Upload app.py

app.py

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+import streamlit as st 
+import os
+import pandas as pd
+
+from streamlit_option_menu import option_menu 
+from bardapi import Bard
+from  getvalues import getValues
+from pymongo import MongoClient
+from transformers import pipeline, Conversation
+
+
+
+classifyr = pipeline("zero-shot-classification")
+
+convo = pipeline("conversational")
+
+# classifi = pipeline(model="facebook/bart-large-mnli")
+
+uri = os.environ["MONGO_CONNECTION_STRING"]
+client = MongoClient(uri, tlsCertificateKeyFile="database/cert.pem") 
+
+db = client["myapp"] 
+
+col = db["reminders"] 
+
+bardkey = os.environ.get("BARD_API_KEY")
+
+bard = Bard(token=bardkey)
+
+def view_rem():
+    allrem = list(col.find())
+    remdata = pd.DataFrame(allrem)
+    st.dataframe(remdata)
+    
+ 
+def Chatbot():
+    st.title("Chatbot")
+    if user_input := st.chat_input("Describe your goal. e.g: I want to achieve this goal in this time. Be as specific and explanatory as you can."):
+        bardans = bard.get_answer(user_input)['content']
+        anslist = bard.get_answer(f"Make a list of this answer: \n{bardans} \nfor this goal: \n{user_input}\n\nThe list should be in two section, section 1 for all the reminders to track called Daily Routine and section 2 for all information that should be consumed to achieve the goal and stay very focused and motivated with excitement and this section is called Notes")['content']
+        # result = classifyr(user_input,candidate_labels=["reminders", "notes"])
+        with st.chat_message("assistant"):
+            st.write(anslist)
+
+        # with st.chat_message("user"):
+        #     st.write(result["labels"][0])
+        
+        # if ans["labels"][0] == "reminders":
+        #     values = getValues(query.lower())
+        #     with st.chat_message("assistant"):
+        #         st.write(values)
+        #         col.insert_one(values)
+                
+                
+        # elif ans["labels"][0] == "general conversation":
+        #     umsg = bard.get_answer(query)["content"]
+        #     with st.chat_message("assistant"):
+        #         st.write(umsg)
+        
+        # elif ans["labels"][0] ==  "notes":
+            
+        #      Notes = query.lower().replace( " create a new note", "",).replace(" no new note", "")
+            
+            
+            
+Chatbot()
+    
+    
+def Create_Reminder():
+    st.title("Create Reminder")
+    message = st.text_input("Share your plan of today")
+    time = str(st.time_input("Time"))
+    date = str(st.date_input("Date"))
+