up

app.py

@@ -1,7 +1,33 @@
-import gradio as gr
+from flask import Flask, render_template, request
+import nltk
+from nltk.corpus import stopwords
+import joblib
 
-def greet(name):
-    return "Hello " + name + "!!"
+app = Flask(__name__)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Load the trained model and vectorizer outside the routes for better performance
+loaded_classifier = joblib.load("is_this_bible_model.pkl")
+vectorizer = joblib.load("is_this_bible_vectorizer.pkl")
+
+def parse_text(new_text):
+    new_text_tfidf = vectorizer.transform([new_text])
+    prediction = loaded_classifier.predict(new_text_tfidf)
+    probabilities = loaded_classifier.predict_proba(new_text_tfidf)
+    confidence_score = probabilities[0, 1]
+    return 'תנ"ך' if prediction[0] == 1 else 'אחר', confidence_score
+
+@app.route('/', methods=['GET', 'POST'])
+def index():
+    prediction = None
+    confidence_score = None
+    new_text = None
+
+    if request.method == 'POST':
+        new_text = request.form['new_text']
+        if new_text:
+            prediction, confidence_score = parse_text(new_text)
+    return render_template('index.html', new_text=new_text, prediction=prediction, confidence_score=confidence_score)
+
+
+if __name__ == '__main__':
+    app.run(debug=True)

requirements.txt

@@ -0,0 +1,3 @@
+Flask
+nltk
+joblib

try_model_webui.py

@@ -1,35 +0,0 @@
-from flask import Flask, render_template, request
-import webbrowser
-import nltk
-from nltk.corpus import stopwords
-import joblib
-
-app = Flask(__name__)
-
-# Load the trained model and vectorizer outside the routes for better performance
-loaded_classifier = joblib.load("is_this_bible_model.pkl")
-vectorizer = joblib.load("is_this_bible_vectorizer.pkl")
-
-def parse_text(new_text):
-    new_text_tfidf = vectorizer.transform([new_text])
-    prediction = loaded_classifier.predict(new_text_tfidf)
-    probabilities = loaded_classifier.predict_proba(new_text_tfidf)
-    confidence_score = probabilities[0, 1]
-    return 'תנ"ך' if prediction[0] == 1 else 'אחר', confidence_score
-
-@app.route('/', methods=['GET', 'POST'])
-def index():
-    prediction = None
-    confidence_score = None
-    new_text = None
-
-    if request.method == 'POST':
-        new_text = request.form['new_text']
-        if new_text:
-            prediction, confidence_score = parse_text(new_text)
-    return render_template('index.html', new_text=new_text, prediction=prediction, confidence_score=confidence_score)
-
-
-if __name__ == '__main__':
-    webbrowser.open('http://127.0.0.1:5000/')
-    app.run(debug=True)