.

app.py

@@ -1,4 +1,4 @@
-from flask import Flask, render_template, request, jsonify, make_response
+from flask import Flask, render_template, request, jsonify
 # from flask_cors import CORS, cross_origin
 from modules.model import summarize
 import __main__
@@ -10,12 +10,12 @@ app = Flask(__name__)
 # longTokenizer = BartTokenizer.from_pretrained('sshleifer/distilbart-cnn-12-6')
 # longModel = BartForConditionalGeneration.from_pretrained('sshleifer/distilbart-cnn-12-6')
 
-@app.route('/')
+@app.route("/")
 def home():
     return render_template('index.html')
 
 
-@app.route('/summarize')
+@app.route("/summarize")
 def recommend():
     # Get form data
     # request_data = request.args.get("input").get_json()
@@ -36,12 +36,6 @@ def recommend():
 
     pass
 
-def main():
-    # app.config['TEMPLATES_AUTO_RELOAD'] = True
-    # app.config['SEND_FILE_MAX_AGE_DEFAULT'] = 0
-    # app.run(debug=True)
-    app.run(host='0.0.0.0', port=7860)
-
 if __name__ == '__main__':
     print("Loading BART model and tokenzier . . .")
-    main()
+    app.run(host="0.0.0.0", port=7860)

templates/index.html

@@ -198,9 +198,10 @@
         //   },
         //   referrerPolicy: 'no-referrer'
         // };
-        const inferResponse = await fetch(`/summarize?input=${jsonfile}`);
+        const inferResponse = await fetch(`summarize?input=${jsonfile}`);
+        const inferJson = await inferResponse.json();
 
-        return inferResponse.json();
+        return inferJson;
       };
       
       const textGenForm = document.querySelector('#input_form');