Update app.py
Browse files
app.py
CHANGED
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@@ -1,7 +1,6 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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# SPOTIFY EMBED
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spotify_embed = """
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<iframe data-testid="embed-iframe"
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style="border-radius:12px"
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@@ -15,10 +14,8 @@ clipboard-write;
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encrypted-media;
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fullscreen;
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picture-in-picture"
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loading="lazy"></iframe>
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"""
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# THEME
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theme = gr.themes.Soft().set(
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body_background_fill="#fff7fb",
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@@ -45,16 +42,12 @@ theme = gr.themes.Soft().set(
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link_text_color="#c77dff"
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)
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with open("knowledge.txt", "r", encoding="utf-8") as f:
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knowledge_base = f.read()
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# MODEL
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client = InferenceClient("Qwen/Qwen2.5-7B-Instruct")
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# SYSTEM PROMPTS
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SYSTEM_MESSAGES = {
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"wellness": (
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"You are a kind wellness chatbot. "
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"Give practical, supportive, and thoughtful advice "
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@@ -69,18 +62,39 @@ SYSTEM_MESSAGES = {
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}
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# RESPONSE FUNCTION
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def respond(message, history, mode):
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# NO MODE SELECTED
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if mode is None:
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yield (
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"Please select a mode first using the buttons above.",
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mode
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)
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return
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messages = [
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{
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"role": "system",
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}
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]
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# HISTORY
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if history:
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messages.extend(history)
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# USER MESSAGE
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messages.append({
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})
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response = ""
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# STREAM RESPONSE
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for chunk in client.chat_completion(
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messages=messages,
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max_tokens=1024,
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stream=True,
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):
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token = chunk.choices[0].delta.content or ""
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if token:
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response += token
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yield response, mode
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# UI
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with gr.Blocks(theme=theme) as demo:
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# MODE STATE
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mode_state = gr.State(None)
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gr.Image(
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"Website Banner.png",
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show_label=False,
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container=False
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)
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# TITLE
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gr.Markdown("# ***Wellness and Storytelling ChatBot***")
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gr.Markdown(
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"DISCLAIMER: While signing, please spell out individual letters in ASL instead of the distinct signs
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"Choose a mode
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)
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# BUTTONS
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with gr.Row():
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wellness_btn = gr.Button(
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"🌿 Wellness",
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variant="primary"
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)
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story_btn = gr.Button(
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"📖 Story",
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variant="secondary"
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)
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# CHAT INTERFACE
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chatbot = gr.ChatInterface(
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fn=respond,
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additional_inputs=[mode_state],
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additional_outputs=[mode_state]
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)
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# BUTTON ACTIONS
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wellness_btn.click(
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fn=lambda: (
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[
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{
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"role": "assistant",
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"content": "🌿 Wellness mode activated!"
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}
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],
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"wellness"
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),
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outputs=[chatbot.chatbot, mode_state]
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)
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story_btn.click(
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fn=lambda: (
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[
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{
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"role": "assistant",
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"content": "📖 Story mode activated!"
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}
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],
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"story"
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),
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outputs=[chatbot.chatbot, mode_state]
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)
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# MUSIC SECTION
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gr.Markdown("### 🎵 Music We Listened To While Building This")
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gr.HTML(spotify_embed)
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# LAUNCH
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demo.launch(debug=True)
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import gradio as gr
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from huggingface_hub import InferenceClient
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spotify_embed = """
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<iframe data-testid="embed-iframe"
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style="border-radius:12px"
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encrypted-media;
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fullscreen;
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picture-in-picture"
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loading="lazy"></iframe>"""
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theme = gr.themes.Soft().set(
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body_background_fill="#fff7fb",
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link_text_color="#c77dff"
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)
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with open("knowledge.txt" , "r", encoding="utf-8") as f:
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knowledge_base = f.read()
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client = InferenceClient("Qwen/Qwen2.5-7B-Instruct")
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SYSTEM_MESSAGES = {
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"wellness": (
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"You are a kind wellness chatbot. "
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"Give practical, supportive, and thoughtful advice "
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}
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def respond(message, history, mode):
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if mode is None:
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user_choice = message.lower().strip()
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if user_choice in ["wellness", "wellness mode"]:
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mode = "wellness"
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yield (
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"🌿 Wellness mode activated!\n\n"
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"Tell me what's on your mind.",
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mode
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)
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return
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if user_choice in ["story", "storytelling", "creative"]: #changed elif to if to let the user change choices anytime
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mode = "story"
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yield (
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"📖 Creative Storytelling mode activated!\n\n"
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"Give me a story idea!",
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mode
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)
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return
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else:
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yield (
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"Hi! How can I help you today?\n\n"
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"• wellness\n"
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"• story",
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mode
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)
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return
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messages = [
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{
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"role": "system",
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}
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]
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if history:
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messages.extend(history)
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messages.append({
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"role": "user",
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"content": message
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})
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response = ""
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for chunk in client.chat_completion(
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messages=messages,
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max_tokens=1024,
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stream=True,
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):
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token = chunk.choices[0].delta.content or ""
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if token:
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response += token
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yield response, mode
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with gr.Blocks(theme=theme) as demo:
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mode_state = gr.State(None)
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gr.Image("Website Banner.png", show_label=False, container=False)
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gr.Markdown("# ***Wellness and Storytelling ChatBot***")
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gr.Markdown(
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"DISCLAIMER: While signing, please spell out individual letters in ASL instead of the distinct signs \n\n"
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"Choose a mode by typing:\n\n"
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"- `wellness`\n"
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"- `story`"
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)
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chatbot = gr.ChatInterface(
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fn=respond,
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additional_inputs=[mode_state],
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additional_outputs=[mode_state],
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)
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gr.Markdown("### 🎵 Music We Listened To While Building This")
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gr.HTML(spotify_embed)
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demo.launch(debug=True)
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