I'm trying to hit localhost 8000 but it doesn't seem to respond.
See if you can spot the error in the media ?
The server doesn't seem to be running after the docker image is made . Need help ASAP

I followed these steps

Running the application

1. Download the trained model and put into the server/main folder
   (Note: This is the CNN model. if you want use the LSTM model, you'll need to follow the training steps below and put the saved model in server/main. Also, don't forget to change the loaded model name in server/main/init.py )

2. Get your Twitter API credentials through Keys and Tokens tab under the Twitter Developer Portal Projects & Apps page and add them to the /server/main/config.py file.

3. Run docker-compose up --build in the terminal from the root folder
   (Note: Ensure that you have Docker installed)

4. Open http://localhost:5000 in your browser to access the app

as shown in the screenshot .. it is not able to get summary of the keyword searched via the wikipedia api

I liked your project and your ideas, but for some reason its not working.

error load model, please help

After runing install all the npm and python requirements,using python manage.py runserver to run the server the analysis work for maximum of 2-3 times and after that it stops working ..and that too is completely random .
the only error it shows is some sort of Error: manifest.json not found
if somebody is willing to help ..pls do help me out

Hi there. Nice repo.
I successfully built and ran your code locally with the help of docker-ce and npm.I would soon pull your repo and help rewrite the install procedures. In the meantime, please could you suggest the reason why after typing a tweet query in the input box, the app continues a a looped condition or interface without going forward.

and

Please kindly advise...

HELLO MY NAME IS RITAM

I REALLY LOVE YOUR PROJECT AND WANT TO IMPROVE UPON IT FOR ONE OF MY COLLEGE PROJECTS, IT WOULD BE HELPFUL IF YOU COULD TELL ME HOW AND WHERE TO SETUP THE TWITTER API AND ANY OTHER API IF NEEDED.

THANK YOU

[2022-11-23 20:32:50 +0000] [9] [ERROR] Error handling request /analyzehashtag?text=elon
twitter-sentiment-analysis-web-app-server-1 | Traceback (most recent call last):
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/gunicorn/workers/sync.py", line 134, in handle
twitter-sentiment-analysis-web-app-server-1 | self.handle_request(listener, req, client, addr)
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/gunicorn/workers/sync.py", line 175, in handle_request
twitter-sentiment-analysis-web-app-server-1 | respiter = self.wsgi(environ, resp.start_response)
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask/app.py", line 2464, in call
twitter-sentiment-analysis-web-app-server-1 | return self.wsgi_app(environ, start_response)
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask/app.py", line 2450, in wsgi_app
twitter-sentiment-analysis-web-app-server-1 | response = self.handle_exception(e)
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask_cors/extension.py", line 165, in wrapped_function
twitter-sentiment-analysis-web-app-server-1 | return cors_after_request(app.make_response(f(*args, **kwargs)))
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask/app.py", line 1867, in handle_exception
twitter-sentiment-analysis-web-app-server-1 | reraise(exc_type, exc_value, tb)
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask/_compat.py", line 39, in reraise
twitter-sentiment-analysis-web-app-server-1 | raise value
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask/app.py", line 2447, in wsgi_app
twitter-sentiment-analysis-web-app-server-1 | response = self.full_dispatch_request()
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask/app.py", line 1952, in full_dispatch_request
twitter-sentiment-analysis-web-app-server-1 | rv = self.handle_user_exception(e)
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask_cors/extension.py", line 165, in wrapped_function
twitter-sentiment-analysis-web-app-server-1 | return cors_after_request(app.make_response(f(*args, **kwargs)))
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask/app.py", line 1821, in handle_user_exception
twitter-sentiment-analysis-web-app-server-1 | reraise(exc_type, exc_value, tb)
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask/_compat.py", line 39, in reraise
twitter-sentiment-analysis-web-app-server-1 | raise value
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask/app.py", line 1950, in full_dispatch_request
twitter-sentiment-analysis-web-app-server-1 | rv = self.dispatch_request()
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/flask/app.py", line 1936, in dispatch_request
twitter-sentiment-analysis-web-app-server-1 | return self.view_functionsrule.endpoint
twitter-sentiment-analysis-web-app-server-1 | File "/app/main/init.py", line 77, in analyzehashtag
twitter-sentiment-analysis-web-app-server-1 | for tweet in tweepy.Cursor(api.search,q="#" + request.args.get("text") + " -filter:retweets",rpp=5,lang="en", tweet_mode='extended').items(100):
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/tweepy/cursor.py", line 49, in next
twitter-sentiment-analysis-web-app-server-1 | return self.next()
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/tweepy/cursor.py", line 197, in next
twitter-sentiment-analysis-web-app-server-1 | self.current_page = self.page_iterator.next()
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/tweepy/cursor.py", line 108, in next
twitter-sentiment-analysis-web-app-server-1 | data = self.method(max_id=self.max_id, parser=RawParser(), *self.args, **self.kargs)
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/tweepy/binder.py", line 250, in _call
twitter-sentiment-analysis-web-app-server-1 | return method.execute()
twitter-sentiment-analysis-web-app-server-1 | File "/opt/venv/lib/python3.6/site-packages/tweepy/binder.py", line 234, in execute
twitter-sentiment-analysis-web-app-server-1 | raise TweepError(error_msg, resp, api_code=api_error_code)
twitter-sentiment-analysis-web-app-server-1 | tweepy.error.TweepError: Twitter error response: status code = 403
twitter-sentiment-analysis-web-app-server-1 | 172.18.0.1 - - [23/Nov/2022:20:32:50 +0000] "GET /analyzehashtag?text=elon HTTP/1.1" 500 0 "-" "-"

File 'main_app/Sentiment_LSTM_model.h5' is just 1KB after cloning. How can I get the complete trained model ?