Update app.py
Browse files
app.py
CHANGED
@@ -13,7 +13,7 @@ system_message = {
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# Function to reset the chat
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def reset_chat():
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return [], "New Chat"
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# Function to handle the questionnaire submission
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def submit_questionnaire(name, age, location, gender, ethnicity, height, weight,
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@@ -39,22 +39,6 @@ def submit_questionnaire(name, age, location, gender, ethnicity, height, weight,
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return "Thank you for completing the questionnaire!"
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# Function to collect responses to additional fashion-related questions
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def collect_questionnaire_responses(style_preference, color_palette, everyday_style):
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# Store additional responses in a DataFrame
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additional_data = {
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"Style Preference": style_preference,
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"Color Palette": color_palette,
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"Everyday Style": everyday_style
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}
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df = pd.DataFrame([additional_data]) # Create DataFrame from dictionary
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# Append to CSV file
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df.to_csv("additional_questionnaire_responses.csv", mode='a', header=not pd.io.common.file_exists("additional_questionnaire_responses.csv"), index=False)
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return "Thank you for answering the additional questions!"
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# Function to handle chat
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def chat(user_input, messages):
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if user_input:
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@@ -89,7 +73,7 @@ def chat(user_input, messages):
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# Gradio Interface
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with gr.Blocks() as demo:
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gr.Markdown("##
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# Sidebar for user inputs
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with gr.Row():
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@@ -103,7 +87,7 @@ with gr.Blocks() as demo:
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weight = gr.Number(label="Weight (kg)", value=70, minimum=20, maximum=200)
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with gr.Column():
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submit_btn = gr.Button("Submit
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reset_btn = gr.Button("Reset Chat")
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# Questionnaire with fashion-related questions
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color_palette = gr.Radio(label="What color palette do you wear often?", choices=["Neutrals", "Bright Colors", "Pastels", "Dark Shades"])
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everyday_style = gr.Radio(label="How would you describe your everyday style?", choices=["Relaxed", "Trendy", "Elegant", "Bold"])
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# Additional fashion-related questions
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fashion_questions = [
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("What do you prioritize when choosing an outfit?", ["Comfort", "Style", "Affordability", "Brand"]),
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("How often do you experiment with new trends?", ["Always", "Sometimes", "Rarely", "Never"]),
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("What kind of accessories do you usually wear?", ["Watches", "Rings", "Necklaces", "Bracelets", "Earrings"]),
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("Do you follow fashion trends?", ["Always", "Sometimes", "Never"]),
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("How satisfied are you with your wardrobe?", ["Yes", "No"]),
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("Do you consider your style unique?", ["Yes", "No"]),
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("How confident do you feel in your style?", ["Very Confident", "Somewhat Confident", "Not Confident"]),
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("Where do you look for fashion inspiration?", ["Social Media", "Fashion Magazines", "Friends", "Other"]),
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("Do you have specific attire for special occasions?", ["Yes", "No"]),
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("Do you wear gender-neutral clothing?", ["Yes", "No"]),
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("What influences your fashion choices the most?", ["Celebrities", "Social Media", "Friends", "Personal Preference"]),
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("Do you enjoy shopping for clothes?", ["Yes", "No"]),
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("How often do you declutter your wardrobe?", ["Regularly", "Occasionally", "Rarely"]),
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("Do you have a favorite fashion brand?", ["Yes", "No"]),
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("How do you feel about thrift shopping?", ["Love it", "Neutral", "Dislike it"]),
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]
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# Create a separate button for the questionnaire
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fill_questionnaire_btn = gr.Button("Fill Additional Questionnaire")
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# Adding additional questions
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additional_responses = []
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for question, choices in fashion_questions:
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additional_responses.append(gr.Radio(label=question, choices=choices))
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# Chat functionality
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chatbox = gr.Chatbot(type='messages')
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user_input = gr.Textbox(label="Your Message", placeholder="Type your message here...")
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# Connect the buttons to their respective functions
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style_preference, color_palette, everyday_style],
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outputs=gr.Textbox(label="Submission Response")
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)
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fill_questionnaire_btn.click(
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collect_questionnaire_responses,
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inputs=[style_preference, color_palette, everyday_style],
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outputs=gr.Textbox(label="Additional Questions Response")
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)
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# Corrected reset button output
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reset_btn.click(reset_chat, outputs=[chatbox, "title"])
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user_input.submit(chat, inputs=[user_input, chatbox], outputs=[chatbox, user_input])
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# Run the app
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# Function to reset the chat
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def reset_chat():
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return [], "New Chat" # Returns an empty chat history and a new title
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# Function to handle the questionnaire submission
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def submit_questionnaire(name, age, location, gender, ethnicity, height, weight,
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return "Thank you for completing the questionnaire!"
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# Function to handle chat
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def chat(user_input, messages):
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if user_input:
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# Gradio Interface
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with gr.Blocks() as demo:
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gr.Markdown("## Fashion Assistant Chatbot")
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# Sidebar for user inputs
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with gr.Row():
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weight = gr.Number(label="Weight (kg)", value=70, minimum=20, maximum=200)
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with gr.Column():
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submit_btn = gr.Button("Submit Questionnaire")
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reset_btn = gr.Button("Reset Chat")
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# Questionnaire with fashion-related questions
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color_palette = gr.Radio(label="What color palette do you wear often?", choices=["Neutrals", "Bright Colors", "Pastels", "Dark Shades"])
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everyday_style = gr.Radio(label="How would you describe your everyday style?", choices=["Relaxed", "Trendy", "Elegant", "Bold"])
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# Chat functionality
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chatbox = gr.Chatbot(type='messages')
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user_input = gr.Textbox(label="Your Message", placeholder="Type your message here...")
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# Connect the buttons to their respective functions
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output_message = gr.Textbox(label="Output Message") # Define an output component
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submit_btn.click(submit_questionnaire, inputs=[name, age, location, gender, ethnicity, height, weight,
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style_preference, color_palette, everyday_style], outputs=output_message)
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reset_btn.click(reset_chat, outputs=[chatbox, output_message]) # Corrected outputs
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user_input.submit(chat, inputs=[user_input, chatbox], outputs=[chatbox, user_input])
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# Run the app
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