Upload 3 files

app.py

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+import streamlit as st
+from tensorflow.keras.models import load_model
+import numpy as np
+import pickle
+import joblib
+
+# Modeli yükleme
+with open('disaster.pkl', 'rb') as file:
+    pipeline = pickle.load(file)
+
+
+st.title("Felaket Tespit Modeli")
+user_input = st.text_area("Tweet giriniz:")
+
+
+if st.button("Tahmin Et"):
+    if user_input:
+        # Modeli yükleme
+        pipeline = joblib.load('disaster.pkl')  # ya da pickle ile yükleyebilirsiniz
+        
+        prediction = pipeline.predict([user_input])[0]
+        label = "Felaket" if prediction == 1 else "Degil"
+        st.write(f"Tahmin: {label}")
+        
+    else:
+        st.write("Lütfen bir metin girin.")

disaster.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f86ec8772114c7b213c2738c431b14c2f55d43eb7c7692c749f88d29d376f333
+size 1615600

requirements.txt

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+streamlit
+joblib
+scikit-learn
+pandas
+transformers
+torch
+tensorflow