photos, mementos, or unique decorations, that employees have added to their workspace to make it feel more personal?", "vision"],
+  ["Are there any visible signs or labels indicating various office areas, such as a break room, conference room, or restrooms?", "vision"],
+  ["Can you see any bicycles nearby?", "vision"],
+  ["Is there a car in the image?", "vision"],
+  ["Are any dogs visible?", "vision"],
+  ["Can you detect a cat?", "vision"],
+  ["Is there a bird in the scene?", "vision"],
+  ["Are there any horses around?", "vision"],
+  ["Can you recognize a cow?", "vision"],
+  ["Is a parked bicycle visible?", "vision"],
+  ["Are any parked cars in view?", "vision"],
+  ["Can you see a squirrel?", "vision"],
+  ["Is the person holding a pen in their hand?", "vision"],
+  ["Can you see a coffee mug in the individual's hand?", "vision"],
+  ["Is there a stapler being held in the image?", "vision"],
+  ["Does the person have a pair of scissors in their hand?", "vision"],
+  ["Is the person holding a smartphone in the picture?", "vision"],
+  ["Can you identify a notepad in the individual's hand?", "vision"],
+  ["Is there a calculator being held in the image?", "vision"],
+  ["Does the person have a highlighter in their hand?", "vision"],
+  ["Is the person holding a USB flash drive in the picture?", "vision"],
+  ["Can you see a set of keys in the individual's hand?", "vision"],
+  ["Is there a business card being held in the image?", "vision"],
+  ["Does the person have a ruler in their hand?", "vision"],
+  ["Is the person holding a paperclip in the picture?", "vision"],
+  ["Can you identify a mouse in the individual's hand?", "vision"],
+  ["Is there a sticky note pad being held in the image?", "vision"],
+  ["Does the person have a binder clip in their hand?", "vision"],
+  ["Is the person holding a tablet device in the picture?", "vision"],
+  ["Can you see a book in the individual's hand?", "vision"],
+  ["Is there an envelope being held in the image?", "vision"],
+  ["Does the person have a pair of headphones in their hand?", "vision"]
+  ]
+
+CHAT = [["How was your day today?", "chat"],
+  ["What's your favorite hobby?", "chat"],
+  ["Have you seen any good movies lately?", "chat"],
+  ["What type of music do you enjoy listening to?", "chat"],
+  ["Do you have any favorite books?", "chat"],
+  ["What are your weekend plans?", "chat"],
+  ["Have you ever traveled abroad?", "chat"],
+  ["What's your favorite type of cuisine?", "chat"],
+  ["Do you play any musical instruments?", "chat"],
+  ["What's your favorite season?", "chat"],
+  ["How do you usually spend your free time?", "chat"],
+  ["Do you have any pets?", "chat"],
+  ["What's your favorite subject in school?", "chat"],
+  ["Do you enjoy sports?", "chat"],
+  ["What's your favorite way to stay active?", "chat"],
+  ["Are you a morning person or a night owl?", "chat"],
+  ["What's your favorite holiday?", "chat"],
+  ["Do you have any siblings?", "chat"],
+  ["What's your dream job?", "chat"],
+  ["If you could travel anywhere, where would you go?", "chat"],
+  ["Do you prefer the city or the countryside?", "chat"],
+  ["What's your favorite type of weather?", "chat"],
+  ["Have you ever been camping?", "chat"],
+  ["What's the most interesting thing you've learned recently?", "chat"],
+  ["Do you enjoy trying new things?", "chat"],
+  ["Are you an introvert or an extrovert?", "chat"],
+  ["What's your favorite way to relax?", "chat"],
+  ["Do you have a favorite TV show?", "chat"],
+  ["What's your favorite childhood memory?", "chat"],
+  ["Do you enjoy cooking?", "chat"],
+  ["Are you into gardening?", "chat"],
+  ["Do you have any favorite podcasts?", "chat"],
+  ["What's your favorite type of art?", "chat"],
+  ["Do you have a favorite color?", "chat"],
+  ["What's something you've always wanted to learn?", "chat"],
+  ["Have you ever been to a concert?", "chat"],
+  ["Do you have any favorite quotes?", "chat"],
+  ["What's your favorite type of dessert?", "chat"],
+  ["Do you enjoy going to parties?", "chat"],
+  ["What's your favorite kind of coffee?", "chat"],
+  ["Do you prefer tea or coffee?", "chat"],
+  ["What's your favorite type of exercise?", "chat"],
+  ["Do you have a favorite board game?", "chat"],
+  ["What's your favorite type of flower?", "chat"],
+  ["Do you enjoy hiking?", "chat"],
+  ["What's your favorite animal?", "chat"],
+  ["Do you like going to the beach?", "chat"],
+  ["What's your favorite way to stay organized?", "chat"],
+  ["Do you have any hidden talents?", "chat"],
+  ["What's something you're proud of?", "chat"],
+  ["I went for a walk in the park today.", "chat"],
+  ["I've been learning how to play the guitar.", "chat"],
+  ["Yesterday, I tried a new recipe and it turned out great.", "chat"],
+  ["I love watching sunsets by the beach.", "chat"],
+  ["My favorite season is autumn because of the beautiful colors.", "chat"],
+  ["I recently started doing yoga to improve my flexibility.", "chat"],
+  ["Last weekend, I attended a friend's wedding.", "chat"],
+  ["I've been reading a fascinating book about history lately.", "chat"],
+  ["I enjoy listening to classical music while working.", "chat"],
+  ["My favorite hobby is photography.", "chat"],
+  ["I've always wanted to learn how to dance salsa.", "chat"],
+  ["My family and I went hiking in the mountains last summer.", "chat"],
+  ["I love visiting art galleries and museums.", "chat"],
+  ["I recently adopted a rescue dog, and he's so adorable.", "chat"],
+  ["My favorite type of cuisine is Italian.", "chat"],
+  ["I love going to concerts and experiencing live music.", "chat"],
+  ["I find painting to be a relaxing activity.", "chat"],
+  ["One of my favorite movies is The Shawshank Redemption.", "chat"],
+  ["I enjoy playing board games with my friends.", "chat"],
+  ["I've always admired Vincent van Gogh's art.", "chat"],
+  ["I enjoy gardening and growing my own vegetables.", "chat"],
+  ["I find stargazing to be a fascinating hobby.", "chat"],
+  ["My favorite book is To Kill a Mockingbird.", "chat"],
+  ["I love the smell of freshly brewed coffee in the morning.", "chat"],
+  ["I find baking to be a fun and creative activity.", "chat"],
+  ["I'm learning a new language to challenge myself.", "chat"],
+  ["I've been practicing meditation to help with stress.", "chat"],
+  ["I enjoy volunteering at the local animal shelter.", "chat"],
+  ["My favorite flower is the rose because of its beauty and fragrance.", "chat"],
+  ["I love exploring new places and trying new food.", "chat"],
+  ["I find swimming to be a great form of exercise.", "chat"],
+  ["One of my favorite childhood memories is going on family vacations.", "chat"],
+  ["I've always been fascinated by astronomy.", "chat"],
+  ["I enjoy watching documentaries about nature and wildlife.", "chat"],
+  ["My favorite type of tea is green tea.", "chat"],
+  ["I've recently taken up pottery as a new hobby.", "chat"],
+  ["I enjoy going for long bike rides on weekends.", "chat"],
+  ["I love listening to jazz music while cooking dinner.", "chat"],
+  ["I'm a big fan of mystery novels.", "chat"],
+  ["I find spending time in nature to be very therapeutic.", "chat"],
+  ["I enjoy going to comedy shows and having a good laugh.", "chat"],
+  ["I love the feeling of accomplishment after finishing a challenging puzzle.", "chat"],
+  ["I find the sound of rain to be very calming.", "chat"],
+  ["I enjoy visiting local farmers' markets on weekends.", "chat"],
+  ["I love the smell of fresh flowers in the spring.", "chat"],
+  ["My favorite holiday is Christmas because of the festive atmosphere.", "chat"],
+  ["I will add a new feature for you!", "chat"],
