Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,91 @@
-import altair as alt
+import streamlit as st
 import numpy as np
 import pandas as pd
-import streamlit as st
+import matplotlib.pyplot as plt
+import pickle
+from keras.models import load_model
 
-"""
-# Welcome to Streamlit!
+# 1. Sayfa Ayarları / Page Settings
+st.set_page_config(page_title="Weather Forecast", layout="wide")
 
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+@st.cache_resource
+def modeli_getir():
+    # Model ismin .keras olduğu için böyle güncelledim
+    model = load_model("lstm_traffic_model.keras")
+    return model
 
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
+@st.cache_resource
+def scaler_getir():
+    with open("scaler.pkl", "rb") as f:
+        return pickle.load(f)
 
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
+model = modeli_getir()
+olcekleyici = scaler_getir()
 
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
+# --- SIDEBAR / YAN PANEL ---
+st.sidebar.header("📁 CSV Format Guide / Rehber")
+st.sidebar.info("""
+**English:** Your file must contain the following columns in order: 
+`date`, `meantemp`, `humidity`, `wind_speed`, `meanpressure`.
 
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
+**Türkçe:** Dosyanız şu sütunları sırasıyla içermelidir: 
+`date`, `meantemp`, `humidity`, `wind_speed`, `meanpressure`.
+""")
 
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
+# Senin gerçek verinden bir kesit örnek olarak
+ornek_data = pd.DataFrame({
+    'date': ['2015-08-21', '2015-08-22'],
+    'meantemp': [29.375, 30.25],
+    'humidity': [72, 65.37],
+    'wind_speed': [8.57, 5.8],
+    'meanpressure': [1002, 1000.8]
 })
+st.sidebar.write("Example Format / Örnek Format:", ornek_data)
+
+# --- MAIN PAGE / ANA SAYFA ---
+st.title("🌡️ Weather Forecasting System / Hava Durumu Tahmin Sistemi")
+st.markdown("### LSTM Network Analysis / LSTM Ağ Analizi")
+
+# Dosya Yükleme
+dosya = st.file_uploader("Upload your CSV file / CSV Dosyanızı Yükleyin", type=["csv"])
+
+if dosya is not None:
+    df = pd.read_csv(dosya)
+    
+    col1, col2 = st.columns(2)
+    
+    with col1:
+        st.subheader("📊 Data Preview / Veri Önizleme")
+        st.write(df.head())
+
+    try:
+        # ÖNEMLİ: Senin verinde 'meantemp' 2. kolonda (index 1)
+        # Sadece bu kolonu tahmin için seçiyoruz
+        veriler = df.iloc[:, 1:2].values
+        
+        # Scale işlemi
+        olcekli_veriler = olcekleyici.transform(veriler)
+
+        # Tahmin (LSTM tahmini)
+        tahminler_scaled = model.predict(olcekli_veriler)
+        tahminler = olcekleyici.inverse_transform(tahminler_scaled)
+
+        with col2:
+            st.subheader("📈 Prediction Result / Tahmin Sonucu")
+            fig, ax = plt.subplots(figsize=(10, 6))
+            ax.plot(veriler, label="Actual / Gerçek", color="#e74c3c", linewidth=2)
+            ax.plot(tahminler, label="Predicted / Tahmin", color="#3498db", linestyle="--", linewidth=2)
+            ax.set_title("Temperature Forecast")
+            ax.set_ylabel("Celsius (°C)")
+            ax.legend()
+            st.pyplot(fig)
+
+        # Kutlama Balonları
+        st.balloons()
+        st.success("✅ Process Completed! / İşlem Başarıyla Tamamlandı!")
+        
+    except Exception as e:
+        st.error(f"Error / Hata: {e}. Please check your column order.")
 
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+else:
+    st.warning("👈 Please upload a CSV file to start / Başlamak için lütfen bir CSV dosyası yükleyin.")