# Upload 'movies.txt$\text{'}$

file$\_$path $=$ 'movies.txt$\text{'}$

# Open the file in read mode $(\text{'}$r$\text{'})$

with open$($file$\_$path, $\text{'}$r$\text{'})$ as file:

# Read the content of the file

content $=$ file.read$()$

# Now you can work with the content of the file

print$($content$)$

def find$\_$similar$\_$movies$($description$)$:

# Step $1$: Extract key themes from the description

themes $=$ extract$\_$themes$($description$)$

# Step $2$: Search for movies with similar themes

similar$\_$movies $=$ search$\_$movies$($themes$)$

# Step $3$: Return the titlesMovie A :When Hiccup discovers Toothless isn't the only Night Fury, he must seek "The Hidden World", a secret Dragon Utopia before a hired tyrant named Grimmel finds it first.

Movie B :After the death of Superman, several new people present themselves as possible successors.

wake up$.$

Movie D :A humorous take on Sir Arthur Conan Doyle's classic mysteries featuring Sherlock Holmes and Doctor Watson.

Movie E :A $16-$year$-$old girl and her extended family are left reeling after her calculating grandmother unveils an array of secrets on her deathbed.

escape from.

Movie $G$ : The world at an end, a dying mother sends her young son on a quest to find the place that grants wishes.

Movie H:A musician helps a young singer and actress find fame, even as age and alcoholism send his own career into a downward spiral.

Movie I :Corporate analyst and single mom, Jen, tackles Christmas with a business$-$like approach until her uncle arrives with a handsome stranger in tow.

Movie J :Adapted from the bestselling novel by Madeleine St John, Ladies in Black is an alluring and tender$-$hearted comedy drama about the lives of a group of department store employees in $1959$ Sydney. of similar movies

return similar$\_$movies

def extract$\_$themes$($description$)$:

# Placeholder for NLP analysis to extract themes

# This could involve keyword extraction, sentiment analysis, etc.

# For simplicity, let's assume we extract the following themes from "Planet Hulk"

return $[\text{'}$space$\text{'},$ 'gladiator', 'slavery', 'superhero'$]$

def search$\_$movies$($themes$)$:

# Placeholder for a search algorithm to find similar movies

# This could involve querying a database or using a similarity model

# For simplicity, let's assume we find the following similar movies

return $[\text{'}$Thor: Ragnarok', 'Guardians of the Galaxy', 'Gladiator'$]$

# Example usage

description $=$ "Will he save their world or destroy it$?$ When the Hulk becomes too dangerous for the Earth, the Illuminati trick Hulk into a shuttle and launch him into space to a planet where the Hulk can live in peace. Unfortunately, Hulk lands on the planet Sakaar, where he is sold into slavery and trained as a gladiator."

similar$\_$movies $=$ find$\_$similar$\_$movies$($description$)$

print$($similar$\_$movies$)$

I wrote the code above but there is an error stating 'with open$($file$\_$path, $\text{'}$r$\text{'})$ as file: FileNotFoundError: $[$Errno $2]$ No such file or directory: 'movies.txt$\text{'}$ Can someone help with this Python script please?