updated data as per packages

README.md

@@ -10,26 +10,6 @@ An intelligent and responsible medical app.
 
 2. `pip install git+https://github.com/NLPatVCU/medaCy.git` and `pip install git+https://github.com/NLPatVCU/medaCy_model_clinical_notes.git` . This installs medaCy NER which is built upon Spacy.
 
-3. We use Microsoft Azure's Computer Vision API to extract text (both handwritten and typed). You will require a valid key which you can find in your Microsoft Azure Cognitive Services Account.
-
-4. Add the key in the file `backend/my_azure_api.py` by setting the value of the variable `_key`. 
-
-# Results 
-
-## Doctor Prescription Parser - 
-<img src="https://github.com/Snehal-Reddy/MedAI/blob/master/static/prescription.jpg" width="400" height="600"/>
-
-![alt_text](https://github.com/Snehal-Reddy/MedAI/blob/master/static/Screenshot%20from%202019-09-12%2022-52-18.png)
-
-## Interctive Symptom Checker -
-
-![alt_text](https://github.com/Snehal-Reddy/MedAI/blob/master/static/Screenshot%20from%202019-09-12%2022-23-24.png)
-![alt_text](https://github.com/Snehal-Reddy/MedAI/blob/master/static/Screenshot%20from%202019-09-12%2022-27-07.png)
-![alt_text](https://github.com/Snehal-Reddy/MedAI/blob/master/static/Screenshot%20from%202019-09-12%2022-27-18.png)
-
-
-
-
-
-
+3. We use Google console Computer Vision API to extract text (both handwritten and typed). You will require a valid key which you can find in your Google console Cognitive Services Account.
 
+4. Add the key in the file `backend/my_google_api.py` by setting the value of the variable `_key`.

app.py

@@ -1,5 +1,5 @@
 from flask import Flask, request, render_template, jsonify
-# from backend.my_azure_api import *
+# from backend.my_google_api import *
 from backend.medicine_extractor import *
 from backend.symptoms import *
 import json

backend/medicine_extractor.py

@@ -11,8 +11,8 @@
 with open('drugs.json', 'r') as f:
 	drugs_dict = json.load(f)
 
-_url = 'https://westcentralus.api.cognitive.microsoft.com/vision/v2.0/RecognizeText'
-_key = "38923eb3e1e74daf9ba34045ad1d672d"
+_url = 'https://console.cloud.google.com/apis/credentials/oauthclient/498165120842-adem9fcdek3h057uofo4c38damp28d06.apps.googleusercontent.com?project=yashdada'
+_key = "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"
   #Here you have to paste your primary key
 _maxNumRetries = 10
 

backend/my_azure_api.py → backend/my_google_api.py

@@ -6,8 +6,8 @@
 import matplotlib.pyplot as plt
 from matplotlib.lines import Line2D 
 
-_url = 'https://westcentralus.api.cognitive.microsoft.com/vision/v2.0/RecognizeText'
-_key = "b4f1b6fcb14e447e82dc2aad77d25f76"
+_url = 'https://console.cloud.google.com/apis/credentials/oauthclient/498165120842-adem9fcdek3h057uofo4c38damp28d06.apps.googleusercontent.com?project=yashdada'
+_key = "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"
   #Here you have to paste your primary key
 _maxNumRetries = 10
 

drugs.json

@@ -1,6 +1,7 @@
 {
   "description": "A list of pharmaceutical drug names",
   "source": "The United States National Library of Medicine, http://druginfo.nlm.nih.gov/drugportal/",
+
   "drugs": [
     "Abacavir Sulfate",
     "Abatacept",

