Update app.py

app.py

@@ -4,6 +4,7 @@ import pandas as pd
 import numpy as np 
 import pickle
 import sklearn
+import requests
 from datasets import load_dataset
 
 data = pd.read_csv("Dataset/mldata.csv")
@@ -75,6 +76,8 @@ def dummy_encode(df):
     else:
         return "Invalid choice"'''
 
+response={}
+
 def rfprediction(name, logical_thinking, hackathon_attend, coding_skills, public_speaking_skills,
                  self_learning, extra_course, certificate_code, worskhop_code, read_writing_skill, memory_capability
                  ,subject_interest, career_interest, company_intend, senior_elder_advise, book_interest, introvert_extro,
@@ -156,6 +159,14 @@ def rfprediction(name, logical_thinking, hackathon_attend, coding_skills, public
                    "UX Designer": float(prediction_result_all[0][10]),
                    "Web Developer": float(prediction_result_all[0][11]),
                    }
+    job_pre=max(result_list)
+    url = "https://jobs-api14.p.rapidapi.com/v2/list"
+    querystring = {"query":job_pre,"location":"India","autoTranslateLocation":"false","remoteOnly":"false","employmentTypes":"fulltime;parttime;intern;contractor"}
+    headers = {
+	"x-rapidapi-key": "714f5a2539msh798d996c3243876p19c71ajsnfcd7ce481cb9",
+	"x-rapidapi-host": "jobs-api14.p.rapidapi.com"}
+    response = requests.get(url, headers=headers, params=querystring)
+    # print(response.json())
     return result_list
 
 cert_list = ["app development", "distro making", "full stack", "hadoop", "information security", "machine learning", "python", "r programming", "shell programming"]
@@ -193,6 +204,7 @@ demo =gr.Interface(fn = rfprediction, inputs=[
                 outputs=gr.Label(num_top_classes=5), 
                 title=" ",
                 description="Members: ""
+                print(response.json())
                 )