Update app.py

app.py

@@ -1,31 +1,31 @@
-import gradio as gr
-import pandas as pd
-from chatbot.bot import QuestionAnsweringBot
-import os
-
-chunked_data_corpus_df = pd.read_csv(os.path.join(os.path.dirname(os.path.realpath(__file__)), "data\\chunked_data_corpus.csv"))
-
-bot = QuestionAnsweringBot(chunked_data_corpus_df)
-
-def message_respond(message, history):
-    answer = bot.form_response(message)
-    return answer
-
-gr.ChatInterface(
-    fn=message_respond,
-    type="messages",
-    title="RAG System for 'The Count of Monte Cristo' book",
-    description="Here you can ask any questions in the context of the book 'The Count of Monte Cristo'. API key is already provided.",
-    theme=gr.themes.Monochrome(font='Lora', text_size='lg', radius_size='sm'),
-    examples=["Who is Monte Cristo?", 
-              "What is the title of Chapter 93", 
-              "Why Edmond Dantes was in prison?", 
-              "How many years does Edmon Dantes spent in prison?",
-              "Who said this sentence to whom 'Wait and hope_ (Fac et spera)'?",
-              "What is the title of Chapter 64?",
-              "Who is the president of the USA?",
-              "Who is the author of the book The Count of Monte Cristo?",
-              "Tell me about all the main identites in Monte Cristo?"
-              ],
-    cache_examples=False,
+import gradio as gr
+import pandas as pd
+from chatbot.bot import QuestionAnsweringBot
+import os
+
+chunked_data_corpus_df = pd.read_csv("../data/chunked_data_corpus.csv"))
+
+bot = QuestionAnsweringBot(chunked_data_corpus_df)
+
+def message_respond(message, history):
+    answer = bot.form_response(message)
+    return answer
+
+gr.ChatInterface(
+    fn=message_respond,
+    type="messages",
+    title="RAG System for 'The Count of Monte Cristo' book",
+    description="Here you can ask any questions in the context of the book 'The Count of Monte Cristo'. API key is already provided.",
+    theme=gr.themes.Monochrome(font='Lora', text_size='lg', radius_size='sm'),
+    examples=["Who is Monte Cristo?", 
+              "What is the title of Chapter 93", 
+              "Why Edmond Dantes was in prison?", 
+              "How many years does Edmon Dantes spent in prison?",
+              "Who said this sentence to whom 'Wait and hope_ (Fac et spera)'?",
+              "What is the title of Chapter 64?",
+              "Who is the president of the USA?",
+              "Who is the author of the book The Count of Monte Cristo?",
+              "Tell me about all the main identites in Monte Cristo?"
+              ],
+    cache_examples=False,
 ).launch()