Vlad Bastina commited on
Commit
cda2b3f
·
1 Parent(s): 068665b

style css

Browse files
__pycache__/gemini_call.cpython-312.pyc CHANGED
Binary files a/__pycache__/gemini_call.cpython-312.pyc and b/__pycache__/gemini_call.cpython-312.pyc differ
 
__pycache__/sentiment_analysis.cpython-312.pyc CHANGED
Binary files a/__pycache__/sentiment_analysis.cpython-312.pyc and b/__pycache__/sentiment_analysis.cpython-312.pyc differ
 
__pycache__/translation.cpython-312.pyc CHANGED
Binary files a/__pycache__/translation.cpython-312.pyc and b/__pycache__/translation.cpython-312.pyc differ
 
streamlit_app.py CHANGED
@@ -6,6 +6,21 @@ from sentiment_analysis import get_analysis
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  from PIL import Image
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  import os
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  import json
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  os.environ['GOOGLE_API_KEY'] = st.secrets['GOOGLE_API_KEY']
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  google_credentials_json = json.dumps(dict(st.secrets["GOOGLE_APPLICATION_CREDENTIALS"]))
@@ -87,4 +102,4 @@ def main():
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  time.sleep(0.1)
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  if __name__ == "__main__":
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- main()
 
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  from PIL import Image
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  import os
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  import json
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+ from pathlib import Path
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+
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+ def load_css(file_name):
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+ """Loads a CSS file and injects it into the Streamlit app."""
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+ try:
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+ css_path = Path(__file__).parent / file_name
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+ with open(css_path) as f:
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+ st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True)
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+ # st.info(f"Loaded CSS: {file_name}") # Optional: uncomment for debugging
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+ except FileNotFoundError:
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+ st.error(f"CSS file not found: {file_name}. Make sure it's in the same directory as app.py.")
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+ except Exception as e:
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+ st.error(f"Error loading CSS file {file_name}: {e}")
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+
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+ load_css("style.css")
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  os.environ['GOOGLE_API_KEY'] = st.secrets['GOOGLE_API_KEY']
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  google_credentials_json = json.dumps(dict(st.secrets["GOOGLE_APPLICATION_CREDENTIALS"]))
 
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  time.sleep(0.1)
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  if __name__ == "__main__":
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+ main()
style.css ADDED
File without changes
translation.py CHANGED
@@ -64,4 +64,4 @@ if __name__=="__main__":
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  output_path = "audio_mono.wav"
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  convert_to_mono(file_path,output_path)
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  final_transcript = transcribe_audio(output_path)
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- print(final_transcript)
 
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  output_path = "audio_mono.wav"
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  convert_to_mono(file_path,output_path)
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  final_transcript = transcribe_audio(output_path)
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+ print(final_transcript)