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ibm-developer-skills-network
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wbphl-build_own_chatbot_without_open_ai
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wbphl-build_own_chatbot_without_open_ai
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server_exercise.py
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server_exercise.py
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import
logging
import
os
from
flask
import
Flask
,
render_template
,
request
,
jsonify
from
flask_cors
import
CORS
import
worker
# Import the worker module
# Initialize Flask app and CORS
app
=
Flask
(
__name__
)
cors
=
CORS
(
app
,
resources
=
{
r"/*"
: {
"origins"
:
"*"
}})
app
.
logger
.
setLevel
(
logging
.
ERROR
)
# Define the route for the index page
@
app
.
route
(
'/'
,
methods
=
[
'GET'
])
def
index
():
return
render_template
(
'index.html'
)
# Render the index.html template
# Define the route for processing messages
@
app
.
route
(
'/process-message'
,
methods
=
[
'POST'
])
def
process_message_route
():
# TODO: Extract the user's message from the request
# TODO: Process the user's message using the worker module
# TODO: Return the bot's response as JSON
# Define the route for processing documents
@
app
.
route
(
'/process-document'
,
methods
=
[
'POST'
])
def
process_document_route
():
# TODO: Check if a file was uploaded --> use if 'file' not in request file then return jsofify message and error code 400
# TODO: Save the uploaded file --> extracte the file with request
# TODO: Process the saved file --> create proper file_path for saving
# TODO: Send a response indicating that the document is ready for queries --> retrun jsonify message with code 200
# Run the Flask app (later you need to add "python main block" ==> if __name__ == "__main__":
app
.
run
(
debug
=
True
,
port
=
8000
,
host
=
'0.0.0.0'
)
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