Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+from data_fetcher import get_hydrogen_data
+from model import predict_hydrogen_production
+
+# Load dataset
+df = get_hydrogen_data()
+
+# Streamlit UI
+st.set_page_config(page_title="Hydrogen Analysis App", layout="wide")
+
+# Sidebar Inputs
+st.sidebar.header("Electrolysis Parameters")
+current_density = st.sidebar.slider("Current Density (A/cm²)", 0.1, 2.0, 1.0)
+voltage = st.sidebar.slider("Voltage (V)", 1.6, 2.2, 1.8)
+temperature = st.sidebar.slider("Cell Temperature (°C)", 25, 80, 50)
+membrane = st.sidebar.selectbox("Membrane Type", ["Nafion", "Fumapem", "Other"])
+electrodes = st.sidebar.selectbox("Electrodes", ["Platinum", "Nickel", "Other"])
+
+# Predict Button
+if st.sidebar.button("Predict Hydrogen Production"):
+    params = {
+        "current_density": current_density,
+        "voltage": voltage,
+        "temperature": temperature,
+        "membrane": membrane,
+        "electrodes": electrodes
+    }
+    
+    prediction = predict_hydrogen_production(params)
+    st.sidebar.success(f"🔍 Prediction:\n{prediction}")
+
+# Dashboard
+st.title("🚀 Hydrogen Techno-Economics Analysis")
+st.markdown("This app provides insights into hydrogen production via electrolysis.")
+
+# Show Dataset
+st.subheader("📊 Electrolysis Data")
+st.dataframe(df)
+
+# Comparison Graphs
+st.subheader("📉 Efficiency Comparison")
+fig, ax = plt.subplots()
+sns.barplot(x=df["Parameter"], y=df["Value"], ax=ax, palette="coolwarm")
+plt.xticks(rotation=30, ha="right")
+st.pyplot(fig)
+
+# Cost Analysis
+st.subheader("💰 Cost Analysis")
+water_cost = df[df["Parameter"] == "Water Cost"]["Value"].values[0]
+energy_cost = df[df["Parameter"] == "Energy Cost"]["Value"].values[0]
+hydrogen_rate = df[df["Parameter"] == "Hydrogen Production Rate"]["Value"].values[0]
+
+st.metric("Water Cost", f"${water_cost} per m³")
+st.metric("Energy Cost", f"${energy_cost} per kWh")
+st.metric("Hydrogen Production", f"{hydrogen_rate} ml/min")
+
+# Conclusion
+st.subheader("🔍 Interpretation & Suggestions")
+st.info("Increase voltage and optimize membrane to improve efficiency.")
+