+  ["Hey buddy", "chat"],
+  ["I'm working on a text analyzer so it makes your job easier", "chat"],
+    ["During your free time, do you find it more enjoyable to engage in outdoor activities or would you rather spend the day indoors with a good book or movie?", "chat"],
+  ["When it comes to vacations, do you prefer exploring bustling cities with lots of history and culture or relaxing on a quiet beach with a beautiful view?", "chat"],
+  ["If you were given the opportunity to learn a new skill or talent, what would you choose and why do you think it would be an interesting or valuable addition to your life?", "chat"],
+  ["In your opinion, what are some important qualities to have when forming and maintaining friendships or personal relationships with others?", "chat"],
+  ["If you had the chance to start your own business or organization, what kind of industry would it be in and what would you hope to accomplish with it?", "chat"],
+  ["What are some of your favorite ways to stay informed about current events and world news, and how do you ensure that you're getting accurate and unbiased information?", "chat"],
+  ["If you could design your ideal living space, what kind of features or amenities would it include, and how would it reflect your personality or personal style?", "chat"],
+  ["What's your perspective on the role of technology in our lives, and do you think there is a balance that should be struck between embracing its benefits and preserving our sense of connection to the natural world?", "chat"],
+  ["If you were given the chance to spend a day in the life of someone you admire, who would it be and what do you think you would learn from the experience?", "chat"],
+  ["What are some memorable experiences or moments in your life that have shaped your values, beliefs, or the person you are today?", "chat"],
+  ["Hi there.", "chat"],
+  ["Hey, what's new with you?", "chat"],
+  ["Hello! How have you been lately?", "chat"],
+  ["Greetings!", "chat"],
+  ["Hi, how's everything in your world?", "chat"],
+  ["Hey there, how's life treating you?", "chat"],
+  ["Hello, what's happening in your life?", "chat"],
+  ["Hi, how are you feeling today?", "chat"],
+  ["Hey, what's going on with you?", "chat"],
+  ["Howdy, what's new and exciting?", "chat"],
+  ["Bonjour, how is your day going?", "chat"],
+  ["Hola, what's happening today?", "chat"],
+  ["Hey! How's your week been so far?", "chat"],
+  ["Hello, any interesting plans for the day?", "chat"],
+  ["Hi, how has your day been so far?", "chat"],
+  ["Hey, any exciting news to share?", "chat"],
+  ["Good day! What's the latest with you?", "chat"],
+  ["Salutations! How are things going?", "chat"],
+  ["Greetings, any fun stories to share?", "chat"],
+  ["Hi there, how's your morning or afternoon?", "chat"],
+  ["Hey! What have you been up to lately?", "chat"],
+  ["Hello, how's the weather treating you?", "chat"],
+  ["Hi, any interesting projects you're working on?", "chat"],
+  ["Hey there, how's your weekend going?", "chat"],
+  ["Hello! What's been keeping you busy?", "chat"],
+  ["Greetings! Have you had any recent adventures?", "chat"],
+  ["Hey! What's something new you've learned?", "chat"],
+  ["Hello, have you discovered any new hobbies?", "chat"],
+  ["Hi, how's your family and friends doing?", "chat"],
+  ["Hello, GPT.", "chat"],
+  ["Hello!", "chat"],
+  ["Hi!", "chat"],
+  ["Hi.", "chat"],
+  ["Hello.", "chat"],
+  ["Hey, this is Mario.", "chat"],
+  ["Hey, GPT.", "chat"],
+  ["What's your dream job?", "chat"],
+  ["If you could travel anywhere, where would you go?", "chat"],
+  ["Do you prefer the city or the countryside?", "chat"],
+  ["What's your favorite type of weather?", "chat"],
+  ["Have you ever been camping?", "chat"],
+  ["What's the most interesting thing you've learned recently?", "chat"],
+  ["Do you enjoy trying new things?", "chat"],
+  ["Are you an introvert or an extrovert?", "chat"],
+  ["What's your favorite way to relax?", "chat"],
+  ["Do you have a favorite TV show?", "chat"],
+  ["What's your favorite childhood memory?", "chat"],
+  ["Do you enjoy cooking?", "chat"],
+  ["I love hiking in the mountains.", "chat"],
+  ["I recently started learning how to play the guitar.", "chat"],
+  ["I'm a big fan of sci-fi movies.", "chat"],
+  ["I enjoy spending time with my family and friends.", "chat"],
+  ["I'm trying to read more books this year.", "chat"],
+  ["I like to exercise in the morning before work.", "chat"],
+  ["I'm interested in learning more about different cultures.", "chat"],
+  ["I recently visited a new restaurant and had an amazing meal.", "chat"],
+  ["I enjoy listening to podcasts on my commute to work.", "chat"],
+  ["I'm trying to learn a new language.", "chat"],
+  ["I love watching sports, especially basketball.", "chat"],
+  ["I'm a big fan of spicy food.", "chat"],
+  ["I recently started a new hobby, painting.", "chat"],
+  ["I enjoy going to concerts and music festivals.", "chat"],
+  ["I'm planning a trip to Europe next year.", "chat"],
+  ["I love going to the beach in the summer.", "chat"],
+  ["I recently saw a great play at the theater.", "chat"],
+  ["I enjoy going to art museums and galleries.", "chat"],
+  ["I'm a big fan of board games and card games.", "chat"],
+  ["I like to volunteer at my local animal shelter in my free time.", "chat"],
+  ["I'm working on designing a more energy-efficient HVAC system for commercial buildings.", "chat"],
+  ["I've been developing a mobile app to help users monitor and reduce their energy consumption.", "chat"],
+  ["I'm designing a bridge that can withstand extreme weather conditions.", "chat"],
+  ["I'm researching ways to improve water filtration systems for developing countries.", "chat"],
+  ["I've been working on creating a new, lightweight material for aerospace applications.", "chat"],
+  ["I'm planning to build a solar-powered irrigation system for rural areas.", "chat"],
+  ["I'm designing a self-driving car with enhanced safety features.", "chat"],
+  ["I've been working on a project to optimize traffic flow in urban areas using machine learning.", "chat"],
+  ["I'm developing a new method for recycling electronic waste more efficiently.", "chat"],
+  ["I'm creating a smart home automation system to increase energy efficiency and convenience.", "chat"],
+  ["I'm working on a project to harness wave energy for sustainable power generation.", "chat"],
+  ["I've been researching how to use AI to predict and prevent infrastructure failures.", "chat"],
+  ["I'm developing a new type of prosthetic limb with advanced functionality and comfort.", "chat"],
+  ["I'm working on a project to improve internet access in remote and underserved areas.", "chat"],
+  ["I'm designing an earthquake-resistant building using innovative construction techniques.", "chat"],
+  ["I've been developing a drone-based system for emergency response and disaster relief.", "chat"],
+  ["I'm creating a more efficient and environmentally friendly method for desalinating seawater.", "chat"],
+  ["I'm working on a project to optimize supply chain management using blockchain technology.", "chat"],
+  ["I've been researching ways to improve the durability and lifespan of batteries for electric vehicles.", "chat"],
+  ["I'm designing a vertical farming system to increase food production in urban areas.", "chat"]
+  ]
+
+GOODBYE = [["That's all for today GPT!", "goodbye"],
+  ["It was nice talking to you, see you later!", "goodbye"],
+  ["Goodbye! Have a great day!", "goodbye"],
+  ["Talk to you soon, bye!", "goodbye"],
+  ["Farewell, until next time!", "goodbye"],
+  ["Catch you later, bye!", "goodbye"],
