app.py

import gradio as gr
from functools import partial

import csv
import pandas as pd
import ast
from datasets import load_dataset
from huggingface_hub import HfApi, HfFolder



data = pd.read_csv("./KB_gpt_v1.csv",index_col=0)

all_diseases = list(data['diseases'])

js = "(x) => {return alert('File Saved!!')}"

logged_in_users = {}
def login(username, password):
    if (username, password) in [("admin", "pass1234"), ("admin2", "pass1234")]:
        logged_in_users[username] = True
        print(logged_in_users)
        return True
    else:
        return False

def get_symp(symptoms,investigations,drugs,advices,contraindications):
    all_drugs = []
    all_contras = []
    drug_dict = eval(drugs)
    contra_dict = eval(contraindications)
    for cat,med in drug_dict.items():
        for i in med:
            all_drugs.append(i)
            
    for dru,con in contra_dict.items():
        for i in con:
            lol = ""
            for ikey,ival in i.items():
                lol+=ival+":"
            all_contras.append(lol[:-1])
    print(all_contras)
#     print(all)
    return (gr.update(choices=eval(symptoms),visible=True,interactive=True)),(gr.update(choices=eval(investigations),visible=True,interactive=True)),(gr.update(choices=all_drugs,visible=True,interactive=True)),(gr.update(choices=eval(advices),visible=True,interactive=True)),(gr.update(choices=all_contras,visible=True,interactive=True))


def get_list(disease):
    print(disease)
    sympto = eval((data[data['diseases']==str(disease)]['symptoms']).iloc[0])
    investigations = eval((data[data['diseases']==str(disease)]['investigations']).iloc[0])
    drugs = eval((data[data['diseases']==str(disease)]["Drug type: Drugs"]).iloc[0])
    advices = eval((data[data['diseases']==str(disease)]["Advices"]).iloc[0])
    contras = eval((data[data['diseases']==str(disease)]["contraindications"]).iloc[0])
    return sympto,investigations,drugs,advices,contras
#------------------------------------------------
# api = HfApi()

# # Replace with your Hugging Face Spaces username and repository name
# username = "Add-Vishnu"
# repo_name = "cdss_kb_generation"

# # Replace with the CSV file name
filename = "demo1.csv"

# # Load the repository
# repo = HfFolder.(repo_name, api=api, username=username)
#---------------------------------------------------------
def get_original_format(drug_data,drug_dict,contra_data,contra_dict):
    # print("Drug_dict: ",drug_dict)
    # print("Drug_dict_type_before: ",type(drug_dict))
    # print("Drug_dict_type_after: ",type(drug_dict))
    drug_dict = eval(drug_dict)
    drug_keys = drug_dict.keys()
    # print("keys: ",drug_keys)
    
    user_drug_dict = {}
    for i in drug_data:
        for j in drug_keys:
            if i in drug_dict[j]:
                user_drug_dict.setdefault(j, []).append(i)
    
    contra_list = []
    for i in contra_data:
        contra = i.split(':')
        inner_dict = {}
        inner_dict['Contraindication'] = contra[0]
        inner_dict['Reason'] = contra[1]
        print(inner_dict)
        contra_list.append(inner_dict)
    
    user_contra_dict = {}
    contra_dict = eval(contra_dict)
    contra_keys = contra_dict.keys()
    for i in contra_list:
        for j in contra_keys:
            if i in contra_dict[j]:
                user_contra_dict.setdefault(j, []).append(i)
        
                
    return user_drug_dict,user_contra_dict





def save_data(disease,symp_data,invest_data,drug_data,advice_data,contra_data,drug_dict,contra_dict): 
    user = ""
    for username, logged_in in logged_in_users.items():
            if logged_in:
                user = username
    print(user)
    user_drug_dict,user_contra_dict = get_original_format(drug_data,drug_dict,contra_data,contra_dict)
    # ---------------------------------------------
    # Read the existing content of the CSV file
    # file_path = repo.filename_to_path(filename)
    existing_rows = []
    with open(filename, "r") as csv_file:
        print("Reading the data")
        csv_reader = csv.reader(csv_file)
        for row in csv_reader:
            existing_rows.append(row)
    print(existing_rows)
    # ----------------------------------------------
    try:
        print("In try")
        with open("./demo1.csv", mode="a") as csvfile:
            print("In open csv file",csvfile)
            csv_writer = csv.writer(csvfile)
            csv_writer.writerow([disease,symp_data,invest_data,user_drug_dict,advice_data,user_contra_dict,user])
            print("Done writing!!")        
    except:
        print("An Exception occured")



with gr.Blocks() as demo:
    with gr.Row():
        disease = gr.Dropdown(all_diseases,label="Diseases")
    with gr.Row():
        fetch = gr.Button(value="Fetch")
    symptoms=gr.Textbox(visible=False)
    investigations = gr.Textbox(visible=False)
    drugs = gr.Textbox(visible=False)
    advices = gr.Textbox(visible=False)
    contraindications = gr.Textbox(visible=False)
    disease.change(get_list,disease,[symptoms,investigations,drugs,advices,contraindications]) 
    with gr.Box():
        symptoms_box = gr.CheckboxGroup(label="Symptoms",visible=False)
        investigations_box = gr.CheckboxGroup(label="Investigations",visible=False)
#         drugs_box =  gr.Box(visible=False)
        drugs_box = gr.CheckboxGroup(label="Drugs",visible=False)
        advices_box = gr.CheckboxGroup(label="Advices",visible=False)
        contra_box = gr.CheckboxGroup(label="Contraindications",visible=False)
        save = gr.Button(value="Save")
    
    fetch.click(get_symp, inputs=[symptoms,investigations,drugs,advices,contraindications],outputs=[symptoms_box,investigations_box,drugs_box,advices_box,contra_box])
    save.click(save_data,inputs=[disease,symptoms_box,investigations_box,drugs_box,advices_box,contra_box,drugs,contraindications],outputs=[]).then(fn=None,_js=js)
if __name__ == "__main__":
    demo.launch(auth=login)