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Browse files- app.py +190 -0
- requirements.txt +3 -0
app.py
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import gradio as gr
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import re
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import time
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from dotenv import load_dotenv
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import os
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from openai import OpenAI
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# π Load API Key from .env
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load_dotenv()
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api_key = os.getenv("OPENAI_API_KEY")
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client = OpenAI(api_key=api_key)
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def extract_keywords(paragraph):
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prompt = f"""
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+
You are an expert in experiential event planning.
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Extract 5-0 short, specific, and thematic keywords or concepts from the event description below. These will be used to inspire immersive, tech-powered event ideas.
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Each keyword should be 2-4 words long and describe a concrete idea or theme (e.g., "AR photo booths", "smart vending", "interactive storytelling").
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Event Description:
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"{paragraph}"
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Return the keywords as a comma-separated list.
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"""
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response = client.chat.completions.create(
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model="gpt-4",
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messages=[{"role": "user", "content": prompt}],
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temperature=0.7,
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max_tokens=200
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)
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keywords_raw = response.choices[0].message.content
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keywords = re.split(r'[,\n]', keywords_raw)
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return [kw.strip() for kw in keywords if kw.strip()]
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def extract_keywords_from_title_and_link(title, link):
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prompt = f"""
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You are an expert in event innovation.
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Given the title and link below, extract 3β5 short, specific, and meaningful keywords or themes (2β4 words each) that describe what the page is about.
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Title: {title}
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Link: {link}
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Return the keywords as a comma-separated list.
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"""
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response = client.chat.completions.create(
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model="gpt-4",
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messages=[{"role": "user", "content": prompt}],
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temperature=0.6,
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max_tokens=150
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)
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raw = response.choices[0].message.content
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return [kw.strip() for kw in re.split(r'[,\n]', raw) if kw.strip()]
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def search_similar_events_and_products_openai(keywords):
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input_text = f"Generate 10 useful URLs for experiential event ideas or iBoothMe.com inspiration related to the keywords: {', '.join(keywords)}"
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try:
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print("π Using OpenAI web search tool...")
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response = client.responses.create(
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model="gpt-4.1",
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tools=[{"type": "web_search_preview"}],
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input=input_text
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)
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content = response.output_text
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results = []
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for line in content.strip().split("\n"):
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if "http" in line:
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parts = line.split(" - ", 1)
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if len(parts) == 2:
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results.append((parts[0].strip(), parts[1].strip()))
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else:
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url = line.strip()
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results.append((url, url))
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return results[:10]
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except Exception as e:
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print(f"Search failed: {e}")
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return []
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def generate_event_ideas(paragraph, search_links):
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search_summary = "\n".join([f"- {title}: {url}" for title, url in search_links])
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prompt = f"""
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You are an expert event strategist for iBoothMe, a company offering creative experiences like AI photo booths, smart vending machines, audio booths, personalization stations, and immersive visual storytelling.
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Based on the event description below, generate 6-7 **unique and diverse** iBoothMe-powered event ideas.
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**Event Description:**
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{paragraph}
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**Inspiration from Related Ideas:**
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{search_summary}
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π‘ **Your Task:**
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Create ideas that are immersive, memorable, and creatively use iBoothMe's **photo, video, and audio**-based technologies. Do **not** use AR, VR, projection mapping, or other tech-heavy elements.
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You can optionally include:
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- Studio Ghibli-inspired visuals **(in just one idea)**
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- Personalized giveaways (e.g., Labibu dolls, custom t-shirts, stickers)
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- Audio booths, video diaries, face filters, sound remixes, or creative vending
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β Important:
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- Avoid using AR, VR, holograms, or projection domes
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- Donβt repeat formats like photo booths
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- Every idea should have a **creative title** and a **detailed explanation** of how iBoothMe enhances the experience
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Return only the final ideas in markdown format.
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"""
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response = client.chat.completions.create(
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model="gpt-4",
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messages=[{"role": "user", "content": prompt}],
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temperature=0.95,
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max_tokens=1000
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)
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return response.choices[0].message.content
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def main_workflow(paragraph):
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print("π Started workflow")
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if not paragraph.strip():
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return "β Please enter an event description."
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print("π Extracting keywords from paragraph...")
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base_keywords = extract_keywords(paragraph)
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print("π Searching using OpenAI tool...")
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links = search_similar_events_and_products_openai(base_keywords)
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print("π Extracting extra keywords from titles and links...")
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link_keywords = []
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for title, url in links:
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link_keywords.extend(extract_keywords_from_title_and_link(title, url))
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all_keywords = sorted(set(base_keywords + link_keywords))
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print("π§ Generating ideas...")
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ideas = generate_event_ideas(paragraph, links)
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keyword_summaries = []
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for kw in all_keywords[:10]:
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try:
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response = client.chat.completions.create(
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model="gpt-4",
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messages=[{"role": "user", "content": f"Give a short one-line event idea description using the keyword: {kw}"}],
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temperature=0.6,
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max_tokens=60
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)
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description = response.choices[0].message.content.strip()
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keyword_summaries.append(f"- **{kw.title()}**: {description}")
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except:
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keyword_summaries.append(f"- **{kw.title()}**")
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formatted_links = "\n".join(keyword_summaries)
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return f"""
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π **Relevant Ideas:**
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{formatted_links}
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π‘ **Event Concepts Based on iBoothMe:**
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{ideas}
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"""
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# π¨ Gradio UI
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with gr.Blocks(title="iBoothMe Event Ideation App") as demo:
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gr.Markdown("## π iBoothMe Event Idea Generator\nDescribe your event goal and receive 6β7 interactive, tech-powered ideas!")
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paragraph = gr.Textbox(label="π Describe Your Event (e.g. Women's Day, Product Launch)", lines=4)
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submit_btn = gr.Button("π Generate Event Concepts")
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output = gr.Markdown()
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submit_btn.click(
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fn=main_workflow,
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inputs=[paragraph],
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outputs=output,
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show_progress=True
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)
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demo.launch(inline=False,share=True)
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requirements.txt
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
gradio
|
| 2 |
+
openai
|
| 3 |
+
python-dotenv
|