Create app.py

app.py

@@ -0,0 +1,24 @@
+# AnjiBot 🤖
+### Computer Science Course Representative (Chatbot)
+
+from transformers import pipeline
+import pandas as pd
+import gradio as gr
+
+# Load TAPAS model and table
+tqa = pipeline(task="table-question-answering", model="google/tapas-base-finetuned-sqa")
+table = pd.read_csv('CSLECTURERS.csv', delimiter="::")
+table = table.astype('str')
+
+messages = []
+responses = []
+
+def anjibot(message, history):
+    messages.append(message)
+    conversation = {"text": message, "past_user_input": messages, "generated_responses": responses}
+    answer = tqa(table=table, query=message)["answer"]
+    responses.append(answer)
+    return "AnjiBot: " + answer
+
+demo_chatbot = gr.ChatInterface(anjibot, title='AnjiBot', description="Anji is unavailable? That girl! Ask me, I may know!")
+demo_chatbot.launch()