f

Dockerfile

@@ -41,4 +41,4 @@ EXPOSE 8080
 ENV NAME World
 
 # Command to run on container start
-CMD [ "gunicorn", "--bind", "0.0.0.0:8080", "librarymed.main:app" ]
+CMD [ "gunicorn", "-b", "0.0.0.0:8080", "librarymed.app_librarymed:app" ]

docker-compose.yml

@@ -5,7 +5,5 @@ services:
     build: 
       context: .
       dockerfile: Dockerfile
-    volumes:
-      - .:/app
     ports:
-      - "80:80"
+      - "8080:8080"

librarymed/app_librarymed.py

@@ -2,7 +2,7 @@ import logging
 import os
 
 import openai
-from flask import Flask, flash, request, redirect, jsonify
+from flask import Flask, flash, request, jsonify
 from llama_index import Document
 from llama_index.embeddings import OpenAIEmbedding, HuggingFaceEmbedding
 from llama_index.llms import OpenAI
@@ -28,7 +28,7 @@ def allowed_file(filename, allowed_extensions):
 
 
 @app.route('/', methods=['GET'])
-def __get__():
+def get():
     score = 0
     criteria_met = 0
     title = ""
@@ -45,7 +45,7 @@ def __get__():
 
 
 @app.route('/upload', methods=['POST'])
-def __post__():
+def post():
 
     config = app.config['user_config']
     openai.api_key = os.getenv('OPENAI_API_KEY')

librarymed/main.py

@@ -1,12 +0,0 @@
-import os
-import logging
-from dotenv import load_dotenv
-load_dotenv()
-from .app_librarymed import app
-
-app = app
-
-if __name__ == '__main__':
-    port = os.getenv("PORT") or 8080
-    logging.info("Run LibraryMed interface v0.2.0 developed by Kromin")
-    app.run(debug=True, host="0.0.0.0", port=port)