g

Author: ANGELOANTU7

Backend/__pycache__/NotesToText.cpython-310.pyc

@@ -0,0 +1,18 @@
+FROM public.ecr.aws/lambda/python:3.8
+
+# Install the function's dependencies using file requirements.txt
+# from your project folder.
+COPY Backend ./Backend
+COPY client ./client
+COPY Files ./Files
+COPY images ./images
+COPY Local_Storage ./Local_Storage
+
+COPY requirements.txt  .
+RUN  pip3 install -r requirements.txt --target "${LAMBDA_TASK_ROOT}"
+
+# Copy function code
+COPY app.py ${LAMBDA_TASK_ROOT}
+
+# Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile)
+CMD [ "app.handler" ]

Backend/__pycache__/pyqsorter.cpython-310.pyc

@@ -1,18 +1,19 @@
 import uvicorn
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-
+from mangum import Mangum
 #from Backend.pyqsorter import router as api1_router
 #from Backend.summariser import router_summariser as summariser
 #from Backend.Notes_Analyser import router as api4_router
 #from Backend.Narrator import router as api5_router
-from Backend.NotesToText import router as NotesToText_rounter
+from Backend.NotesToText import router as notestotext
 # import other API routers as needed
 
 origins = ["*"]
 
 
 app = FastAPI()
+handler=Mangum(app)
 
 # Configure CORS
 app.add_middleware(
@@ -33,8 +34,8 @@
 # include other API routers as needed
 
 #app.include_router(NotesToText_rounter)
-app.include_router(cluster_qns_app)
+#app.include_router(api1_router)
 
 if __name__ == "__main__":
-    uvicorn.run(app, host="192.168.137.193", port=8000)
+    uvicorn.run(app, host="0.0.0.0", port=8000)