import streamlit as st import requests from dotenv import load_dotenv import os import pandas as pd import time import chardet from helper.telemetry import collect_telemetry from helper.upload_File import uploadFile from helper.button_behaviour import hide_button from helper.initialize_analyze_session import initialize_analyze_session from pymongo import MongoClient import json from helper.data_field import data_field from helper.upload_response import upload_response class SocialMedia: def __init__(self, model_url): self.file_dict = {} self.model_url = model_url #self.analyst_name = analyst_name #self.data_src = data_src #self.analyst_description = analyst_description self.initialize() self.row1() def initialize(self): # FOR ENV load_dotenv() # AGENT NAME #st.header(self.analyst_name) # EVALUATION FORM LINK ''' url = os.getenv('Link') st.write('Evaluation Form: [Link](%s)' % url) # RETURN BUTTON try: if st.button("Return", type='primary'): st.switch_page("./pages/home.py") except Exception: pass ''' if 'fb_upload' not in st.session_state: st.session_state['fb_upload'] = '' def request_model(self, payload_txt, headers): response = requests.post(self.model_url, json=payload_txt, headers=headers) response.raise_for_status() output = response.json() #st.write(output) text = output["outputs"][0]["outputs"][0]["results"]["text"]["data"]["text"] text = json.loads(text) #st.write(text) return text def terminate_session(self, session): try: del st.session_state[session] except KeyError: pass def fetch_data(self, data_field): mongodb_uri = os.getenv("MONGODB_URI") myclient = MongoClient(mongodb_uri) mydb = myclient.get_database() mycol = mydb["df_data"] # Sort by timestamp field in descending order x = mycol.find_one( {"data_field": data_field}, sort=[("timestamp", -1)] ) x = x["result"] return x def process(self): with st.spinner('Social Media Analyst...', show_time=True): st.write('') headers = {"Content-Type": "application/json", "x-api-key": f"{os.getenv('x_api_key')}"} try: payload_txt = {"input_value": self.payload, "output_type": "text", "input_type": "chat"} payload_txt_model = self.request_model(payload_txt, headers) debug_info = {'data_field' : 'Social Media Analyst', 'result': payload_txt_model} upload_response(debug_info) st.session_state['fb_upload'] = '' st.session_state['ig_upload'] = '' st.session_state['twitter_upload'] = '' st.session_state['youtube_upload'] = '' st.session_state['linkedin_upload'] = '' st.session_state['tiktok_upload'] = '' count = 0 except Exception as e: pass st.session_state['analyzing'] = False def row1(self): st.session_state['analyzing'] = False self.payload = "" self.payload += self.fetch_data("Facebook") self.payload += self.fetch_data("Instagram") self.payload += self.fetch_data("Twitter") self.payload += self.fetch_data("YouTube") self.payload += self.fetch_data("Linkedin") self.payload += self.fetch_data("Tiktok") summary = self.fetch_data("Client Summary") self.payload = summary + self.payload self.process() if __name__ == "__main__": st.set_page_config(layout="wide") upload = uploadFile()