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Update app.py
Browse files
app.py
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@@ -6,8 +6,36 @@ import pandas as pd
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from datetime import datetime
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from st_on_hover_tabs import on_hover_tabs
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import streamlit as st
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st.set_page_config(layout="wide")
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# Initialize Firebase app
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if not firebase_admin._apps:
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cred = credentials.Certificate("ecomplaintbook-firebase-adminsdk-4q5bo-1f83312d02.json")
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@@ -15,6 +43,14 @@ if not firebase_admin._apps:
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db = firestore.client()
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# Function to fetch user profile from Firebase
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def fetch_user_profile_from_firebase(user_id):
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@@ -82,14 +118,7 @@ def main():
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st.title("Navigation Bar")
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st.header("Complaints")
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# Then query to list all users
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complaints_ref = db.collection('complaints')
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complaints_list = []
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for doc in complaints_ref.stream():
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a = doc.to_dict()
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complaints_list.append(a)
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complaints_df = pd.DataFrame(complaints_list)
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st.dataframe(complaints_df)
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@@ -98,8 +127,19 @@ def main():
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st.write('Name of option is {}'.format(tabs))
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elif tabs == 'Chat':
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st.title("Chat Powered by Gemini")
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st.write('Name of option is {}'.format(tabs))
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from datetime import datetime
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from st_on_hover_tabs import on_hover_tabs
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import streamlit as st
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import os
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from pandasai.llm import GoogleGemini
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from pandasai import SmartDataframe
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from pandasai.responses.response_parser import ResponseParser
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st.set_page_config(layout="wide")
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class StreamLitResponse(ResponseParser):
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def __init__(self,context) -> None:
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super().__init__(context)
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def format_dataframe(self,result):
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st.dataframe(result['value'])
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return
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def format_plot(self,result):
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st.image(result['value'])
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return
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def format_other(self, result):
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st.write(result['value'])
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return
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gemini_api_key = os.environ['Gemini']
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def generateResponse(dataFrame,prompt):
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llm = GoogleGemini(api_key=gemini_api_key)
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pandas_agent = SmartDataframe(dataFrame,config={"llm":llm, "response_parser":StreamLitResponse})
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answer = pandas_agent.chat(prompt)
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return answer
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# Initialize Firebase app
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if not firebase_admin._apps:
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cred = credentials.Certificate("ecomplaintbook-firebase-adminsdk-4q5bo-1f83312d02.json")
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db = firestore.client()
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complaints_ref = db.collection('complaints')
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complaints_list = []
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for doc in complaints_ref.stream():
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a = doc.to_dict()
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complaints_list.append(a)
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complaints_df = pd.DataFrame(complaints_list)
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# Function to fetch user profile from Firebase
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def fetch_user_profile_from_firebase(user_id):
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st.title("Navigation Bar")
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st.header("Complaints")
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# Then query to list all users
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st.dataframe(complaints_df)
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st.write('Name of option is {}'.format(tabs))
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elif tabs == 'Chat':
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st.title("eThekwini Chat Powered by Gemini")
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st.write('Name of option is {}'.format(tabs))
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# Display the data
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with st.expander("Preview"):
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st.write(df.head())
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# Plot the data
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user_input = st.text_input("Type your message here",placeholder="Ask me about complaints from eThekwini residents")
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if user_input:
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answer = generateResponse(dataFrame=complaints_df,prompt=user_input)
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st.write(answer)
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