Upload 5 files

app.py

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+import gradio as gr
+import os
+from functools import partial
+from get_answer import get_answer
+from logs import save_logs
+import gdown
+from config import folder_id, json_url_id
+download_url = f'https://drive.google.com/uc?id={json_url_id}'
+output = 'secret_google_service_account.json'
+gdown.download(download_url, output, quiet=False)
+def stream(query):
+    resp = get_answer(query)
+    answer = ""
+    for chunk in resp:
+        if chunk.choices[0].delta.content is not None:
+            answer = answer + chunk.choices[0].delta.content
+            yield answer
+    # save_logs(query, answer, folder_id=folder_id)
+    
+title = ""
+with gr.Blocks(title=title,theme='nota-ai/theme',css="footer {visibility: hidden}") as demo:
+    gr.Markdown(f"## {title}")
+            
+    with gr.Row():
+        with gr.Column(scale=6):
+            with gr.Row():
+                with gr.Column(scale=3):
+                    chat_submit_button = gr.Button(value="Submit ▶")
+                    url_input = gr.Textbox(placeholder="Age, medical results", lines=15, label="Input patient data")
+                with gr.Column(scale=6):
+                    compliance_output = gr.Markdown("Waiting for link...")
+
+                    
+    fn_chat = stream
+    
+    chat_submit_button.click(fn=fn_chat, inputs=[url_input], outputs=[compliance_output])
+
+
+demo.launch(max_threads=40)

config.py

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+import os
+
+
+openai_api = os.environ("openai_api")
+folder_id = os.environ("folder_id")
+json_url_id = os.environ("json_url_id")

get_answer.py

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+import requests
+from bs4 import BeautifulSoup
+from openai import OpenAI
+import base64
+
+from config import openai_api
+
+def encode_image(image_path):
+  with open(image_path, "rb") as image_file:
+    return base64.b64encode(image_file.read()).decode('utf-8')
+
+
+client = OpenAI(api_key=openai_api)
+def get_ai_response(prompt_content):
+    response = client.chat.completions.create(
+    model="gpt-4o",
+    messages=[
+        {
+        "role": "system",
+        "content": [
+            {
+            "type": "text",
+            "text": f"""You are an experimental AI-copilot for doctors. They will check your outputs
+            You will be given by the doctor patient data input and your role will be to determine the most probable diagnose.
+            You will include all relevant literature backup and references needed and a whole reasoning path of why you think it is.
+            Be very professional and redact as a health practioner.
+            
+            You format each output with only:
+            
+            # Probable diagnose: X
+            
+            #### likelihood: XX% 
+            
+            # Suggested treatment:
+              -XX
+              - XX
+              
+            # Full reasoning and path to diagnose (as a clean decision path with all relevant elements) 
+             
+            
+            """
+            }
+        ]
+        },
+        {
+        "role": "user",
+        "content": prompt_content
+        },
+    ],
+    temperature=1,
+    max_tokens=1439,
+    top_p=1,
+    frequency_penalty=0,
+    presence_penalty=0,
+    stream=True
+    )
+    return response
+
+
+def get_answer(patient_data):
+    answer = get_ai_response(patient_data)
+    # answer = ""
+    return answer

logs.py

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+import os
+from google.oauth2 import service_account
+from googleapiclient.discovery import build
+from googleapiclient.http import MediaFileUpload
+from datetime import datetime
+
+def save_logs(query,response, folder_id = ""):
+    to_save = f"LOG ENTRY\nQUERY\n{query}\n=================================\nRESPONSE\n{response}\n****************************************\n"
+
+    # Get the current date and time
+    now = datetime.now()
+    filename = str(now).replace(":","").replace(" ","").replace("-","").replace(".","")+".txt"
+    with open(filename, 'w') as file:
+        file.write(to_save)
+    # Path to the service account key file
+    SERVICE_ACCOUNT_FILE = 'secret_google_service_account.json'
+
+    # Define the required scopes
+    SCOPES = ['https://www.googleapis.com/auth/drive.file']
+
+    # Authenticate using the service account key file
+    credentials = service_account.Credentials.from_service_account_file(
+        SERVICE_ACCOUNT_FILE, scopes=SCOPES)
+
+    # Build the Google Drive API client
+    service = build('drive', 'v3', credentials=credentials)
+
+    # Specify the folder ID where you want to upload the file
+
+    # Metadata of the file to be uploaded
+    file_metadata = {
+        'name': filename,  # Name of the file to be uploaded
+        'parents': [folder_id]  # Folder ID
+    }
+
+    # Path to the file you want to upload
+    file_path = filename
+
+    # Create a MediaFileUpload object to upload the file
+    media = MediaFileUpload(file_path, mimetype='text/plain')
+
+    # Use the Drive API to upload the file
+    file = service.files().create(
+        body=file_metadata,
+        media_body=media,
+        fields='id'
+    ).execute()
+
+    # Print the file ID of the uploaded file
+    print('Saved in Google Drive - File ID: %s' % file.get('id'))

requirements.txt

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+requests
+bs4
+openai
+pandas
+numpy
+tabula-py
+openai
+gradio
+pyPDF2
+bs4
+nltk
+tiktoken
+pdf2image
+gdown
+google-auth
+google-auth-oauthlib
+google-auth-httplib2
+google-api-python-client