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| # Import and class names setup | |
| import gradio as gr | |
| import os | |
| import torch | |
| import random | |
| import nltk_u | |
| import pandas as pd | |
| from sklearn.model_selection import train_test_split | |
| import time | |
| from model import RNN_model | |
| from timeit import default_timer as timer | |
| from typing import Tuple, Dict | |
| # Import data | |
| df= pd.read_csv('Symptom2Disease.csv') | |
| df.drop('Unnamed: 0', axis= 1, inplace= True) | |
| # Preprocess data | |
| df.drop_duplicates(inplace= True) | |
| train_data, test_data= train_test_split(df, test_size=0.15, random_state=42 ) | |
| # Setup class names | |
| class_names= {0: 'Acne', | |
| 1: 'Arthritis', | |
| 2: 'Bronchial Asthma', | |
| 3: 'Cervical spondylosis', | |
| 4: 'Chicken pox', | |
| 5: 'Common Cold', | |
| 6: 'Dengue', | |
| 7: 'Dimorphic Hemorrhoids', | |
| 8: 'Fungal infection', | |
| 9: 'Hypertension', | |
| 10: 'Impetigo', | |
| 11: 'Jaundice', | |
| 12: 'Malaria', | |
| 13: 'Migraine', | |
| 14: 'Pneumonia', | |
| 15: 'Psoriasis', | |
| 16: 'Typhoid', | |
| 17: 'Varicose Veins', | |
| 18: 'allergy', | |
| 19: 'diabetes', | |
| 20: 'drug reaction', | |
| 21: 'gastroesophageal reflux disease', | |
| 22: 'peptic ulcer disease', | |
| 23: 'urinary tract infection' | |
| } | |
| vectorizer= nltk_u.vectorizer() | |
| vectorizer.fit(train_data.text) | |
| # Model and transforms preparation | |
| model= RNN_model() | |
| # Load state dict | |
| model.load_state_dict(torch.load( | |
| f= 'pretrained_symtom_to_disease_model.pth', | |
| map_location= torch.device('cpu'))) | |
| # Disease Advice | |
| disease_advice = { | |
| 'Acne': "Maintain a proper skincare routine, avoid excessive touching of the affected areas, and consider using over-the-counter topical treatments. If severe, consult a dermatologist.", | |
| 'Arthritis': "Stay active with gentle exercises, manage weight, and consider pain-relief strategies like hot/cold therapy. Consult a rheumatologist for tailored guidance.", | |
| 'Bronchial Asthma': "Follow prescribed inhaler and medication regimen, avoid triggers like smoke and allergens, and have an asthma action plan. Regular check-ups with a pulmonologist are important.", | |
| 'Cervical spondylosis': "Maintain good posture, do neck exercises, and use ergonomic support. Physical therapy and pain management techniques might be helpful.", | |
| 'Chicken pox': "Rest, maintain hygiene, and avoid scratching. Consult a doctor for appropriate antiviral treatment.", | |
| 'Common Cold': "Get plenty of rest, stay hydrated, and consider over-the-counter remedies for symptom relief. Seek medical attention if symptoms worsen or last long.", | |
| 'Dengue': "Stay hydrated, rest, and manage fever with acetaminophen. Seek medical care promptly, as dengue can escalate quickly.", | |
| 'Dimorphic Hemorrhoids': "Follow a high-fiber diet, maintain good hygiene, and consider stool softeners. Consult a doctor if symptoms persist.", | |
| 'Fungal infection': "Keep the affected area clean and dry, use antifungal creams, and avoid sharing personal items. Consult a dermatologist if it persists.", | |
| 'Hypertension': "Follow a balanced diet, exercise regularly, reduce salt intake, and take prescribed medications. Regular check-ups with a healthcare provider are important.", | |
| 'Impetigo': "Keep the affected area clean, use prescribed antibiotics, and avoid close contact. Consult a doctor for proper treatment.", | |
| 'Jaundice': "Get plenty of rest, maintain hydration, and follow a doctor's advice for diet and medications. Regular monitoring is important.", | |
| 'Malaria': "Take prescribed antimalarial medications, rest, and manage fever. Seek medical attention for severe cases.", | |
| 'Migraine': "Identify triggers, manage stress, and consider pain-relief medications. Consult a neurologist for personalized management.", | |
| 'Pneumonia': "Follow prescribed antibiotics, rest, stay hydrated, and monitor symptoms. Seek immediate medical attention for severe cases.", | |