requirements.txt

@@ -1,63 +1,64 @@
 git+https://github.com/NLPatVCU/medaCy.git
+git+https://github.com/NLPatVCU/medaCy_model_clinical_notes.git
 medacy==0.1.1
-attrs==19.1.0
-awscli==1.16.235
-blis==0.2.4
-botocore==1.12.225
-certifi==2019.6.16
-chardet==3.0.4
-Click==7.0
-colorama==0.3.9
-conllu==1.4
+attrs==21.4.0
+awscli==1.22.104
+blis==0.7.4
+botocore==1.21.59
+certifi==2021.10.8
+chardet==4.0.0
+Click==8.0.1
+colorama==0.4.4
+conllu==4.4
 cycler==0.10.0
-cymem==2.0.2
-dill==0.3.0
-docutils==0.15.2
-Flask==1.1.1
-idna==2.8
-itsdangerous==1.1.0
-Jinja2==2.10.1
-jmespath==0.9.4
-joblib==0.13.2
-jsonschema==3.0.2
-kiwisolver==1.1.0
-MarkupSafe==1.1.1
-matplotlib==3.1.1
-msgpack==0.5.6
-msgpack-numpy==0.4.3.2
-multiprocess==0.70.8
-murmurhash==1.0.2
-nmslib==1.8.1
-numpy==1.16.1
-opencv-python==4.1.1.26
-pathos==0.2.4
-plac==0.9.6
-pox==0.2.6
-ppft==1.6.6.1
-preshed==2.0.1
-pyasn1==0.4.7
-pybind11==2.3.0
-pyparsing==2.4.2
-pyrsistent==0.15.4
-python-crfsuite==0.9.6
-python-dateutil==2.8.0
-PyYAML==5.1.2
-requests==2.22.0
-rsa==3.4.2
-s3transfer==0.2.1
-scikit-learn==0.21.3
-scipy==1.3.1
-scispacy==0.2.2
-six==1.12.0
+cymem==2.0.5
+dill==0.3.4
+docutils==0.18.1
+Flask==2.1.0
+idna==3.3
+itsdangerous==2.0.1
+Jinja2==3.0.3
+jmespath==0.10.0
+joblib==1.1.0
+jsonschema==4.0.1
+kiwisolver==1.3.2
+MarkupSafe==2.1.0
+matplotlib==3.5.0
+msgpack==1.0.3
+msgpack-numpy==0.4.7.1
+multiprocess==0.70.15
+murmurhash==1.0.5
+nmslib==2.1.1
+numpy==1.21.3
+opencv-python==4.5.4.60
+pathos==0.2.8
+plac==1.3.3
+pox==0.3.0
+ppft==1.6.6.3
+preshed==3.0.5
+pyasn1==0.4.8
+pybind11==2.8.0
+pyparsing==3.0.1
+pyrsistent==0.18.0
+python-crfsuite==0.9.7
+python-dateutil==2.8.2
+PyYAML==6.0
+requests==2.26.0
+rsa==4.7.2
+s3transfer==0.5.0
+scikit-learn==0.24.2
+scipy==1.7.3
+scispacy==0.4.0
+six==1.16.0
 sklearn-crfsuite==0.3.6
-spacy==2.1.4
-srsly==0.1.0
-tabulate==0.8.3
-thinc==7.0.8
-tqdm==4.35.0
-urllib3==1.25.3
-wasabi==0.2.2
-Werkzeug==0.15.6
+spacy==3.1.3
+srsly==2.4.1
+tabulate==0.8.9
+thinc==8.0.11
+tqdm==4.62.3
+urllib3==1.26.7
+wasabi==0.8.2
+Werkzeug==2.0.2
 xmltodict==0.12.0
-gunicorn==19.9.0
+gunicorn==20.1.0
 -r requirements/base.txt

requirements/base.txt

@@ -1,2 +1,3 @@
 git+https://github.com/NLPatVCU/medaCy_model_clinical_notes.git	
-medacy-model-clinical-notes==1.0.1
+medacy-model-clinical-notes==1.0.1
+install git+https://github.com/NLPatVCU/medaCy_model_clinical_notes.git

runtime.txt

@@ -1 +1 @@
-python-3.6.8
+python-3.11.5