+  ["I'm signing off now, goodbye!", "goodbye"],
+  ["Thanks for the chat, bye!", "goodbye"],
+  ["Take care, goodbye!", "goodbye"],
+  ["Goodbye for now, talk to you later!", "goodbye"],
+  ["It's time for me to go, bye!", "goodbye"],
+  ["I have to leave now, goodbye!", "goodbye"],
+  ["It was a pleasure chatting, goodbye!", "goodbye"],
+  ["Until we meet again, goodbye!", "goodbye"],
+  ["Adios, see you later!", "goodbye"],
+  ["Time to say goodbye, have a nice day!", "goodbye"],
+  ["Bye for now, have a great time!", "goodbye"],
+  ["See you soon, take care!", "goodbye"],
+  ["I'm off, bye!", "goodbye"],
+  ["Au revoir, talk to you later!", "goodbye"],
+  ["Thanks for everything, bye!", "goodbye"],
+  ["It's time for me to head out, goodbye!", "goodbye"],
+  ["Adios, have a great day!", "goodbye"],
+  ["Goodbye, it was nice chatting with you!", "goodbye"],
+  ["Signing off, take care!", "goodbye"],
+  ["I'm leaving now, bye!", "goodbye"],
+  ["Hasta la vista, baby!", "goodbye"],
+  ["See you later, have a good one!", "goodbye"],
+  ["Time to go, goodbye!", "goodbye"],
+  ["I enjoyed our conversation, goodbye!", "goodbye"],
+  ["Goodbye, have a fantastic day!", "goodbye"],
+  ["I'll catch you later, bye!", "goodbye"],
+  ["Thanks for your time, goodbye!", "goodbye"],
+  ["It's been fun, see you next time!", "goodbye"],
+  ["Take it easy, goodbye!", "goodbye"],
+  ["See ya!", "goodbye"],
+  ["Later!", "goodbye"],
+  ["Catch you on the flip side!", "goodbye"],
+  ["Take it easy!", "goodbye"],
+  ["Peace out!", "goodbye"],
+  ["Adios, amigo!", "goodbye"],
+  ["Gotta run, bye!", "goodbye"],
+  ["Off I go, later!", "goodbye"],
+  ["Until we meet again!", "goodbye"],
+  ["Bye for now!", "goodbye"],
+  ["Outta here, bye!", "goodbye"],
+  ["Time to bounce, see ya!", "goodbye"],
+  ["Bye-bye!", "goodbye"],
+  ["Hasta la vista!", "goodbye"],
+  ["I'm out, peace!", "goodbye"],
+  ["Later, alligator!", "goodbye"],
+  ["I'm off like a rocket, bye!", "goodbye"],
+  ["Take care, dude!", "goodbye"],
+  ["Smell ya later!", "goodbye"],
+  ["I'm hitting the road, bye!", "goodbye"],
+  ["Bye, have a blast!", "goodbye"],
+  ["Till next time!", "goodbye"],
+  ["Catch you later, mate!", "goodbye"],
+  ["Time to make like a tree and leaf, goodbye!", "goodbye"],
+  ["See you in a bit!", "goodbye"],
+  ["Bye, and don't forget to rock on!", "goodbye"],
+  ["Peace and love, bye!", "goodbye"],
+  ["Gotta jet, later!", "goodbye"],
+  ["Bye, have a good one!", "goodbye"],
+  ["Catch you on the flip side, amigo!", "goodbye"],
+  ["Time to disappear, bye!", "goodbye"],
+  ["Bye, and keep it real!", "goodbye"],
+  ["Out the door, see ya!", "goodbye"],
+  ["Take care, and stay awesome!", "goodbye"],
+  ["Bye, and don't let the bedbugs bite!", "goodbye"],
+  ["Adios, and may the force be with you!", "goodbye"],
+  ["I'm off like a shot, bye!", "goodbye"],
+  ["Bye, and may your day be as awesome as you are!", "goodbye"],
+  ["Catch you later, alligator!", "goodbye"],
+  ["Time to hit the road, see ya!", "goodbye"],
+  ["Bye, and have a wicked day!", "goodbye"],
+  ["Peace, love, and rock 'n' roll, bye!", "goodbye"],
+  ["Gotta dash, later!", "goodbye"],
+  ["Bye, and keep shining bright!", "goodbye"],
+  ["Off I go, see you around!", "goodbye"],
+  ["Take care, and stay cool!", "goodbye"],
+  ["Bye, and have a kickass time!", "goodbye"],
+  ["Adios, and hasta luego!", "goodbye"],
+  ["I'm outta here, bye!", "goodbye"],
+  ["Bye, and don't forget to have a blast!", "goodbye"],
+  ["Catch you on the flip side, dude!", "goodbye"],
+  ["Time to make like a ghost and disappear, goodbye!", "goodbye"],
+  ["Farewell, my friend!", "goodbye"],
+  ["See you on the other side!", "goodbye"],
+  ["Until next time, take care!", "goodbye"],
+  ["Off into the sunset, bye!", "goodbye"],
+  ["Bye, and keep the adventure alive!", "goodbye"],
+  ["Catch you later, partner!", "goodbye"],
+  ["Time to vanish into thin air, adieu!", "goodbye"],
+  ["Bye, and may the odds be ever in your favor!", "goodbye"],
+  ["Parting is such sweet sorrow", "goodbye"],
+  ["Bye, and stay curious!", "goodbye"],
+  ["Safe travels, my friend!", "goodbye"],
+  ["Hasta luego, and bon voyage!", "goodbye"],
+  ["I'm off like a shooting star, farewell!", "goodbye"],
+  ["Bye, and let your dreams soar high!", "goodbye"],
+  ["Catch you in the great unknown, adios!", "goodbye"],
+  ["Time to sail away, goodbye!", "goodbye"],
+  ["Bye, and keep spreading joy!", "goodbye"],
+  ["May the road rise up to meet you, farewell!", "goodbye"],
+  ["Bye, and embrace the magic of life!", "goodbye"],
+  ["Fare thee well, until we meet again!", "goodbye"],
+  ["Farewell, and may your journey be filled with wonders!", "goodbye"],
+  ["Bye, and keep chasing your dreams!", "goodbye"],
+  ["Take flight and soar high, adieu!", "goodbye"],
+  ["Bye, and never stop exploring!", "goodbye"],
+  ["Wishing you fair winds and following seas, farewell!", "goodbye"],
+  ["Farewell, and let the stars guide you!", "goodbye"],
+  ["Bye, and may your path be filled with love!", "goodbye"],
+  ["Take a bow and exit the stage, adieu!", "goodbye"],
+  ["Bye, and may your spirit always be wild and free!", "goodbye"],
+  ["Farewell, and may the universe conspire in your favor!", "goodbye"],
+  ["Bye, and keep shining bright like a diamond!", "goodbye"],
+  ["Time to write your own story, farewell!", "goodbye"],
+  ["Bye, and may your heart be forever young!", "goodbye"],
+  ["Wishing you blue skies and smooth sailing, adios!", "goodbye"],
+  ["Farewell, and let the music guide your soul!", "goodbye"],
+  ["Bye, and may your path be filled with serendipity!", "goodbye"],
+  ["Bon voyage, and may your adventures be legendary!", "goodbye"],
+  ["Bye, and keep dancing to the rhythm of life!", "goodbye"],
+  ["Fly high and reach for the stars, farewell!", "goodbye"],
+  ["Bye, and may your spirit be as fierce as a lion!", "goodbye"],
+  ["Au revoir, and may life treat you kind!", "goodbye"],
+  ["Farewell, and may love light your way!", "goodbye"],
+  ["Bye, and keep painting the world with your colors!", "goodbye"],
+  ["Sail away into the sunset, adieu!", "goodbye"],
+  ["Bye, and may your laughter echo through eternity!", "goodbye"],
+  ["Take a leap of faith, farewell!", "goodbye"],
+  ["Bye, and may your path be paved with stardust!", "goodbye"],
+  ["Journey on, my friend, adieu!", "goodbye"],
+  ["Farewell, and may your spirit soar high!", "goodbye"],
+  ["Bye, and keep the fire in your heart burning bright!", "goodbye"]
+  ]
+
+GOOGLE = [["How do I find cheap flights to Europe?", "google"],
+  ["What are the top 10 beaches to visit in the summer?", "google"],
+  ["What are the most popular plays in theaters right now?", "google"],
+  ["Which art museums and galleries should I visit in Paris?", "google"],
+  ["How do I say 'hello' in Italian?", "google"],
+  ["What are the best restaurants in Rome?", "google"],
+  ["When is the best time to visit London?", "google"],
+  ["What are the must-see tourist attractions in Berlin?", "google"],
+  ["How do I navigate the public transportation in Amsterdam?", "google"],
+  ["What are the best hiking trails in the Swiss Alps?", "google"],
+  ["Which European countries require a visa for US citizens?", "google"],
+  ["What are the best souvenirs to bring back from Greece?", "google"],
+  ["How do I convert euros to dollars?", "google"],
+  ["What are the top 5 castles to visit in Germany?", "google"],
+  ["What's the weather like in Barcelona in September?", "google"],
+  ["What are the UNESCO World Heritage Sites in Europe?", "google"],
+  ["How do I rent a car in France?", "google"],
+  ["What's the history behind the Eiffel Tower?", "google"],
