Upload 4 files

main.py

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+import nltk
+from nltk.corpus import stopwords
+from nltk.tokenize import word_tokenize
+from nltk.stem import WordNetLemmatizer
+from string import punctuation
+import streamlit as st
+import pickle
+
+nltk.download('punkt')
+nltk.download('stopwords')
+nltk.download('wordnet')
+model = pickle.load(open("model.pkl", "rb"))
+vectorizer = pickle.load(open("vectorizer.pkl", "rb"))
+
+st.write("# Language Detection System")
+
+inputt = st.text_area("Enter text here")
+
+def preprocess_text(text):
+    punc = list(punctuation)
+    stop = stopwords.words('english')
+    bad_tokens = punc + stop
+    lemma = WordNetLemmatizer()
+    tokens = word_tokenize(text)
+    word_tokens = [t for t in tokens if t.isalpha()]
+    clean_tokens = [lemma.lemmatize(t.lower()) for t in word_tokens if t not in bad_tokens]
+    return ' '.join(t for t in clean_tokens)
+
+if st.button("Detect Language"):
+    processed_text = preprocess_text(inputt)
+    vectorized = vectorizer.transform([processed_text]).toarray()
+    prediction = model.predict(vectorized)[0]
+
+    if prediction == 1:
+        st.header("English")
+    if prediction == 2:
+        st.header("Malayalam")
+    if prediction == 3:
+        st.header("Hindi")
+    if prediction == 4:
+        st.header("Tamil")
+    if prediction == 5:
+        st.header("Portuguese")
+    if prediction == 6:
+        st.header("French")
+    if prediction == 7:
+        st.header("Dutch")
+    if prediction == 8:
+        st.header("Spanish")
+    if prediction == 9:
+        st.header("Greek")
+    if prediction == 10:
+        st.header("Russian")
+    if prediction == 11:
+        st.header("Danish")
+    if prediction == 12:
+        st.header("Italian")
+    if prediction == 13:
+        st.header("Turkish")
+    if prediction == 14:
+        st.header("Swedish")
+    if prediction == 15:
+        st.header("Arabic")
+    if prediction == 16:
+        st.header("German")
+    if prediction == 17:
+        st.header("Kannada")

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:592d90361198ed23c5f199437b72785cfe501826eafc8674459c0428d2044c5b
+size 9600388

vectorizer.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:41002e32081486b6248c9f897dddbf62fd104cf723f80e44de5a4b7b4d0b7163
+size 544652