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Update app.py
Browse files
app.py
CHANGED
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@@ -11,6 +11,10 @@ client = OpenAI(
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project=os.getenv('PROJ_KEY')
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)
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#need to give info on how to convert to CSV
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title = "Automated Research Code Tagger"
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description = """
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@@ -83,20 +87,57 @@ def process_quotes(quotes_file_path, quotes_col_name, tags_string):
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quotes_data = quotes_df[quotes_col_name]
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quotes_df['Tags'] = quotes_data.apply(tag_quote, args=(tags_list,))
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return quotes_df[[quotes_col_name, 'Tags']]
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inputs=[
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gr.
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gr.Textbox(label="
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gr.Textbox(label = "List of tags separated by commas")
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],
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outputs=
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title=
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description=
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demo.launch()
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# For later when I enable usage of own API key
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# api_key = gr.Textbox(
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project=os.getenv('PROJ_KEY')
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)
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# Static Username and Password
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VALID_USERNAME = "tft@perceptech.ai"
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VALID_PASSWORD = "Perceptech@2024!"
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#need to give info on how to convert to CSV
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title = "Automated Research Code Tagger"
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description = """
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quotes_data = quotes_df[quotes_col_name]
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quotes_df['Tags'] = quotes_data.apply(tag_quote, args=(tags_list,))
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return quotes_df[[quotes_col_name, 'Tags']]
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def authenticate(username, password):
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"""Authenticate the user using static username and password"""
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if username == VALID_USERNAME and password == VALID_PASSWORD:
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return True
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else:
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return False
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def auth_interface(username, password):
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"""Handle the authentication and proceed with the main function if valid"""
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if authenticate(username, password):
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return gr.Interface(
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fn=process_quotes,
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inputs=[
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gr.File(label="Quotes Excel File"), # File as generated by TFT software
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gr.Textbox(label="Name of quotes column"), # use this to identify the col with the quotes
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gr.Textbox(label="List of tags separated by commas")
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],
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outputs=gr.Dataframe(headers=["Quote", "Tags"], column_widths=["70%", "30%"], scale=2),
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title=title,
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description=description
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).launch()
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else:
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return "Invalid username or password!"
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# Create the authentication fields before launching the main app
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auth_app = gr.Interface(
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fn=auth_interface,
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inputs=[
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gr.Textbox(label="Username", type="text"),
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gr.Textbox(label="Password", type="password")
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],
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outputs="text",
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title="Login to Automated Research Code Tagger",
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description="Please enter the correct username and password to access the tool."
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)
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auth_app.launch()
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# demo = gr.Interface(
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# fn=process_quotes,
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# inputs=[
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# gr.File(label="Quotes Excel File"), # File as generated by TFT software
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# gr.Textbox(label="Name of quotes column"), # use this to identify the col with the quotes
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# gr.Textbox(label = "List of tags separated by commas")
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# ],
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# outputs=gr.Dataframe(headers=["Quote", "Tags"], column_widths=["70%", "30%"], scale=2),
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# title=title,
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# description=description
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# )
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# demo.launch()
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# For later when I enable usage of own API key
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# api_key = gr.Textbox(
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