+  ["How do I find local events and festivals in Madrid?", "google"],
+  ["What are the best day trips from Vienna?", "google"],
+  ["What are the best things to do in Stockholm?", "google"],
+  ["How do I find guided tours in Prague?", "google"],
+  ["What's the best way to experience the Northern Lights?", "google"],
+  ["What are the most beautiful cities in Portugal?", "google"],
+  ["How can I learn basic phrases in French?", "google"],
+  ["What are the top 10 European destinations for foodies?", "google"],
+  ["How do I find accommodation in Budapest?", "google"],
+  ["What are the most famous landmarks in Brussels?", "google"],
+  ["How do I get from Heathrow Airport to central London?", "google"],
+  ["What are the best parks and gardens to visit in Copenhagen?", "google"],
+  ["What are the must-see historical sites in Istanbul?", "google"],
+  ["How do I find the best train routes in Europe?", "google"],
+  ["What are the top 5 wine regions in France?", "google"],
+  ["What's the difference between the Schengen Area and the European Union?", "google"],
+  ["What are the best shopping districts in Milan?", "google"],
+  ["How do I purchase a SIM card for my phone while traveling in Europe?", "google"],
+  ["What are the best European cities for street art?", "google"],
+  ["How do I find traditional music and dance performances in Dublin?", "google"],
+  ["What are the best European cities for cycling?", "google"],
+  ["How do I find popular flea markets and antique shops in Edinburgh?", "google"],
+  ["What are the best resources to learn Python programming?", "google"],
+  ["How do I set up a local development environment?", "google"],
+  ["What are the differences between Java and JavaScript?", "google"],
+  ["Which programming languages are best for web development?", "google"],
+  ["What is the best way to learn data structures and algorithms?", "google"],
+  ["How do I start developing an Android app?", "google"],
+  ["What are the key features of object-oriented programming?", "google"],
+  ["How do I connect to a database using PHP?", "google"],
+  ["What are the benefits of using version control systems like Git?", "google"],
+  ["What are the best resources to learn C++ programming?", "google"],
+  ["How do I create a responsive website using HTML, CSS, and JavaScript?", "google"],
+  ["What are the most popular Python libraries for machine learning?", "google"],
+  ["How do I debug code effectively?", "google"],
+  ["What are the best practices for writing secure code?", "google"],
+  ["What is the difference between SQL and NoSQL databases?", "google"],
+  ["How do I create an API using Node.js and Express?", "google"],
+  ["What are the best resources for learning Ruby on Rails?", "google"],
+  ["How do I deploy a web application to a server?", "google"],
+  ["What are the main principles of functional programming?", "google"],
+  ["How do I choose the right programming language for my project?", "google"],
+  ["What are the health benefits of a Mediterranean diet?", "google"],
+  ["How do I make authentic Italian pizza at home?", "google"],
+  ["What are the best vegetarian protein sources?", "google"],
+  ["What are some easy recipes for meal prep?", "google"],
+  ["How do I store fresh herbs to maximize their shelf life?", "google"],
+  ["What are the most popular street foods from around the world?", "google"],
+  ["How do I cook the perfect steak?", "google"],
+  ["What are some delicious gluten-free dessert recipes?", "google"],
+  ["How do I brew my own kombucha?", "google"],
+  ["What are the best substitutes for common food allergies?", "google"],
+  ["What are the most effective exercises for building muscle?", "google"],
+  ["How can I improve my running endurance?", "google"],
+  ["What are the basic rules of basketball?", "google"],
+  ["How do I choose the right yoga style for me?", "google"],
+  ["What are the benefits of high-intensity interval training (HIIT)?", "google"],
+  ["How do I create a workout routine for weight loss?", "google"],
+  ["What are the best stretches for increasing flexibility?", "google"],
+  ["How can I prevent common sports injuries?", "google"],
+  ["What are the fundamentals of soccer?", "google"],
+  ["How do I improve my swimming technique?", "google"],
+  ["Can you find the Petoi Bittle repository on github?", "google"],
+  ["Who is the YOLO algorithm creator?", "google"],
+  ["Find YOLOv8 documentation", "google"],
+  ["Effective exercises to target abdominal muscles", "google"],
+  ["Increase running endurance", "google"],
+  ["Benefits of incorporating strength training into fitness routine", "google"],
+  ["Properly warm up before a workout", "google"],
+  ["Healthy snack options for post-workout recovery", "google"],
+  ["Information on different types of yoga and their benefits", "google"],
+  ["Improve basketball shooting accuracy", "google"],
+  ["Key principles of weightlifting for muscle gain", "google"],
+  ["Prevent muscle soreness after intense workouts", "google"],
+  ["Benefits of high-intensity interval training (HIIT)", "google"],
+  ["Effective exercises for strengthening the back muscles", "google"],
+  ["Improve balance and stability", "google"],
+  ["Recommended guidelines for safe weightlifting", "google"],
+  ["Official website for the FIFA World Cup", "google"],
+  ["Current world record holder for the men's 100-meter sprint", "google"],
+  ["Calculate body mass index (BMI)", "google"],
+  ["Advantages of using resistance bands in workouts", "google"],
+  ["Proper form for a deadlift", "google"],
+  ["Famous athletes known for their discipline and dedication", "google"],
+  ["Prevent muscle imbalances during strength training", "google"],
+  ["Tips for maintaining a healthy diet", "google"],
+  ["Importance of hydration during exercise", "google"],
+  ["How to stay motivated to exercise regularly", "google"],
+  ["Benefits of cross-training in fitness routines", "google"],
+  ["Proper technique for performing squats", "google"],
+  ["Effective exercises for building strong biceps", "google"],
+  ["Ways to improve flexibility without stretching", "google"],
+  ["Benefits of cardiovascular exercise for heart health", "google"],
+  ["Proper nutrition for muscle recovery after workouts", "google"],
+  ["How to avoid workout plateaus and keep progressing", "google"],
+  ["The role of rest and recovery in fitness training", "google"],
+  ["Benefits of outdoor workouts compared to indoor workouts", "google"],
+  ["Common mistakes to avoid when starting a new fitness routine", "google"],
+  ["Tips for staying safe while exercising in hot weather", "google"],
+  ["The impact of sleep on athletic performance", "google"],
+  ["Proper technique for performing lunges", "google"],
+  ["The benefits of incorporating yoga into a fitness routine", "google"],
+  ["How to overcome exercise-related anxiety", "google"],
+  ["Proper form for performing push-ups", "google"],
+  ["The role of carbohydrates in fueling workouts", "google"],
+  ["Tips for preventing and managing exercise-induced injuries", "google"],
+  ["The benefits of strength training for older adults", "google"],
+  ["How to create a home gym on a budget", "google"],
+  ["The impact of stress on physical fitness", "google"],
+  ["Tips for staying active during a busy work schedule", "google"],
+  ["Proper technique for performing a plank exercise", "google"],
+  ["The benefits of practicing mindfulness during workouts", "google"],
+  ["How to set realistic fitness goals", "google"],
+  ["The importance of proper breathing during exercise", "google"],
+  ["Tips for maintaining exercise consistency while traveling", "google"],
