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added beginner project-LABBOT #563

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93 changes: 93 additions & 0 deletions Beginner_Projects/contents_lab.json
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Original file line number Diff line number Diff line change
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{
"components": [
{
"name": "resistor",
"values": [
{
"resistance": "10 ohms",
"availability": "Yes, this resistor is available in the lab.",
"count":20
},
{
"resistance": "100 ohms",
"availability": "Yes, this resistor is available in the lab."
}
]
},
{
"name": "inductor",
"values": [
{
"inductance": "100 microhenries",
"availability":"Yes,this inductor is available in the lab.",
"count":40
},
{
"inductance": "1 millihenry",
"availability": "No, this inductor is not available in the lab."
}
]
},
{
"name": "capacitor",
"values": [
{
"capacitance": "10 microfarads",
"availability": "Yes, this capacitor is available in the lab.",
"count":70
},
{
"capacitance": "100 microfarads",
"availability": "Yes, this capacitor is available in the lab."
}
]
},
{
"name": "transistor",
"values": [
{
"type": "npn",
"model": "2N2222",
"availability": "Yes, this transistor is available in the lab."
},
{
"type": "pnp",
"model": "2N2907",
"availability": "Yes, this transistor is available in the lab."
}
]
},
{
"name": "mosfet",
"values": [
{
"type": "n channel",
"model": "IRF540",
"availability": "Yes, this MOSFET is available in the lab."
},
{
"type": "p channel",
"model": "IRF9540",
"availability": "No, this MOSFET is not available in the lab."
}
]
},
{
"name": "ic",
"values": [
{
"type": "operational amplifier",
"model": "LM358",
"availability": "Yes, this IC is available in the lab."
},
{
"type": "555 timer",
"model": "LM555",
"availability": "Yes, this IC is available in the lab."
}
]
}
]
}
256 changes: 256 additions & 0 deletions Beginner_Projects/labbot.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Writing contents_lab.json\n"
]
}
],
"source": [
"%%writefile contents_lab.json\n",
"\n",
"\n",
"{\n",
" \"components\": [\n",
" {\n",
" \"name\": \"resistor\",\n",
" \"values\": [\n",
" {\n",
" \"resistance\": \"10 ohms\",\n",
" \"availability\": \"Yes, this resistor is available in the lab.\",\n",
" \"count\":20\n",
" },\n",
" {\n",
" \"resistance\": \"100 ohms\",\n",
" \"availability\": \"Yes, this resistor is available in the lab.\"\n",
" }\n",
" ]\n",
" },\n",
" {\n",
" \"name\": \"inductor\",\n",
" \"values\": [\n",
" {\n",
" \"inductance\": \"100 microhenries\",\n",
" \"availability\":\"Yes,this inductor is available in the lab.\",\n",
" \"count\":40\n",
" },\n",
" {\n",
" \"inductance\": \"1 millihenry\",\n",
" \"availability\": \"No, this inductor is not available in the lab.\"\n",
" }\n",
" ]\n",
" },\n",
" {\n",
" \"name\": \"capacitor\",\n",
" \"values\": [\n",
" {\n",
" \"capacitance\": \"10 microfarads\",\n",
" \"availability\": \"Yes, this capacitor is available in the lab.\",\n",
" \"count\":70\n",
" },\n",
" {\n",
" \"capacitance\": \"100 microfarads\",\n",
" \"availability\": \"Yes, this capacitor is available in the lab.\"\n",
" }\n",
" ]\n",
" },\n",
" {\n",
" \"name\": \"transistor\",\n",
" \"values\": [\n",
" {\n",
" \"type\": \"npn\",\n",
" \"model\": \"2N2222\",\n",
" \"availability\": \"Yes, this transistor is available in the lab.\"\n",
" },\n",
" {\n",
" \"type\": \"pnp\",\n",
" \"model\": \"2N2907\",\n",
" \"availability\": \"Yes, this transistor is available in the lab.\"\n",
" }\n",
" ]\n",
" },\n",
" {\n",
" \"name\": \"mosfet\",\n",
" \"values\": [\n",
" {\n",
" \"type\": \"n channel\",\n",
" \"model\": \"IRF540\",\n",
" \"availability\": \"Yes, this MOSFET is available in the lab.\"\n",
" },\n",
" {\n",
" \"type\": \"p channel\",\n",
" \"model\": \"IRF9540\",\n",
" \"availability\": \"No, this MOSFET is not available in the lab.\"\n",
" }\n",
" ]\n",
" },\n",
" {\n",
" \"name\": \"ic\",\n",
" \"values\": [\n",
