Update parameters

Signed-off-by: Aadhitya A <[email protected]>

app.py

@@ -474,7 +474,7 @@ def modelTFT(csv_file, prax):
         time_varying_known_reals=["time_idx"],
         time_varying_unknown_categoricals=[],
         time_varying_unknown_reals=[
-            'BBtop','BBbottom','Open','High','Low','Close','OI','RSI14','RSI44','HHRSI','EMARSI','Rsi Weekly','LLVC','HHV','LLCHHV','white','Daily','Sea Green','Weekly','Hourly','5mins','Ema5','Ema20','Ema50'
+            'Open','High','Low','Close','OI','RSI14','RSI44','HHRSI','EMARSI','Rsi Weekly','LLCHHV','white','Vap44','Vap14','BV11','SV11','Ema5','Ema20','Ema50','Ema200'
         ],
         target_normalizer=GroupNormalizer(
             groups=['Ticker'], transformation="softplus"
@@ -711,7 +711,7 @@ def modelTFT_OpenGap(csv_file, prax):
         time_varying_known_reals=["time_idx"],
         time_varying_unknown_categoricals=[],
         time_varying_unknown_reals=[
-            'BBtop','BBbottom','Open','High','Low','Close','OI','RSI14','RSI44','HHRSI','EMARSI','Rsi Weekly','LLVC','HHV','LLCHHV','white','Daily','Sea Green','Weekly','Hourly','5mins','Ema5','Ema20','Ema50', 'O-C'
+            'Open','High','Low','Close','OI','RSI14','RSI44','HHRSI','EMARSI','Rsi Weekly','LLCHHV','white','Vap44','Vap14','BV11','SV11','Ema5','Ema20','Ema50','Ema200', 'O-C'
         ],
         target_normalizer=GroupNormalizer(
             groups=['Ticker'], transformation="softplus"
@@ -922,9 +922,9 @@ def main(files):
         modelTFT(df, prax)
         prax[2] = "TFT"
         generate_csv(prax)
-        #modelTFT_OpenGap(df, prax)
-        #prax[2] = "TFT_OpenGap"
-        #generate_csv(prax)
+        modelTFT_OpenGap(df, prax)
+        prax[2] = "TFT_OpenGap"
+        generate_csv(prax)
         df.set_index('Date/Time', inplace=True)
         modelCNNLSTM(df, prax)
         prax[2] = "CNNLSTM"
@@ -947,10 +947,10 @@ def main(files):
     f1 = fileOutput()
     return f1
 
-gradioApp = gr.Interface(fn=main, inputs=gr.File(file_count="multiple", file_type=".csv"), outputs="file", examples=[[[os.path.join(os.path.dirname(__file__),"demo/sample.csv")]]])
+gradioApp = gr.Interface(fn=main, inputs=gr.File(file_count="multiple", file_type=".csv"), outputs="file")
 
 
 if __name__ == "__main__":
     # Calling main function
     gradioApp.launch()
-    time.sleep(10)
+    time.sleep(10)