update

Signed-off-by: Vivek jha <[email protected]>

app.py

@@ -2,12 +2,14 @@
 import streamlit as st
 import numpy as np
 import tensorflow as tf
-from tensorflow.keras.models import load_model
+from keras.models import load_model
 from tensorflow.keras.preprocessing.sequence import pad_sequences
 import pickle
+import os
+print("Current working directory:", os.getcwd())
 
 # Load the model, tokenizer, and label encoder
-model = load_model('chatbot_model.h5')
+model = load_model('/workspaces/OptimalYou-Chat/chatbot_model.h5')
 
 with open('tokenizer.pickle', 'rb') as handle:
     tokenizer = pickle.load(handle)

docker-compose.yml

@@ -12,4 +12,4 @@ services:
       if [ -f /workspace/requirements.txt ]; then pip install --user -r /workspace/requirements.txt; fi;
       pip install --user streamlit;
       export PATH=\$PATH:/root/.local/bin;
-      streamlit run /workspace/application.py --server.enableCORS false --server.enableXsrfProtection false"
+      streamlit run /workspace/app.py --server.enableCORS false --server.enableXsrfProtection false"

req.txt

@@ -1,4 +1 @@
-flask
-google-cloud-vertex-ai
-pandas
-transformers
+

requirements.txt

@@ -30,4 +30,7 @@ python-engineio==4.9.0
 python-socketio==5.11.1
 streamlit==1.33.0
 toml==0.10.2
-vertexai==1.49.0
+vertexai==1.49.0
+flask
+transformers
+tensorflow