Update app.py

app.py

@@ -15,7 +15,7 @@ from chitra.serve import create_api
 from transformers import pipeline
 stemmer = LancasterStemmer()
 
-classifier = pipeline("table-question-answering")
+# classifier = pipeline("document-question-answering")
 with open("intents.json") as file:
     data = json.load(file)
 
@@ -123,8 +123,9 @@ height: 70vh !important;
 
 """
 
-cr_api = create_api(classifier,run=False,api_type="text-classification")
+cr_api = create_api(model,run=False,api_type="text-classification")
 cr_api.run()
+
 demo = gr.Interface(
     chat,
     [gr.Textbox(lines=1, label="Message"), "state"],