Clearing Local Storage

Author: shsarv

Medical Chatbot [END 2 END] [NLP]/LICENSE

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+MIT License
+
+Copyright (c) 2021 Maja Benkus
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

Medical Chatbot [END 2 END] [NLP]/Meddy.ipynb

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+# MEDICAL CHATBOT
+
+
+## Requirements
+
+Python 3.5 or newer.
+
+Dependencies:
+
+- Flask
+- PyTorch
+- NLTK
+- NumPy
+- Scikit-learn
+- Pandas
+- matplotlib
+
+## Install requirements
+
+Before running the application you need to install the dependencies. We recommend to use the virtual environment
+[virtualenv](https://pypi.org/project/virtualenv/) for this.
+
+Linux:
+
+```
+python3 -m venv venv
+venv/bin/activate
+pip install flask torch nltk numpy sklearn pandas matplotlib
+```
+Windows:
+
+```
+py -3 -m venv venv
+venv\Scripts\activate
+pip install flask torch nltk numpy==1.19.3 sklearn pandas matplotlib
+```
+
+
+
+In order for _nltk_ tokenization to work, the _'punkt'_ package must be downloaded. To do this, simply enter the Python shell and run the following:
+
+```python
+import nltk
+nltk.download('punkt')
+```
+
+This will install all the required dependencies needed to run the application successfully.
+
+## Run
+
+To run MedicalChatbot, `cd` into MedicalChatbot repo on your computer and run `python -m flask run`. This will run the Flask 
+server in development mode on localhost, port 5000.
+
+`* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)`

Medical Chatbot [END 2 END] [NLP]/README.md

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+import json
+import torch
+import nltk
+import pickle
+import random
+from datetime import datetime
+import numpy as np
+import pandas as pd
+
+from nnet import NeuralNet
+from nltk_utils import bag_of_words
+from flask import Flask, render_template, url_for, request, jsonify
+
+random.seed(datetime.now())
+
+device = torch.device('cpu')
+FILE = "models/data.pth"
+model_data = torch.load(FILE)
+
+input_size = model_data['input_size']
+hidden_size = model_data['hidden_size']
+output_size = model_data['output_size']
+all_words = model_data['all_words']
+tags = model_data['tags']
+model_state = model_data['model_state']
+
+nlp_model = NeuralNet(input_size, hidden_size, output_size).to(device)
+nlp_model.load_state_dict(model_state)
+nlp_model.eval()
+
+diseases_description = pd.read_csv("data/symptom_Description.csv")
+diseases_description['Disease'] = diseases_description['Disease'].apply(lambda x: x.lower().strip(" "))
+
+disease_precaution = pd.read_csv("data/symptom_precaution.csv")
+disease_precaution['Disease'] = disease_precaution['Disease'].apply(lambda x: x.lower().strip(" "))
+
+symptom_severity = pd.read_csv("data/Symptom-severity.csv")
+symptom_severity = symptom_severity.applymap(lambda s: s.lower().strip(" ").replace(" ", "") if type(s) == str else s)
+
+
+with open('data/list_of_symptoms.pickle', 'rb') as data_file:
+    symptoms_list = pickle.load(data_file)
+
+with open('models/fitted_model.pickle', 'rb') as modelFile:
+    prediction_model = pickle.load(modelFile)
+
+user_symptoms = set()
+
+app = Flask(__name__)
+
+def get_symptom(sentence):
+    sentence = nltk.word_tokenize(sentence)
+    X = bag_of_words(sentence, all_words)
+    X = X.reshape(1, X.shape[0])
+    X = torch.from_numpy(X)
+
+    output = nlp_model(X)
+    _, predicted = torch.max(output, dim=1)
+    tag = tags[predicted.item()]
+
+    probs = torch.softmax(output, dim=1)
+    prob = probs[0][predicted.item()]
+    prob = prob.item()
+
+    return tag, prob
+
+@app.route('/')
+def index():
+    data = []
+    user_symptoms.clear()
+    file = open("static/assets/files/ds_symptoms.txt", "r")
+    all_symptoms = file.readlines()
+    for s in all_symptoms:
+        data.append(s.replace("'", "").replace("_", " ").replace(",\n", ""))
+    data = json.dumps(data)
+
+    return render_template('index.html', data=data)
+
+
+@app.route('/symptom', methods=['GET', 'POST'])
+def predict_symptom():
+    print("Request json:", request.json)
+    sentence = request.json['sentence']
+    if sentence.replace(".", "").replace("!","").lower().strip() == "done":
+
+        if not user_symptoms:
+            response_sentence = random.choice(
+                ["I can't know what disease you may have if you don't enter any symptoms :)",
+                "Meddy can't know the disease if there are no symptoms...",
+                "You first have to enter some symptoms!"])
+        else:
+            x_test = []
+            
+            for each in symptoms_list: 
+                if each in user_symptoms:
+                    x_test.append(1)
+                else: 
+                    x_test.append(0)
+
+            x_test = np.asarray(x_test)            
+            disease = prediction_model.predict(x_test.reshape(1,-1))[0]
+            print(disease)
+
+            description = diseases_description.loc[diseases_description['Disease'] == disease.strip(" ").lower(), 'Description'].iloc[0]
+            precaution = disease_precaution[disease_precaution['Disease'] == disease.strip(" ").lower()]
+            precautions = 'Precautions: ' + precaution.Precaution_1.iloc[0] + ", " + precaution.Precaution_2.iloc[0] + ", " + precaution.Precaution_3.iloc[0] + ", " + precaution.Precaution_4.iloc[0]
+            response_sentence = "It looks to me like you have " + disease + ". <br><br> <i>Description: " + description + "</i>" + "<br><br><b>"+ precautions + "</b>"
+            
+            severity = []
+
+            for each in user_symptoms: 
+                severity.append(symptom_severity.loc[symptom_severity['Symptom'] == each.lower().strip(" ").replace(" ", ""), 'weight'].iloc[0])
+                
+            if np.mean(severity) > 4 or np.max(severity) > 5:
+                response_sentence = response_sentence + "<br><br>Considering your symptoms are severe, and Meddy isn't a real doctor, you should consider talking to one. :)"
+
+            user_symptoms.clear()
+            severity.clear()
+ 
+    else:
+        symptom, prob = get_symptom(sentence)
+        print("Symptom:", symptom, ", prob:", prob)
+        if prob > .5:
+            response_sentence = f"Hmm, I'm {(prob * 100):.2f}% sure this is " + symptom + "."
+            user_symptoms.add(symptom)
+        else:
+            response_sentence = "I'm sorry, but I don't understand you."
+
+        print("User symptoms:", user_symptoms)
+
+    return jsonify(response_sentence.replace("_", " "))