+  ["Proper technique for performing a kettlebell swing", "google"],
+  ["The benefits of group fitness classes", "google"],
+  ["How to incorporate interval training into a running routine", "google"],
+  ["Tips for preventing and managing workout-related muscle cramps", "google"],
+  ["Introduction to object-oriented programming", "google"],
+  ["Top programming languages for web development", "google"],
+  ["Common data structures and their applications", "google"],
+  ["Best practices for writing clean and maintainable code", "google"],
+  ["Introduction to machine learning algorithms", "google"],
+  ["How to implement a sorting algorithm in Python", "google"],
+  ["Understanding the concept of recursion in programming", "google"],
+  ["Introduction to artificial intelligence and its applications", "google"],
+  ["How to build a basic chatbot using Python", "google"],
+  ["Best practices for version control with Git", "google"],
+  ["Introduction to robotics and its interdisciplinary nature", "google"],
+  ["How to program a simple robotic arm", "google"],
+  ["Exploring computer vision techniques and applications", "google"],
+  ["Introduction to natural language processing", "google"],
+  ["Understanding the basics of neural networks", "google"],
+  ["How to build a web scraping tool using Python", "google"],
+  ["Exploring the field of autonomous vehicles", "google"],
+  ["Introduction to embedded systems programming", "google"],
+  ["How to build a mobile app using React Native", "google"],
+  ["Understanding the fundamentals of cybersecurity", "google"],
+  ["Best practices for software testing and debugging", "google"],
+  ["Introduction to Internet of Things (IoT) and its applications", "google"],
+  ["How to implement a RESTful API using Node.js", "google"],
+  ["Exploring the field of augmented reality development", "google"],
+  ["Introduction to cloud computing and its benefits", "google"],
+  ["How to deploy a web application on AWS", "google"],
+  ["Understanding the concept of blockchain technology", "google"],
+  ["Best practices for database design and optimization", "google"],
+  ["Introduction to computer networks and their components", "google"],
+  ["How to build a basic recommender system", "google"],
+  ["Exploring the field of computer graphics and rendering", "google"],
+  ["Introduction to cybersecurity and common threats", "google"],
+  ["How to build a Twitter sentiment analysis tool using machine learning", "google"],
+  ["Understanding the principles of functional programming", "google"],
+  ["Best practices for optimizing website performance", "google"],
+  ["Introduction to quantum computing and its potential applications", "google"],
+  ["How to implement a genetic algorithm in Python", "google"],
+  ["Exploring the field of natural language generation", "google"],
+  ["Introduction to data mining and its techniques", "google"],
+  ["Understanding the basics of cloud-native architecture", "google"],
+  ["How to build a recommendation system using collaborative filtering", "google"],
+  ["Best practices for secure software development", "google"],
+  ["Introduction to computer vision and image processing", "google"],
+  ["How to implement a binary search tree in Java", "google"],
+  ["Exploring the field of virtual reality development", "google"],
+  ["Introduction to big data analytics and its tools", "google"],
+  ["Understanding the principles of distributed systems", "google"],
+  ["How to build a simple CRUD application using Flask", "google"],
+  ["Exploring the field of natural language understanding", "google"],
+  ["Introduction to data visualization and its techniques", "google"],
+  ["Best practices for building scalable web applications", "google"],
+  ["How to implement a recommendation system using matrix factorization", "google"],
+  ["Understanding the basics of web security", "google"],
+  ["Introduction to machine learning and its types", "google"],
+  ["How to build a sentiment analysis model using TensorFlow", "google"],
+  ["Exploring the field of robotics process automation", "google"],
+  ["Introduction to cloud-native development and microservices", "google"],
+  ["How to build a RESTful API using Django", "google"],
+  ["Understanding the concept of biometric authentication", "google"],
+  ["Best practices for continuous integration and continuous deployment", "google"],
+  ["Introduction to natural language generation and its applications", "google"],
+  ]
+
+GITHUB = [["I want to create a new project", "github"],
+  ["Let's open a new repository", "github"],
+  ["Create a new repo!", "github"],
+  ["Why don't we create a fresh repository on GitHub?", "github"],
+  ["Time to kick off a new project!", "github"],
+  ["Let's begin a fresh project from scratch.", "github"],
+  ["We need to create a project for this idea.", "github"],
+  ["Starting a new project is exciting, let's dive in!", "github"],
+  ["I have an idea for a project, let's make it happen!", "github"],
+  ["Let's embark on a new project journey together.", "github"],
+  ["We should initiate a project and bring it to life.", "github"],
+  ["I'm eager to begin a new project.", "github"],
+  ["We should initiate a project and set up a repository to get started!", "github"],
+  ["Let's create a project from scratch.", "github"],
+  ["I want to embark on a new project. How about starting it off with a repository?", "github"],
+  ["We're ready to dive into a new project. Let's establish a central hub for collaboration!", "github"],
+  ["It's time to launch a fresh endeavor! Let's create a repository to manage it effectively.", "github"],
+  ["We're looking to start a brand-new project. Let's open a repository to track our progress.", "github"],
+  ["I have an exciting idea for a project. How about we create a repository to bring it to life?", "github"],
+  ["I want to create a new project. Let's open a repository!", "github"],
+  ["Let's kick off a new project by creating a fresh repository.", "github"],
+  ["We need to create a project for this idea. How about starting with a repository on GitHub?", "github"],
+  ["Starting a new project is exciting! Let's dive in by creating a repository.", "github"],
+  ["I have an idea for a project. Let's make it happen with a new repository on GitHub.", "github"],
+  ["Let's embark on a new project journey together. First step: create a repository.", "github"],
+  ["We should initiate a project and bring it to life. How about setting up a repository?", "github"],
+  ["I'm eager to begin a new project. Let's create a repository to get started!", "github"],
+  ["Let's create a project from scratch. Opening a repository would be a great first step.", "github"],
+  ["I want to embark on a new project. How about starting it off with a repository?", "github"],
+  ["We're ready to dive into a new project. Let's establish a central hub for collaboration!", "github"],
+  ["It's time to launch a fresh endeavor! Let's create a repository to manage it effectively.", "github"],
+  ["We're looking to start a brand-new project. How about opening a repository to track our progress?", "github"],
+  ["I have an exciting idea for a project. How about we create a repository to bring it to life?", "github"],
+  ["Let's start a new project by setting up a repository. It'll be our collaboration hub!", "github"],
+  ["A new project awaits! Let's create a repository on GitHub and get things rolling.", "github"],
+  ["To begin our exciting new project, let's establish a repository on GitHub.", "github"],
+  ["Let's start a fresh project by opening a repository on GitHub. It'll be our project's home.", "github"],
