Delete pages/8_CodeSimulator.py

pages/8_CodeSimulator.py

@@ -1,57 +0,0 @@
-import streamlit as st
-import torch
-import io
-import sys
-
-# Function to execute the input code and capture print statements
-def execute_code(code):
-    # Redirect stdout to capture print statements
-    old_stdout = sys.stdout
-    sys.stdout = mystdout = io.StringIO()
-    
-    global_vars = {"torch": torch}
-    local_vars = {}
-    try:
-        exec(code, global_vars, local_vars)
-        output = mystdout.getvalue()
-    except Exception as e:
-        output = str(e)
-    finally:
-        # Reset redirect.
-        sys.stdout = old_stdout
-    
-    return output, local_vars
-
-st.title('PyTorch Code Runner')
-
-# Text area for inputting the PyTorch code
-code_input = st.text_area("Enter your PyTorch code here", height=300, value="""# Create two tensors of different shapes
-tensor_c = torch.tensor([1, 2, 3])
-tensor_d = torch.tensor([[1], [2], [3]])
-
-# Perform addition using broadcasting
-tensor_broadcast_add = tensor_c + tensor_d
-print("Broadcast Addition:\\n", tensor_broadcast_add)
-
-# Perform element-wise multiplication using broadcasting
-tensor_broadcast_mul = tensor_c * tensor_d
-print("Broadcast Multiplication:\\n", tensor_broadcast_mul)
-""")
-
-# Button to execute the code
-if st.button("Run Code"):
-    # Prepend the import statement
-    code_to_run = "import torch\n" + code_input
-    
-    # Execute the code and capture the output
-    output, variables = execute_code(code_to_run)
-    
-    # Display the output
-    st.subheader('Output')
-    st.text(output)
-    
-    # Display returned variables
-    if variables:
-        st.subheader('Variables')
-        for key, value in variables.items():
-            st.text(f"{key}: {value}")