" {\n",
" \"type\": \"operational amplifier\",\n",
" \"model\": \"LM358\",\n",
" \"availability\": \"Yes, this IC is available in the lab.\"\n",
" },\n",
" {\n",
" \"type\": \"555 timer\",\n",
" \"model\": \"LM555\",\n",
" \"availability\": \"Yes, this IC is available in the lab.\"\n",
" }\n",
" ]\n",
" }\n",
" ]\n",
"}\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import nltk\n",
"from nltk.tokenize import word_tokenize\n",
"from nltk.corpus import stopwords\n",
"import pyttsx3\n",
"import speech_recognition as sr\n",
"\n",
"#initialize text to speech\n",
"engine=pyttsx3.init()\n",
"\n",
"#initialize speech recognizer\n",
"recognizer=sr.Recognizer()\n",
"\n",
"#load components data from json\n",
"def load_components():\n",
" with open('contents_lab.json','r') as file:\n",
" data=json.load(file)\n",
" return data['components']\n",
"components=load_components()\n",
"\n",
"#func to preprocess the user's question\n",
"def preprocess_question(question):\n",
" stop_words=set(stopwords.words('english'))\n",
" tokens=word_tokenize(question.lower())\n",
" filtered_tokens=[word for word in tokens if word.isalnm() and word not in stop_words]\n",
" return'_'.join(filtered_tokens)\n",
"\n",
"#function to provide audio feedback\n",
"def provide_audio_feedback(text):\n",
" engine.say(text)\n",
" engine.runAndWait()\n",
"\n",
"#func to check availability of a specific component\n",
"def check_availability(component_name,attribute_name,attribute_value):\n",
" count=0\n",
" selected_component=next((comp for comp in components if comp['name'].lower()==component_name.lower()),None)\n",
" if not selected_component:\n",
" response=\"Component not found.Please enter a valid component name.\"\n",
" return response\n",
" \n",
" for value in selected_component['values']:\n",
" if value.get(attribute_name)==attribute_value:\n",
" count+=1\n",
"\n",
" if count>0:\n",
" return f\"There are{count}{attribute_value}{component_name} of {attribute_value} found in the lab.\"\n",
" else:\n",
" return f\"No {component_name} with {attribute_name} of {attribute_value} found in the lab.\"\n",
" \n",
"#func for user input from microphone\n",
"def get_speech_input(prompt):\n",
" with sr.Microphone() as source:\n",
" print(prompt)\n",
" provide_audio_feedback(prompt)\n",
" audio=recognizer.listen(source)\n",
" try:\n",
" text=recognizer.recognize_google(audio)\n",
" print(f\"You Said:{text}\")\n",
" return text\n",
" except sr.UnknownValueError:\n",
" print(\"Sorry, I did not understand that.\")\n",
" provide_audio_feedback(\"Sorry, I did not understand that.\")\n",
" return None\n",
" except sr.RequestError:\n",
" print(\"Sorry, there was an issue with the speech recognition service.\")\n",
" provide_audio_feedback(\"Sorry, there was an issue with the speech recognition service.\")\n",
" return None"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"\n",
"# Function for checking interaction\n",
"def simulate_component_check():\n",
" while True:\n",
" component_name = get_speech_input(\"Enter the component name or say 'exit' to quit:\")\n",
" if component_name and component_name.lower() in ['exit', 'quit', 'stop']:\n",
" provide_audio_feedback(\"Ending the component check.\")\n",
" print(\"Ending the component check.\")\n",
" break\n",
"\n",
" attribute_name = get_speech_input(\"Enter the attribute you want to check:\")\n",
" if not attribute_name:\n",
" continue\n",
"\n",
" attribute_value = get_speech_input(f\"Enter the value for {attribute_name}:\")\n",
" if not attribute_value:\n",
" continue\n",
"\n",
" response = check_availability(component_name, attribute_name, attribute_value)\n",
" print(response)\n",
" provide_audio_feedback(response)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Run the component check simulation\n",
"simulate_component_check()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"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": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}