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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+dil_tespit_modeli.keras filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,60 @@
+import streamlit as st
+import tensorflow as tf
+import pickle
+import numpy as np
+import neattext.functions as nfx
+
+# 1. Page Configuration
+st.set_page_config(page_title="AI Language Identifier", page_icon="🌍", layout="centered")
+
+# 2. Load Models and Necessary Files
+@st.cache_resource
+def load_models():
+    # Ensure these files are in the same directory on Hugging Face Space
+    model = tf.keras.models.load_model("dil_tespit_modeli.keras")
+    with open("dil_vektorlestirici.pkl", "rb") as f:
+        vectorizer = pickle.load(f)
+    
+    # Original training labels
+    languages = ['Arabic', 'Danish', 'Dutch', 'English', 'French', 'German', 'Greek', 'Hindi', 'Italian', 'Kannada', 'Malayalam', 'Portuguese', 'Russian', 'Spanish', 'Swedish', 'Tamil', 'Turkish']
+    return model, vectorizer, languages
+
+model, vectorizer, languages = load_models()
+
+# 3. UI Design
+st.title("🌍 Advanced Language Identification System")
+st.markdown("""
+### Deep Learning Powered NLP Model
+Enter any text below, and the AI will determine its language with high precision.
+""")
+
+# Text input area
+user_input = st.text_area("Input Text for Analysis:", placeholder="e.g., Artificial Intelligence is transforming the world.", height=150)
+
+# Detection Logic
+if st.button("Detect Language"):
+    if user_input.strip():
+        with st.spinner('Analyzing patterns...'):
+            # Preprocessing
+            cleaned = nfx.remove_special_characters(user_input)
+            cleaned = nfx.remove_numbers(cleaned).lower()
+            
+            # Vectorization
+            vectorized = vectorizer.transform([cleaned]).toarray()
+            
+            # Prediction
+            prediction = model.predict(vectorized, verbose=0)
+            lang_index = np.argmax(prediction)
+            confidence = np.max(prediction) * 100
+            detected_lang = languages[lang_index]
+            
+            # Display Results
+            st.success(f"### Detected Language: {detected_lang}")
+            st.progress(int(confidence))
+            st.info(f"**Confidence Score:** {confidence:.2f}%")
+    else:
+        st.warning("Please enter some text first to analyze.")
+
+# Footer
+st.markdown("---")
+st.caption("Data Science Project | Deep Learning & Advanced NLP (ANN Model)")

dil_tespit_modeli.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fa79f07712b931175f10eb9e8e113dc91951f7f4315b469642af6dd90d0a165c
+size 121383292

dil_vektorlestirici.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:074c1d26c66aedead87b7aaa0793f5bd6e4aebeb4be65fa35a4a30d6b7be9803
+size 601081