+  ["We're ready to start a new project. Let's create a repository on GitHub and begin the journey!", "github"],
+  ["I'm eager to start a new project. Let's create a repository to kick things off.", "github"],
+  ["Let's begin a fresh endeavor by setting up a repository for our project.", "github"],
+  ["We're ready to dive into a new project. Let's establish a central hub for collaboration.", "github"],
+  ["It's time to launch a fresh initiative! Let's create a repository to effectively manage our project.", "github"],
+  ["We're looking to start a brand-new project. Let's open a repository to track our progress.", "github"],
+  ["I have an exciting idea for a project. How about we create a repository to bring it to life?", "github"],
+  ["Let's establish a collaborative space for our project. Opening a repository would be a great start.", "github"],
+  ["A new project awaits! Let's create a repository and get things rolling.", "github"],
+  ["To begin our exciting new project, let's establish a repository as our project's home.", "github"],
+  ["Let's start fresh by opening a repository. It'll serve as a central hub for our new project.", "github"],
+  ["We're ready to start a new project. Let's create a repository and begin the journey.", "github"],
+  ["The first step towards success is creating a repository for our new project.", "github"],
+  ["I'm thrilled to kick off a new project! Let's create a repository and get started.", "github"],
+  ["Let's give life to our project idea by establishing a repository.", "github"],
+  ["We're eager to start a new project. Let's create a repository and get to work.", "github"],
+  ["A new project calls for a fresh start. Let's open a repository and make it happen.", "github"],
+  ["To bring our project idea to fruition, let's set up a repository.", "github"],
+  ["Let's set the stage for our new project by establishing a repository.", "github"],
+  ["We're on the verge of something great. Let's create a repository and begin our project.", "github"],
+  ["Ready, set, go! Let's open a repository and jumpstart our new project.", "github"],
+  ["The path to success starts with a repository. Let's create one for our new project.", "github"],
+  ["Let's seize the opportunity and start a new project. Opening a repository is the first step.", "github"],
+  ["A new project is like a blank canvas. Let's create a repository and start painting.", "github"],
+  ["We're full of enthusiasm for our new project. Let's channel it by creating a repository.", "github"],
+  ["Let's make our project dreams a reality. Opening a repository is the way to go.", "github"],
+  ["Ready for a fresh challenge? Let's create a repository and begin our new project.", "github"],
+  ["We're about to embark on an exciting journey. Let's create a repository to map our progress.", "github"],
+  ["Our project is about to take flight. Let's establish a repository and soar to new heights.", "github"],
+  ["Starting a new project requires organization. Let's create a repository and stay on track.", "github"],
+  ["The time has come to breathe life into our project. Let's create a repository and make it happen.", "github"],
+  ["Let's set the wheels in motion for our new project. Opening a repository is the way forward.", "github"],
+  ["Ready to unleash our creativity? Let's create a repository and let the magic begin.", "github"],
+  ["We're ready to build something incredible. Let's establish a repository and lay the foundation.", "github"],
+  ["Exciting times lie ahead. Let's create a repository and embark on our new project.", "github"],
+  ["Let's create a central hub for our project by establishing a repository.", "github"],
+  ["New project, new repo!", "github"],
+  ["Repository for our project!", "github"],
+  ["Let's start with a repo!", "github"],
+  ["Creating a project repo.", "github"],
+  ["Repo time for our project!", "github"],
+  ["New project, new repository!", "github"],
+  ["Let's begin with a repo.", "github"],
+  ["Creating project repository.", "github"],
+  ["Starting project with a repo.", "github"],
+  ["Repo up for the project!", "github"],
+  ["New project needs a repo.", "github"],
+  ["Initiating project repo.", "github"],
+  ["Let's repo our project.", "github"],
+  ["Project kickoff: repo!", "github"],
+  ["Creating a fresh repo.", "github"],
+  ["Repo time for our idea!", "github"],
+  ["New project, new repo.", "github"],
+  ["Establishing project repository.", "github"],
+  ["Repo for our new project.", "github"],
+  ["Starting with a project repo.", "github"],
+  ["Repo setup for the project.", "github"],
+  ["New project begins: repo!", "github"],
+  ["Creating a repository for the project.", "github"],
+  ["Let's repo and get started!", "github"],
+  ["Project kickoff: repository!", "github"],
+  ["Setting up a fresh repository.", "github"],
+  ["Repo time for our venture!", "github"],
+  ["New project, new repository.", "github"],
+  ["Initiating the project repo.", "github"],
+  ["Let's repo our exciting project.", "github"],
+  ["Create a repo!", "github"],
+  ["Create project repo.", "github"],
+  ["Start new project. Open repo.", "github"],
+  ["Initiate project: create repo.", "github"],
+  ["Set up repo for project.", "github"],
+  ["Create new project repo.", "github"],
+  ["Open repository for project.", "github"],
+  ["Start project: new repo.", "github"],
+  ["Create repo. Begin project.", "github"],
+  ["Initiate project with repo.", "github"],
+  ["Set up project repo.", "github"],
+  ["Create repo for new project.", "github"],
+  ["Open new project repository.", "github"],
+  ["Start project. Create repo.", "github"],
+  ["Create project repository.", "github"],
+  ["Open repo. Start project.", "github"],
+  ["Initiate repo for project.", "github"],
+  ["Set up new project repo.", "github"],
+  ["Create repo. Launch project.", "github"],
+  ["Initiate project. Open repo.", "github"],
+  ["Create repo. Start project.", "github"],
+  ["Open project repository.", "github"],
+  ["Start new project. Set up repo.", "github"],
+  ["Create project's repo.", "github"],
+  ["Open repository. Begin project.", "github"],
+  ["Initiate repo. Start project.", "github"],
+  ["Set up project's repo.", "github"],
+  ["Create new repo. Begin project.", "github"],
+  ["Open project's repository.", "github"],
+  ["Start project. Establish repo.", "github"],
+  ["Create repo. Get project going.", "github"],
+  ["Initiate project. Set up repo.", "github"]
+]

modules/train_command_detection.ipynb

@@ -0,0 +1 @@
