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fb0a511 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 | import streamlit as st
from dotenv import load_dotenv
from helper.telemetry import collect_telemetry
from helper.upload_File import uploadFile
from helper.button_behaviour import hide_button
class Amazon:
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 'product_title_amazon' not in st.session_state:
st.session_state['product_title_amazon'] = ''
if 'images_amazon' not in st.session_state:
st.session_state['images_amazon'] = ''
if 'bullet_points_amazon' not in st.session_state:
st.session_state['bullet_points_amazon'] = ''
if 'product_description_amazon' not in st.session_state:
st.session_state['product_description_amazon'] = ''
def process(self):
session = st.session_state.analyze
if (self.product_title_amazon or self.images_amazon or self.bullet_points_amazon or self.product_description_amazon) and session == 'clicked':
try:
product_title_amazon = ""
images_amazon = ""
bullet_points_amazon = ""
product_description_amazon = ""
with st.spinner('Aamzon...', show_time=True):
st.write('')
# INITIALIZING SESSIONS
#combined_text += f"Client Summary: {st.session_state.nature}\n"
try:
product_title_amazon += f"\nProduct Title: {self.product_title_amazon}"
except KeyError:
pass
try:
images_amazon += f"\nImages: {self.images_amazon}"
except KeyError:
pass
try:
bullet_points_amazon += f"\nBullet Points: {self.bullet_points_amazon}"
except KeyError:
pass
try:
product_description_amazon += f"\nProduct Description: {self.product_description_amazon}"
except KeyError:
pass
# OUTPUT FOR SEO ANALYST
#payload_txt = {"question": combined_text}
#result = self.request_model(payload_txt)
#end_time = time.time()
#time_lapsed = end_time - start_time
debug_info_product_title_amazon = {'data_field' : 'Product Title - Amazon', 'result': self.product_title_amazon}
debug_info_images_amazon = {'data_field' : 'Images - Amazon', 'result': self.images_amazon}
debug_info_bullet_points_amazon = {'data_field' : 'Bullet Points - Amazon', 'result': self.bullet_points_amazon}
debug_product_description_amazon = {'data_field' : 'Product Description - Amazon', 'result': self.product_description_amazon}
'''
debug_info = {
#'analyst': self.analyst_name,
'url_uuid': self.model_url.split("-")[-1],
'time_lapsed': time_lapsed,
'payload': payload_txt,
'result': result,
}
'''
if self.product_title_amazon:
st.session_state['product_title_amazon'] = 'uploaded'
collect_telemetry(debug_info_product_title_amazon)
if self.images_amazon:
st.session_state['images_amazon'] = 'uploaded'
collect_telemetry(debug_info_images_amazon)
if self.bullet_points_amazon:
st.session_state['bullet_points_amazon'] = 'uploaded'
collect_telemetry(debug_info_bullet_points_amazon)
if self.product_description_amazon:
st.session_state['product_description_amazon'] = 'uploaded'
collect_telemetry(debug_product_description_amazon)
st.session_state['analyzing'] = False
except AttributeError:
st.info("Please upload CSV or PDF files first.")
hide_button()
def row1(self):
self.product_title_amazon = st.text_input("Product Title - Amazon:", placeholder='Enter Product Title')
self.images_amazon = st.text_input("Images - Amazon:", placeholder='Enter Images')
self.bullet_points_amazon = st.text_input("Bullet Points - Amazon:", placeholder='Enter Bullet Points')
self.product_description_amazon = st.text_input("Product Description - Amazon:", placeholder='Enter Product Description')
self.process()
if __name__ == "__main__":
st.set_page_config(layout="wide")
upload = uploadFile()
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