| 'Psoriasis': "Moisturize, use prescribed creams, and avoid triggers. Consult a dermatologist for effective management.", | |
| 'Typhoid': "Take prescribed antibiotics, rest, and stay hydrated. Dietary precautions are important. Consult a doctor for proper treatment.", | |
| 'Varicose Veins': "Elevate legs, exercise regularly, and wear compression stockings. Consult a vascular specialist for evaluation and treatment options.", | |
| 'allergy': "Identify triggers, manage exposure, and consider antihistamines. Consult an allergist for comprehensive management.", | |
| 'diabetes': "Follow a balanced diet, exercise, monitor blood sugar levels, and take prescribed medications. Regular visits to an endocrinologist are essential.", | |
| 'drug reaction': "Discontinue the suspected medication, seek medical attention if symptoms are severe, and inform healthcare providers about the reaction.", | |
| 'gastroesophageal reflux disease': "Follow dietary changes, avoid large meals, and consider medications. Consult a doctor for personalized management.", | |
| 'peptic ulcer disease': "Avoid spicy and acidic foods, take prescribed medications, and manage stress. Consult a gastroenterologist for guidance.", | |
| 'urinary tract infection': "Stay hydrated, take prescribed antibiotics, and maintain good hygiene. Consult a doctor for appropriate treatment." | |
| } | |
| howto= """Welcome to the <b>Medical Chatbot</b>, powered by Gradio. | |
| Currently, the chatbot can WELCOME YOU, PREDICT DISEASE based on your symptoms and SUGGEST POSSIBLE SOLUTIONS AND RECOMENDATIONS, and BID YOU FAREWELL. | |
| <b>How to Start:</b> Simply type your messages in the textbox to chat with the Chatbot and press enter!<br><br> | |
| The bot will respond based on the best possible answers to your messages. | |
| """ | |
| # Create the gradio demo | |
| with gr.Blocks(css = """#col_container { margin-left: auto; margin-right: auto;} #chatbot {height: 520px; overflow: auto;}""") as demo: | |
| gr.HTML('<h1 align="center">Medical Chatbot: ARIN 7102') | |
| #gr.HTML('<h3 align="center">To know more about this project') | |
| with gr.Accordion("Follow these Steps to use the Gradio WebUI", open=True): | |
| gr.HTML(howto) | |
| chatbot = gr.Chatbot() | |
| msg = gr.Textbox() | |
| clear = gr.ClearButton([msg, chatbot]) | |
| def respond(message, chat_history): | |
| # Random greetings in list format | |
| greetings = [ | |
| "hello!",'hello', 'hii !', 'hi', "hi there!", "hi there!", "heyy", 'good morning', 'good afternoon', 'good evening' | |
| "hey", "how are you", "how are you?", "how is it going", "how is it going?", | |
| "what's up?", "how are you?", | |
| "hey, how are you?", "what is popping" | |
| "good to see you!", "howdy!", | |
| "hi, nice to meet you.", "hiya!", | |
| "hi", "hi, what's new?", | |
| "hey, how's your day?", "hi, how have you been?", "greetings", | |
| ] | |
| # Random Greetings responses | |
| responses = [ | |
| "Thank you for using our medical chatbot. Please provide the symptoms you're experiencing, and I'll do my best to predict the possible disease.", | |
| "Hello! I'm here to help you with medical predictions based on your symptoms. Please describe your symptoms in as much detail as possible.", | |
| "Greetings! I am a specialized medical chatbot trained to predict potential diseases based on the symptoms you provide. Kindly list your symptoms explicitly.", | |
| "Welcome to the medical chatbot. To assist you accurately, please share your symptoms in explicit detail.", | |
| "Hi there! I'm a medical chatbot specialized in analyzing symptoms to suggest possible diseases. Please provide your symptoms explicitly.", | |
| "Hey! I'm your medical chatbot. Describe your symptoms with as much detail as you can, and I'll generate potential disease predictions.", | |
| "How can I assist you today? I'm a medical chatbot trained to predict diseases based on symptoms. Please be explicit while describing your symptoms.", | |
| "Hello! I'm a medical chatbot capable of predicting diseases based on the symptoms you provide. Your explicit symptom description will help me assist you better.", | |