+{"cells":[{"cell_type":"code","execution_count":1,"metadata":{"executionInfo":{"elapsed":1223,"status":"ok","timestamp":1682264035599,"user":{"displayName":"JAIME VILLA PLAZA","userId":"16556643678799076434"},"user_tz":-120},"id":"GqjpNTL0lXw3"},"outputs":[{"name":"stdout","output_type":"stream","text":["757\n"]}],"source":["from dataset import GOOGLE, GOODBYE, CHAT, VISION, GITHUB\n","data = GOOGLE + GOODBYE + CHAT + VISION + GITHUB\n","\n","print(len(data))\n","    \n"]},{"cell_type":"code","execution_count":5,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Requirement already satisfied: transformers[torch] in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (4.30.2)\n","Requirement already satisfied: filelock in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (3.12.2)\n","Requirement already satisfied: huggingface-hub<1.0,>=0.14.1 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (0.15.1)\n","Requirement already satisfied: numpy>=1.17 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (1.23.5)\n","Requirement already satisfied: packaging>=20.0 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (23.1)\n","Requirement already satisfied: pyyaml>=5.1 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (6.0)\n","Requirement already satisfied: regex!=2019.12.17 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (2023.6.3)\n","Requirement already satisfied: requests in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (2.31.0)\n","Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (0.13.3)\n","Requirement already satisfied: safetensors>=0.3.1 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (0.3.1)\n","Requirement already satisfied: tqdm>=4.27 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (4.65.0)\n","Requirement already satisfied: torch!=1.12.0,>=1.9 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (2.0.1)\n","Requirement already satisfied: accelerate>=0.20.2 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from transformers[torch]) (0.20.3)\n","Requirement already satisfied: psutil in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from accelerate>=0.20.2->transformers[torch]) (5.9.0)\n","Requirement already satisfied: fsspec in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from huggingface-hub<1.0,>=0.14.1->transformers[torch]) (2023.6.0)\n","Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from huggingface-hub<1.0,>=0.14.1->transformers[torch]) (4.7.1)\n","Requirement already satisfied: sympy in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from torch!=1.12.0,>=1.9->transformers[torch]) (1.12)\n","Requirement already satisfied: networkx in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from torch!=1.12.0,>=1.9->transformers[torch]) (3.1)\n","Requirement already satisfied: jinja2 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from torch!=1.12.0,>=1.9->transformers[torch]) (3.1.2)\n","Requirement already satisfied: colorama in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from tqdm>=4.27->transformers[torch]) (0.4.6)\n","Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from requests->transformers[torch]) (3.1.0)\n","Requirement already satisfied: idna<4,>=2.5 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from requests->transformers[torch]) (3.4)\n","Requirement already satisfied: urllib3<3,>=1.21.1 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from requests->transformers[torch]) (1.26.16)\n","Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from requests->transformers[torch]) (2023.5.7)\n","Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from jinja2->torch!=1.12.0,>=1.9->transformers[torch]) (2.1.3)\n","Requirement already satisfied: mpmath>=0.19 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from sympy->torch!=1.12.0,>=1.9->transformers[torch]) (1.3.0)\n","Note: you may need to restart the kernel to use updated packages.\n","Requirement already satisfied: accelerate in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (0.20.3)\n","Requirement already satisfied: numpy>=1.17 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from accelerate) (1.23.5)\n","Requirement already satisfied: packaging>=20.0 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from accelerate) (23.1)\n","Requirement already satisfied: psutil in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from accelerate) (5.9.0)\n","Requirement already satisfied: pyyaml in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from accelerate) (6.0)\n","Requirement already satisfied: torch>=1.6.0 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from accelerate) (2.0.1)\n","Requirement already satisfied: filelock in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from torch>=1.6.0->accelerate) (3.12.2)\n","Requirement already satisfied: typing-extensions in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from torch>=1.6.0->accelerate) (4.7.1)\n","Requirement already satisfied: sympy in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from torch>=1.6.0->accelerate) (1.12)\n","Requirement already satisfied: networkx in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from torch>=1.6.0->accelerate) (3.1)\n","Requirement already satisfied: jinja2 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from torch>=1.6.0->accelerate) (3.1.2)\n","Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from jinja2->torch>=1.6.0->accelerate) (2.1.3)\n","Requirement already satisfied: mpmath>=0.19 in c:\\users\\s9053161\\documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages (from sympy->torch>=1.6.0->accelerate) (1.3.0)\n","Note: you may need to restart the kernel to use updated packages.\n"]}],"source":["%pip install transformers[torch]\n","%pip install accelerate -U"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":573},"executionInfo":{"elapsed":126030,"status":"ok","timestamp":1682264960652,"user":{"displayName":"JAIME VILLA PLAZA","userId":"16556643678799076434"},"user_tz":-120},"id":"VblJOqkFoJHe","outputId":"b3c1f423-6624-4b14-dadf-68c7adec20cb"},"outputs":[{"name":"stderr","output_type":"stream","text":["c:\\Users\\S9053161\\Documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n","  from .autonotebook import tqdm as notebook_tqdm\n","Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertForSequenceClassification: ['cls.predictions.transform.dense.weight', 'cls.predictions.transform.LayerNorm.weight', 'cls.seq_relationship.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.LayerNorm.bias', 'cls.predictions.bias', 'cls.seq_relationship.weight']\n","- This IS expected if you are initializing BertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n","- This IS NOT expected if you are initializing BertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n","Some weights of BertForSequenceClassification were not initialized from the model checkpoint at bert-base-uncased and are newly initialized: ['classifier.weight', 'classifier.bias']\n","You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n","c:\\Users\\S9053161\\Documents\\projects\\gpt-voice-assistant\\.conda\\lib\\site-packages\\transformers\\optimization.py:411: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n","  warnings.warn(\n","                                                \n"," 10%|█         | 76/760 [04:08<33:53,  2.97s/it]"]},{"name":"stdout","output_type":"stream","text":["{'eval_loss': 0.030141128227114677, 'eval_runtime': 10.8983, 'eval_samples_per_second': 13.947, 'eval_steps_per_second': 1.743, 'epoch': 1.0}\n"]},{"name":"stderr","output_type":"stream","text":["                                                  \n"," 20%|██        | 152/760 [08:26<31:02,  3.06s/it]"]},{"name":"stdout","output_type":"stream","text":["{'eval_loss': 0.008563311770558357, 'eval_runtime': 12.2288, 'eval_samples_per_second': 12.43, 'eval_steps_per_second': 1.554, 'epoch': 2.0}\n"]},{"name":"stderr","output_type":"stream","text":["                                                   \n"," 30%|███       | 228/760 [12:35<27:06,  3.06s/it]"]},{"name":"stdout","output_type":"stream","text":["{'eval_loss': 0.04210153967142105, 'eval_runtime': 12.9654, 'eval_samples_per_second': 11.724, 'eval_steps_per_second': 1.465, 'epoch': 3.0}\n"]},{"name":"stderr","output_type":"stream","text":["                                                   \n"," 40%|████      | 304/760 [16:51<23:59,  3.16s/it]"]},{"name":"stdout","output_type":"stream","text":["{'eval_loss': 0.016036802902817726, 'eval_runtime': 10.8075, 'eval_samples_per_second': 14.064, 'eval_steps_per_second': 1.758, 'epoch': 4.0}\n"]},{"name":"stderr","output_type":"stream","text":["                                                 \n"," 50%|█████     | 380/760 [20:47<17:27,  2.76s/it]"]},{"name":"stdout","output_type":"stream","text":["{'eval_loss': 