cluster_qns api done

Author: Sameer-Abdulla

Backend/Generate_qns.py

@@ -0,0 +1,14 @@
+from fastapi import APIRouter, Response
+from pathlib import Path
+
+router = APIRouter()
+
+@router.get("/clusterqns")
+async def generate_file():
+    # Read the content of the file from local storage
+    file_path = "Local_Storage/Generated_Files/cluster_questions.txt"  # Replace with the actual path to your local file
+    with open(file_path, "r") as file:
+        file_content = file.read()
+
+    # Set the response to download the file
+    return Response(content=file_content, media_type="text/plain")

Backend/__pycache__/cluster_qns.cpython-310.pyc

@@ -1,5 +1,5 @@
 #pyqsorter , sorts set of pyqs into modules
-from fastapi import APIRouter
+from fastapi import APIRouter,  Response
 import os
 import re
 import chardet
@@ -9,6 +9,7 @@
 from sklearnex import patch_sklearn
 patch_sklearn()
 from sklearn.cluster import KMeans
+from pathlib import path
 
 
 

Backend/cluster_qns.py

@@ -5,13 +5,11 @@
 
 
 # Define your input parameters
-with open('#define path sorted questions here', 'r') as file:
-    sorted_questions = str(file.read())
-with open('#define path notebook questions here', 'r') as file:
-    notebook_questions = str(file.read())    
+with open('Local_Storage/Generated_Files/cluster_questions.txt', 'r') as file:
+    sorted_questions = str(file.read()) 
 with open('#define path for important topics here', 'r') as file:
     important_topics = str(file.read())  
-with open('#define path for reference paper here', 'r', encoding='latin-1') as file:
+with open('Local_Storage/pyqs_text', 'r', encoding='latin-1') as file:
     reference_paper = str(file.read())            
 
 

Backend/pyqsorter.py

@@ -4,7 +4,8 @@
 #from Backend.summariser import router as api2_router
 #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_rounter
+from Backend.cluster_qns import router as cluster_qns_app
 # import other API routers as needed
 
 app = FastAPI()
@@ -17,7 +18,8 @@
 #app.include_router(api5_router)
 # include other API routers as needed
 
-app.include_router(NotesToText_rounter)
+#app.include_router(NotesToText_rounter)
+app.include_router(cluster_qns_app)
 
 if __name__ == "__main__":
     uvicorn.run(app, host="0.0.0.0", port=8000)