| "Greetings! I'm here to help with medical predictions. Describe your symptoms explicitly, and I'll offer insights into potential diseases.", | |
| "Hi, I'm the medical chatbot. I've been trained to predict diseases from symptoms. The more explicit you are about your symptoms, the better I can assist you.", | |
| "Hi, I specialize in medical predictions based on symptoms. Kindly provide detailed symptoms for accurate disease predictions.", | |
| "Hello! I'm a medical chatbot with expertise in predicting diseases from symptoms. Please describe your symptoms explicitly to receive accurate insights.", | |
| ] | |
| # Random goodbyes | |
| goodbyes = [ | |
| "farewell!",'bye', 'goodbye','good-bye', 'good bye', 'bye', 'thank you', 'later', "take care!", | |
| "see you later!", 'see you', 'see ya', 'see-you', 'thanks', 'thank', 'bye bye', 'byebye' | |
| "catch you on the flip side!", "adios!", | |
| "goodbye for now!", "till we meet again!", | |
| "so long!", "hasta la vista!", | |
| "bye-bye!", "keep in touch!", | |
| "toodles!", "ciao!", | |
| "later, gator!", "stay safe and goodbye!", | |
| "peace out!", "until next time!", "off I go!", | |
| ] | |
| # Random Goodbyes responses | |
| goodbye_replies = [ | |
| "Take care of yourself! If you have more questions, don't hesitate to reach out.", | |
| "Stay well! Remember, I'm here if you need further medical advice.", | |
| "Goodbye for now! Don't hesitate to return if you need more information in the future.", | |
| "Wishing you good health ahead! Feel free to come back if you have more concerns.", | |
| "Farewell! If you have more symptoms or questions, don't hesitate to consult again.", | |
| "Take care and stay informed about your health. Feel free to chat anytime.", | |
| "Bye for now! Remember, your well-being is a priority. Don't hesitate to ask if needed.", | |
| "Have a great day ahead! If you need medical guidance later on, I'll be here.", | |
| "Stay well and take it easy! Reach out if you need more medical insights.", | |
| "Until next time! Prioritize your health and reach out if you need assistance.", | |
| "Goodbye! Your health matters. Feel free to return if you have more health-related queries.", | |
| "Stay healthy and stay curious about your health! If you need more info, just ask.", | |
| "Wishing you wellness on your journey! If you have more questions, I'm here to help.", | |
| "Take care and remember, your health is important. Don't hesitate to reach out if needed.", | |
| "Goodbye for now! Stay informed and feel free to consult if you require medical advice.", | |
| "Stay well and stay proactive about your health! If you have more queries, feel free to ask.", | |
| "Farewell! Remember, I'm here whenever you need reliable medical information.", | |
| "Bye for now! Stay vigilant about your health and don't hesitate to return if necessary.", | |
| "Take care and keep your well-being a priority! Reach out if you have more health questions.", | |
| "Wishing you good health ahead! Don't hesitate to chat if you need medical insights.", | |
| "Goodbye! Stay well and remember, I'm here to assist you with medical queries.", | |
| ] | |
| # Create couple of if-else statements to capture/mimick peoples's Interaction | |
| if message.lower() in greetings: | |
| bot_message= random.choice(responses) | |
| elif message.lower() in goodbyes: | |
| bot_message= random.choice(goodbye_replies) | |
| else: | |
| #bot_message= random.choice(goodbye_replies) | |
| transform_text= vectorizer.transform([message]) | |
| transform_text= torch.tensor(transform_text.toarray()).to(torch.float32) | |
| model.eval() | |
| with torch.inference_mode(): | |
| y_logits=model(transform_text) | |
| pred_prob= torch.argmax(torch.softmax(y_logits, dim=1), dim=1) | |
| test_pred= class_names[pred_prob.item()] | |
| bot_message = f' Based on your symptoms, I believe you are having {test_pred} and I would advice you {disease_advice[test_pred]}' | |
| chat_history.append((message, bot_message)) | |
| time.sleep(2) | |
| return "", chat_history | |
| msg.submit(respond, [msg, chatbot], [msg, chatbot]) | |
| # Launch the demo | |
| demo.launch() | |