Medical Chatbot [END 2 END] [NLP]/__pycache__/app.cpython-37.pyc

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+Symptom,weight
+itching,1
+skin_rash,3
+nodal_skin_eruptions,4
+continuous_sneezing,4
+shivering,5
+chills,3
+joint_pain,3
+stomach_pain,5
+acidity,3
+ulcers_on_tongue,4
+muscle_wasting,3
+vomiting,5
+burning_micturition,6
+spotting_urination,6
+fatigue,4
+weight_gain,3
+anxiety,4
+cold_hands_and_feets,5
+mood_swings,3
+weight_loss,3
+restlessness,5
+lethargy,2
+patches_in_throat,6
+irregular_sugar_level,5
+cough,4
+high_fever,7
+sunken_eyes,3
+breathlessness,4
+sweating,3
+dehydration,4
+indigestion,5
+headache,3
+yellowish_skin,3
+dark_urine,4
+nausea,5
+loss_of_appetite,4
+pain_behind_the_eyes,4
+back_pain,3
+constipation,4
+abdominal_pain,4
+diarrhoea,6
+mild_fever,5
+yellow_urine,4
+yellowing_of_eyes,4
+acute_liver_failure,6
+fluid_overload,6
+swelling_of_stomach,7
+swelled_lymph_nodes,6
+malaise,6
+blurred_and_distorted_vision,5
+phlegm,5
+throat_irritation,4
+redness_of_eyes,5
+sinus_pressure,4
+runny_nose,5
+congestion,5
+chest_pain,7
+weakness_in_limbs,7
+fast_heart_rate,5
+pain_during_bowel_movements,5
+pain_in_anal_region,6
+bloody_stool,5
+irritation_in_anus,6
+neck_pain,5
+dizziness,4
+cramps,4
+bruising,4
+obesity,4
+swollen_legs,5
+swollen_blood_vessels,5
+puffy_face_and_eyes,5
+enlarged_thyroid,6
+brittle_nails,5
+swollen_extremeties,5
+excessive_hunger,4
+extra_marital_contacts,5
+drying_and_tingling_lips,4
+slurred_speech,4
+knee_pain,3
+hip_joint_pain,2
+muscle_weakness,2
+stiff_neck,4
+swelling_joints,5
+movement_stiffness,5
+spinning_movements,6
+loss_of_balance,4
+unsteadiness,4
+weakness_of_one_body_side,4
+loss_of_smell,3
+bladder_discomfort,4
+foul_smell_ofurine,5
+continuous_feel_of_urine,6
+passage_of_gases,5
+internal_itching,4
+toxic_look_(typhos),5
+depression,3
+irritability,2
+muscle_pain,2
+altered_sensorium,2
+red_spots_over_body,3
+belly_pain,4
+abnormal_menstruation,6
+dischromic_patches,6
+watering_from_eyes,4
+increased_appetite,5
+polyuria,4
+family_history,5
+mucoid_sputum,4
+rusty_sputum,4
+lack_of_concentration,3
+visual_disturbances,3
+receiving_blood_transfusion,5
+receiving_unsterile_injections,2
+coma,7
+stomach_bleeding,6
+distention_of_abdomen,4
+history_of_alcohol_consumption,5
+fluid_overload,4
+blood_in_sputum,5
+prominent_veins_on_calf,6
+palpitations,4
+painful_walking,2
+pus_filled_pimples,2
+blackheads,2
+scurring,2
+skin_peeling,3
+silver_like_dusting,2
+small_dents_in_nails,2
+inflammatory_nails,2
+blister,4
+red_sore_around_nose,2
+yellow_crust_ooze,3
+prognosis,5