Request. to upload 5.31.22 10:56 FST

app.py

@@ -1,39 +1,19 @@
-import streamlit as st
 
-@st.cache
 import sys
- if len(sys.argv) != 2:
-        print("Please provide a filename")
-        sys.exit(1)
-
-    filename = sys.argv[1]
-
-    # Your code goes here
-
-
-if __name__ == "__main__":
-    main()
- def load_model():
-    model = Megatron()
-    return model
-
-@st.cache(allow_output_mutation=True) # this line is important! 
-def generate_tileset(model, seed):
-    tileset = model.generate_tileset(seed) # this will take some time to run the first time, but will be cached thereafter
-
-    return tileset
+import streamlit as st
+from HaltmannDiffusionv0 Copied import *
 
-@st.cache(allow_output_mutation=True)
-def load_tileset():
-    tileset = Image.open('nsmbwii_tileset.png')
-    return tileset
+st.title("Haltmannn Diffusion")
+st.markdown("This app simulates the diffusion of particles in a 2D square lattice with periodic boundary conditions, using the Haltmannn algorithm.")
 
- def main():
+L = st.slider("Lattice size", 2, 200, 10) #size of the lattice (number of sites on each side)  -> must be even!
+N = st.slider("Number of particles", 1, L**2/2, 10) #number of particles  -> can't be more than L**2/4!  (otherwise there's not enough room for them all!)
 
-    st.title('NSMBWII Tileset Generator')
+ 	#initialize the system: create a list of 'particle' objects, each with random position and velocity vectors:  
 
-    input_tileset = load_tileset()
+particles = [Particle(np.random.randint(0, L), np.random.randint(0, L), np.random.uniform(-1., 1.), np.random.uniform(-1., 1.)) for i in range(N)]
 
-    st.image(input_tileset, caption='Input Tileset', use_column_width=True)
+ 	#set up the plot:  
 
-    tile_size = st.slider('Tile Size', min_value=8, max
+fig = plt.figure() #create a figure object  
+ax = fig