Upload 4 files

Inflation adjustment, keyword stemming

app.py

@@ -35,27 +35,27 @@ with col1:
     long = st.number_input("Conference Duration, Days", min_value=0, value=3)
     
     # Dropdown menus
-    event_type = st.selectbox("Event Type", ["Conference", "Workshop", "Forum", "Other"])
-    cntry = st.selectbox("Conference Location Country", ["USA", "China", "India", "Romania", "Other"])
+    event_type = st.selectbox("Event Type", ["Conference", "Workshop", "Other"])
+    cntry = st.selectbox("Conference Location Country", ["USA", "India", "China", "Other"])
     if cntry =="USA":
-        loc_state = st.selectbox("Conference Location State", [ "CA", "NJ", "NY", "FL", "Other"], index=4)
+        loc_state = st.selectbox("Conference Location State", [ "CA", "NJ", "Other"], index=2)
     else:
         loc_state = "Other"
 
     # Checkboxes
     st.markdown("<h4>Keywords</h4>", unsafe_allow_html=True)
-    kw_comp = st.checkbox("Computing")
-    kw_sys = st.checkbox("Systems")
-    kw_app = st.checkbox("Applications")
-    kw_computational = st.checkbox("Computational")
-    kw_wless = st.checkbox("Wireless")
-    kw_mdl = st.checkbox("Modeling")
-    kw_ntwk = st.checkbox("Networking")
-    kw_des = st.checkbox("Design")
-    kw_adv = st.checkbox("Advanced")
-    kw_dist = st.checkbox("Distributed")
+    kw_comp = st.checkbox("Computer(s) / Computing / Computation / Computational")
+    kw_sys = st.checkbox("System(s)")
+    kw_app = st.checkbox("Application(s)")
+    kw_ntwk = st.checkbox("Network(s) /Networking")
+    #kw_wless = st.checkbox("Wireless")
+    #kw_mdl = st.checkbox("Modeling")
+    kw_arch = st.checkbox("Architecture(s)")
+    kw_img = st.checkbox("Image / Imaging")
+#    kw_adv = st.checkbox("Advanced")
+#    kw_dist = st.checkbox("Distributed")
     
-
+    st.write("**Please only use the exact keywords listed and avoid including any variations or additional words!**")
 submit = st.button("Submit")
 
 # If the submit button is clicked, show output in the second column (col2)
@@ -78,35 +78,29 @@ with col2:
                 atnd_num = atnd_num / 1.1
                 ppr_num = ppr_num / 1.08
                 
-                data = pd.DataFrame([{'act_atnd_tot_atnd_num': atnd_num,
+                
+                data = pd.DataFrame([{
+                                        'act_atnd_tot_atnd_num': atnd_num,
                                         'long_atnd_ratio':long/atnd_num, 
                                         'act_paprs_num': ppr_num, 
                                         'longevity': long,
                                         'papr_atnd_ratio':ppr_num/atnd_num, 
                                         'exh_num': exh_num,
-                                        'exh_atnd_ratio': exh_num/atnd_num,
-                                        'computing': int(kw_comp),
+                                        'comput': int(kw_comp),
                                         'conf_loc_cntry_nm_USA': int(cntry == "USA"),
                                         'conf_loc_cntry_nm_India': int(cntry == "India"),
-                                        'conf_evnt_typ_nm_Workshop': int(event_type == "Workshop"),
+                                        'system': int(kw_sys),
                                         'conf_loc_state_nm_CA': int(loc_state == "CA"),
+                                        'conf_evnt_typ_nm_Conference': int(event_type == "Conference"),
                                         'conf_loc_state_nm_NJ': int(loc_state == "NJ"),
-                                        'systems': int(kw_sys),
-                                        'applications': int(kw_app),
-                                        'computational': int(kw_computational),
+                                        'imag': int(kw_img),
                                         'conf_loc_cntry_nm_China': int(cntry == "China"),
-                                        'wireless': int(kw_wless),
-                                        'conf_loc_cntry_nm_Romania': int(cntry == "Romania"),
-                                        'conf_loc_state_nm_FL': int(loc_state == "FL"),
-                                        'modeling': int(kw_mdl), 
-                                        'networking': int(kw_ntwk), 
-                                        'design': int(kw_des),
-                                        'conf_loc_state_nm_NY': int(loc_state == "NY"),
-                                        'conf_evnt_typ_nm_Forum': int(event_type == "Forum"),
-                                        'advanced': int(kw_adv),
-                                        'distributed': int(kw_dist)
-                                    
+                                        'applic': int(kw_app),
+                                        'conf_evnt_typ_nm_Workshop': int(event_type == "Workshop"),                                 
+                                        'network': int(kw_ntwk), 
+                                        'architectur': int(kw_arch), 
                 }])
+            
                 
                 
                 lambdas = pd.read_csv('lambdas_yeojohnson.csv', header=None, index_col=0)
@@ -143,3 +137,5 @@ with col2:
                 st.write(f"Audit Fees Amount: ${round(round(audit_exp, -3))}")
                 st.write("")
                 st.write("***The numbers are approximate and should be adjusted according to event needs**")
+                
+                # Add button save those numbers to Excel

budget_prediction_model.joblib

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1638cad00656550f71eedb730ffbb33b9fc0b42f23dc6397d975586487c842bb
-size 29676185
+oid sha256:86ac4a2ad5f848c4fefe30769537418d27aba96e8e7d504338ad0ddf5f9312c3
+size 34477193

lambdas_yeojohnson.csv

@@ -1,7 +1,7 @@
-fin_inc_tot_amt,-0.13841237930384687
-act_atnd_tot_atnd_num,-0.24535442189745793
-exh_num,-0.26499435516158876
-act_paprs_num,-0.17349663203576338
-est_pgs_num,-0.20332088971438553
-act_list_price_amt,-1.2227755709875954
-act_membr_price_amt,-1.2018140009880975
+fin_inc_tot_amt,-0.15822115298278824
+act_atnd_tot_atnd_num,-0.2363952630099358
+exh_num,-0.26375210803236016
+act_paprs_num,-0.17673646656979733
+est_pgs_num,-0.21722921908368487
+act_list_price_amt,-1.214164679557143
+act_membr_price_amt,-1.168323387670939

requirements.txt

@@ -1,4 +1,5 @@
-scikit-learn
-streamlit
-joblib
-scipy
+scikit-learn
+streamlit
+joblib
+scipy
+openpyxl