Create app.py

app.py

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+
+import streamlit as st
+import pandas as pd
+import requests
+
+# FastAPI endpoints
+GET_API_URL = "http://127.0.0.1:8000/get_s_matrix/"
+POST_API_URL = "http://127.0.0.1:8000/process_s_matrix/"
+
+# Streamlit app setup
+st.set_page_config(page_title="S-Matrix to RLC Converter", layout="wide")
+st.title("S-Matrix to RLC Converter")
+st.markdown("""
+<style>
+    .stButton>button { 
+        background-color: #4CAF50; 
+        color: white; 
+        border: none; 
+        padding: 10px 20px; 
+        font-size: 16px; 
+        border-radius: 5px;
+    }
+    .stButton>button:hover { 
+        background-color: #45a049; 
+    }
+</style>
+""", unsafe_allow_html=True)
+
+# Fetch S-matrix data
+st.header("1. Fetch S-Matrix Data")
+col1, col2 = st.columns(2)
+
+with col1:
+    if st.button("Fetch as JSON"):
+        response = requests.get(GET_API_URL, params={"format": "json"})
+        if response.status_code == 200:
+            s_matrix = response.json()["s_matrix"]
+            st.success("Data fetched successfully!")
+            st.write(pd.DataFrame(s_matrix, columns=["S11", "S12"]))
+        else:
+            st.error("Failed to fetch data.")
+
+with col2:
+    if st.button("Fetch as CSV"):
+        response = requests.get(GET_API_URL, params={"format": "csv"})
+        if response.status_code == 200:
+            st.success("CSV downloaded. Check your downloads folder!")
+            st.download_button("Download CSV", response.content, file_name="s_matrix.csv")
+        else:
+            st.error("Failed to fetch data.")
+
+# Process S-matrix
+if "s_matrix" in locals():
+    st.header("2. Process S-Matrix")
+    if st.button("Calculate RLC"):
+        payload = {"s_matrix": s_matrix}
+        response = requests.post(POST_API_URL, json=payload)
+
+        if response.status_code == 200:
+            rlc_values = response.json()["rlc_values"]
+            rlc_df = pd.DataFrame(rlc_values)
+            st.write("RLC Results✅")
+            st.dataframe(rlc_df)
+
+            # Copy-to-clipboard button
+            st.write("Copy Results")
+            st.code(rlc_df.to_csv(index=False), language="plaintext")
+            st.download_button("Copy to Clipboard", rlc_df.to_csv(index=False), file_name="rlc_results.csv")
+        else:
+            st.error("Failed to process data.")
+
+