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https://github.com/Mobile-Robotics-W20-Team-9/UMICH-NCLT-SLAP.git
synced 2025-09-08 04:03:14 +00:00
improved building intents to more acturately predict buildings and added confirmation before continuing navigation
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src/semantic/__pycache__/pickleManage.cpython-35.pyc
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src/semantic/__pycache__/pickleManage.cpython-35.pyc
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src/semantic/__pycache__/pickleManage.cpython-38.pyc
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src/semantic/__pycache__/pickleManage.cpython-38.pyc
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@@ -1,6 +1,6 @@
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{"intents": [
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{"tag": "Bob and Betty Beyster",
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"patterns": ["BBB", "CSE", "CS","Computer Science", "Bob", "Bob and Betty Beyster", "Betty"],
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"patterns": ["BBB", "CSE", "CS","Computer Science", "Computer", "Bob", "Bob and Betty Beyster", "Betty"],
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"responses": ["Bob and Betty Beyster"],
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"context": [""]
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},
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@@ -15,7 +15,7 @@
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"context": [""]
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},
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{"tag": "Electrical and Computer Engineering",
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"patterns": ["Electrical and Computer Engineering","Electrical", "Electrical Engineering", "Computer Engineering", "Computer", "EECS", "ECE"],
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"patterns": ["Electrical and Computer Engineering","Electrical", "Electrical Engineering", "Computer Engineering", "EECS", "ECE"],
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"responses": ["Electrical and Computer Engineering"],
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"context": [""]
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},
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@@ -18,6 +18,7 @@ classes = pickle.load(open('classes.pkl','rb'))
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buildingsIntents = json.loads(open('buildingIntents.json').read())
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building_words = pickle.load(open('building_words.pkl','rb'))
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buildings = pickle.load(open('buildings.pkl','rb'))
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confirmation = 0
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def clean_up_sentence(sentence):
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# tokenize the pattern - splitting words into array
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@@ -115,7 +116,15 @@ def send():
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ChatBox.config(foreground="#446665", font=("Verdana", 12 ))
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ints = predict_class(msg)
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if ints[0]['intent'] == "navigation":
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global confirmation
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if (ints[0]['intent'] == "yes" or ints[0]['intent'] == "no") and confirmation == 1:
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if ints[0]['intent'] == "yes":
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res = "Starting navigation"
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elif ints[0]['intent'] == "no":
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res = "Cancelled operation"
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confirmation = 0
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#TODO: START CONVERSION TO GPS COORDINATES
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elif ints[0]['intent'] == "navigation":
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currbuilding = getBuildingInfo(msgClean)
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if currbuilding[0] == 'random location':
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currbuilding[0] = buildings[random.randint(0, len(buildings)-1)]
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@@ -127,11 +136,11 @@ def send():
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currbuilding[1] = buildings[random.randint(0, len(buildings)-1)]
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fromBuild = predict_building(currbuilding[0])
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toBuild = predict_building(currbuilding[1])
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res = "Now navigating to " + toBuild[0]['buildingIntents'] + " from " + fromBuild[0]['buildingIntents']
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#TODO: START CONVERSION TO GPS COORDINATES
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res = "You chose navigating to " + toBuild[0]['buildingIntents'] + " from " + fromBuild[0]['buildingIntents'] + ". Is this correct?"
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confirmation = 1
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elif ints[0]['intent'] == "exit":
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res = getResponse(ints, intents)
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#TODO: STOP EVERYTHING
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#TODO: OPTIONAL STOP EVERYTHING
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else:
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res = getResponse(ints, intents)
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ChatBox.insert(END, "Belatrix: " + res + '\n\n')
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@@ -25,14 +25,24 @@
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"context": [""]
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},
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{"tag": "navigation",
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"patterns": ["Can you take me to the ", "Open adverse drugs module", "Give me a list of drugs causing adverse behavior", "List all drugs suitable for patient with adverse reaction", "Which drugs dont have adverse reaction?" ],
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"responses": ["Navigating to Adverse drug reaction module"],
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"patterns": ["Can you take me to the ", "Take me to the building", "Map me to the location", "Navigate me to the building from the building"],
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"responses": ["Starting Navigation"],
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"context": ["navigation_to_building"]
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},
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{"tag": "exit",
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"patterns": ["stop", "quit", "end", "I want to stop navigation"],
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"responses": ["Ending current navigation"],
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"context": ["navigation_to_building"]
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},
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{"tag": "yes",
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"patterns": ["yes", "y", "sure", "right", "correct"],
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"responses": ["I am sorry. I don't understand"],
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"context": ["navigation_to_building"]
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},
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{"tag": "no",
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"patterns": ["no", "nope", "n", "wrong", "incorrect"],
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"responses": ["I am sorry. I don't understand"],
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"context": ["navigation_to_building"]
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}
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]
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}
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