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recodehive / Scrape-ML

For new data generation Semi-supervised-sequence-learning-Project we have writtern a python script to fetch📊, data from the 💻, imdb website 🌐 and converted into txt files.
https://scrape-ml.streamlit.app/
MIT License
85 stars 116 forks source link

Bug : Script execution error 1_Movie_Analysis.py #200

Closed srilekha279 closed 1 month ago

srilekha279 commented 2 months ago

When I tried to open the link of the webpage https://scrape-ml.streamlit.app/Movie_Analysis, I got the following error : 

File "/mount/src/scrape-ml/Web_app/pages/1_Movie_Analysis.py", line 93
              try:
             ^
IndentationError: unexpected indent

Please assign me this issue to correct the error.

github-actions[bot] commented 2 months ago

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srilekha279 commented 2 months ago

@sanjay-kv Even after fixing the indentation error, I found these errors:

One of them is : Using return statement outside the function. Temporarily, I commented out these lines as shown(lines 93 to 97 in the mentioned file) : 

try:
        pass
        # return pd.read_csv(uploaded_file, encoding='latin1')
except UnicodeDecodeError:
        st.error("File encoding not supported. Please upload a CSV file with UTF-8 or Latin1 encoding.")
        # return None

After running the code again, I got this error :

ImportError: cannot import name 'analyze_reviews' from 'utils'
File "C:\Users\DELL\AppData\Local\Programs\Python\Python310\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 589, in _run_script
    exec(code, module.__dict__)
File "E:\Git\recode-hive-scrape-ml\Scrape-ML\Web_app\pages\1_Movie_Analysis.py", line 3, in <module>
    from utils import analyze_reviews, recommend_movies

It shows that analyze_reviews.py and recommend_movies.py files are not present in utils directory.

Please tell me what should I do now. Will you accept my pull request after resolving indentation error as we should choose only a small topic to create an issue?

github-actions[bot] commented 1 month ago

This issue has been automatically closed because it has been inactive for more than 30 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you!