New commit

app.py

@@ -7,10 +7,11 @@ app = FastAPI()
 
 
 @app.post("/predict/")
-async def predict(id:str = Query(..., description = "The ID for prediction")):
+async def predict(id:str):
     try:
         print("Request received")
-        tenant_json = rv.algo_start(int(id))
+        tenant_list = rv.algo_start(int(1))
+        tenant_json = rv.json_convert(tenant_list)
         return tenant_json
     
     except Exception as error:

resultview.py

@@ -54,10 +54,12 @@ def algo_start(id):
     #sm.data_checking(dataframe)
     similarity_matrix = sm.encoder_matrix(dataframe, min_range = 0, max_range=100)
     tenant_list = tenant_inference(similarity_matrix, id,original_dataframe)
-    json_convert(tenant_list)
+    return tenant_list
+    #json_convert(tenant_list)
     #tenant_visualization(similarity_matrix, [20,40,50,18,15])
 
 def json_convert(tenant_list):
+    print("Entering json_convert")
     #THE ALGO START FUNCTION COULD BE DOING THIS DIRECTLY, IS A POSSIBLE IMPROVEMENT IF THE WEB ISN'T WORKING FAST ENOUGH
     
     tenants_dict = {

try.py

@@ -2,11 +2,22 @@ import requests
 import resultview as rv
 import json
 import pandas as pd
+from urllib.parse import urlencode
+
+# url = "https://luismidv-mlsystemtfg.hf.space/predict/"
+# params = {"id": str(1)}
+
+# full_url = f"{url}?{urlencode(params)}"
+# print(f"Final url {full_url}")
+
+# response = requests.post(url, params = params)
+# print(response)
+
+tenant_list = rv.algo_start(1)
+tenant_json = rv.json_convert(tenant_list)
+print(tenant_json)
+
 
-url = "https://luismidv-mlsystemtfg.hf.space/predict/"
-params = {"id": 1}
-response = requests.post(url, params)
-print(response)