0.01568855531513691, 'eval_runtime': 10.5235, 'eval_samples_per_second': 14.444, 'eval_steps_per_second': 1.805, 'epoch': 5.0}\n"]},{"name":"stderr","output_type":"stream","text":["                                                 \n"," 60%|██████    | 456/760 [25:03<13:46,  2.72s/it]"]},{"name":"stdout","output_type":"stream","text":["{'eval_loss': 0.0158185176551342, 'eval_runtime': 10.4724, 'eval_samples_per_second': 14.514, 'eval_steps_per_second': 1.814, 'epoch': 6.0}\n"]},{"name":"stderr","output_type":"stream","text":[" 66%|██████▌   | 500/760 [27:32<15:42,  3.63s/it]"]},{"name":"stdout","output_type":"stream","text":["{'loss': 0.0954, 'learning_rate': 1.7105263157894737e-05, 'epoch': 6.58}\n"]},{"name":"stderr","output_type":"stream","text":["                                                 \n"," 70%|███████   | 532/760 [29:25<11:00,  2.90s/it]"]},{"name":"stdout","output_type":"stream","text":["{'eval_loss': 0.01628260686993599, 'eval_runtime': 10.8747, 'eval_samples_per_second': 13.977, 'eval_steps_per_second': 1.747, 'epoch': 7.0}\n"]},{"name":"stderr","output_type":"stream","text":["                                                 \n"," 80%|████████  | 608/760 [33:35<07:13,  2.85s/it]"]},{"name":"stdout","output_type":"stream","text":["{'eval_loss': 0.016459450125694275, 'eval_runtime': 12.6362, 'eval_samples_per_second': 12.029, 'eval_steps_per_second': 1.504, 'epoch': 8.0}\n"]},{"name":"stderr","output_type":"stream","text":["                                                 \n"," 90%|█████████ | 684/760 [38:00<03:55,  3.09s/it]"]},{"name":"stdout","output_type":"stream","text":["{'eval_loss': 0.01655273139476776, 'eval_runtime': 11.1512, 'eval_samples_per_second': 13.631, 'eval_steps_per_second': 1.704, 'epoch': 9.0}\n"]},{"name":"stderr","output_type":"stream","text":["                                                 \n","100%|██████████| 760/760 [42:00<00:00,  2.67s/it]"]},{"name":"stdout","output_type":"stream","text":["{'eval_loss': 0.016479341313242912, 'eval_runtime': 10.1493, 'eval_samples_per_second': 14.976, 'eval_steps_per_second': 1.872, 'epoch': 10.0}\n"]},{"name":"stderr","output_type":"stream","text":["100%|██████████| 760/760 [42:01<00:00,  3.32s/it]"]},{"name":"stdout","output_type":"stream","text":["{'train_runtime': 2521.8708, 'train_samples_per_second': 2.399, 'train_steps_per_second': 0.301, 'train_loss': 0.06297851167619228, 'epoch': 10.0}\n"]},{"name":"stderr","output_type":"stream","text":["\n"]},{"data":{"text/plain":["TrainOutput(global_step=760, training_loss=0.06297851167619228, metrics={'train_runtime': 2521.8708, 'train_samples_per_second': 2.399, 'train_steps_per_second': 0.301, 'train_loss': 0.06297851167619228, 'epoch': 10.0})"]},"execution_count":2,"metadata":{},"output_type":"execute_result"}],"source":["import torch\n","from torch.utils.data import Dataset\n","from transformers import AutoTokenizer, AutoModelForSequenceClassification, TrainingArguments, Trainer\n","from sklearn.model_selection import train_test_split\n","\n","class CustomDataset(Dataset):\n","    def __init__(self, encodings, labels):\n","        self.encodings = encodings\n","        self.labels = labels\n","\n","    def __getitem__(self, idx):\n","        item = {key: torch.tensor(val[idx]) for key, val in self.encodings.items()}\n","        item['labels'] = torch.tensor(self.labels[idx])\n","        return item\n","\n","    def __len__(self):\n","        return len(self.labels)\n","\n","# Load the tokenizer and the model\n","tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')\n","model = AutoModelForSequenceClassification.from_pretrained('bert-base-uncased', num_labels=5)\n","\n","# Prepare the dataset\n","texts = [item[0] for item in data]\n","labels = [item[1] for item in data]\n","label_map = {'vision': 0, 'chat': 1, 'goodbye': 2, 'google': 3, 'github': 4}\n","labels = [label_map[label] for label in labels]\n","\n","# Split the dataset into training and validation sets\n","train_texts, val_texts, train_labels, val_labels = train_test_split(texts, labels, test_size=0.2, random_state=42)\n","\n","# Tokenize the text\n","train_encodings = tokenizer(train_texts, truncation=True, padding=True)\n","val_encodings = tokenizer(val_texts, truncation=True, padding=True)\n","\n","# Create the custom dataset\n","train_dataset = CustomDataset(train_encodings, train_labels)\n","val_dataset = CustomDataset(val_encodings, val_labels)\n","\n","# Create the Trainer\n","training_args = TrainingArguments(\n","    output_dir='../models',\n","    num_train_epochs=10,\n","    per_device_train_batch_size=8,\n","    per_device_eval_batch_size=8,\n","    logging_dir='./logs',\n","    learning_rate=5e-5,\n","    save_total_limit=1,\n","    evaluation_strategy=\"epoch\",\n","    save_strategy=\"epoch\",  # Save a checkpoint at the end of each epoch\n",")\n","\n","\n","trainer = Trainer(\n","    model=model,\n","    args=training_args,\n","    train_dataset=train_dataset,\n","    eval_dataset=val_dataset,\n",")\n","\n","# Fine-tune the model\n","trainer.train()\n"]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5146,"status":"ok","timestamp":1682264988626,"user":{"displayName":"JAIME VILLA PLAZA","userId":"16556643678799076434"},"user_tz":-120},"id":"zsmKH6j0qvzJ","outputId":"ae99c575-a283-4b1f-8419-0a2c547203f2"},"outputs":[{"name":"stderr","output_type":"stream","text":["Xformers is not installed correctly. If you want to use memory_efficient_attention to accelerate training use the following command to install Xformers\n","pip install xformers.\n"]},{"name":"stdout","output_type":"stream","text":["Hello there! : chat\n","I'd like you to tell me about powerlifting : chat\n","Can you see me? : vision\n","What do you see in this image? : vision\n","See you tomorrow! : goodbye\n","Goodbye GPT : goodbye\n","What is a compiled programing language? : google\n","How many calories does Ultra White Monster Energy have? : google\n","Let's create a new project : github\n","I want to open a new repo : github\n"]}],"source":["from transformers import pipeline\n","\n","# Load the fine-tuned model\n","# model_path = '../models/cd_CKPT_V'\n","model_path = '../models\\checkpoint-760'\n","tokenizer = AutoTokenizer.from_pretrained('bert-base-uncased')\n","classifier = pipeline('text-classification', model=model_path, tokenizer=tokenizer)\n","\n","def command_filter(prompt):\n","    # Classify the input prompt\n","    result = classifier(prompt)\n","    command_id = int(result[0]['label'].split('_')[-1])\n","    command = {0: 'vision', 1: 'chat', 2: 'goodbye', 3: 'google', 4: 'github'}[command_id]\n","\n","    return command\n","    \n","# Example prompts\n","\n","prompts = [\"Hello there!\",\n","           \"I'd like you to tell me about powerlifting\",\n","           \"Can you see me?\",\n","           \"What do you see in this image?\",\n","           \"See you tomorrow!\",\n","           \"Goodbye GPT\",\n","           \"What is a compiled programing language?\",\n","           \"How many calories does Ultra White Monster Energy have?\",\n","           \"Let's create a new project\",\n","           \"I want to open a new repo\"]\n","\n","for prompt in prompts:\n","\n","\n","    print(f'{prompt} : {command_filter(prompt)}')\n"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"accelerator":"GPU","colab":{"authorship_tag":"ABX9TyMA1LT8Sj9ffscvm4bHdwRG","mount_file_id":"1tIekOnaB887ksJ8Tvr5AF9EbQSmgwHs2","provenance":[]},"gpuClass":"standard","kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.11"}},"nbformat":4,"nbformat_minor":0}

yolov8n.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:31e20dde3def09e2cf938c7be6fe23d9150bbbe503982af13345706515f2ef95
+size 6534387