Update app.py

app.py

@@ -105,18 +105,18 @@ st.write('Upload a PDF to use POMFinder to predict the structure.')
 pdf_file = st.file_uploader("Upload PDF file in .gr format", type=["gr"])
 
 # Define the form to get the other parameters
-#Qmin = st.number_input("Qmin value of the experimental PDF", min_value=0.0, max_value=2.0, value=0.7)
-#Qmax = st.number_input("Qmax value of the experimental PDF", min_value=15.0, max_value=40.0, value=30.0)
-#Qdamp = st.number_input("Qdamp value of the experimental PDF", min_value=0.00, max_value=0.08, value=0.04)
+Qmin = 0.7 #st.number_input("Qmin value of the experimental PDF", min_value=0.0, max_value=2.0, value=0.7)
+Qmax = 30 #st.number_input("Qmax value of the experimental PDF", min_value=15.0, max_value=40.0, value=30.0)
+Qdamp = 0.04 #st.number_input("Qdamp value of the experimental PDF", min_value=0.00, max_value=0.08, value=0.04)
 nyquist = st.checkbox("Is the data nyquist sampled", value=False)
 
 parser = argparse.ArgumentParser(prog='POMFinder', formatter_class=argparse.ArgumentDefaultsHelpFormatter)
 args = parser.parse_args()
 args.data = "uploaded_file.gr"
 args.nyquist = nyquist
-#args.Qmin = Qmin
-#args.Qmax = Qmax
-#args.Qdamp = Qdamp
+args.Qmin = Qmin
+args.Qmax = Qmax
+args.Qdamp = Qdamp
 args.file_name = "POMFinder_results.txt"
 
 if pdf_file is None: