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Upload 6 files
Browse files- src/chat.txt +0 -0
- src/extract_features.py +72 -0
- src/generate_jokes.py +153 -0
- src/requirements.txt +3 -0
- src/sarah_about.txt +14 -0
- src/streamlit_app.py +133 -40
src/chat.txt
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src/extract_features.py
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import re
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import random
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from collections import Counter, defaultdict
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def parse_chat(file_path):
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pattern = r"(\d{1,2}/\d{1,2}/\d{2,4}), (\d{1,2}:\d{2}) - ([^:]+): (.*)"
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messages = []
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with open(file_path, "r", encoding="utf-8") as f:
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for line in f:
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match = re.match(pattern, line)
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if match:
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date, time, sender, text = match.groups()
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# Normalize names
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if sender == "ak":
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sender = "Aman"
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elif sender == "Sarah con H":
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sender = "Sarah"
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messages.append({
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"date": date,
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"time": time,
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"sender": sender,
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"text": text.strip()
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})
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return messages
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def extract_inside_jokes(messages):
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funny_candidates = []
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cute_candidates = []
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memory_candidates = []
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phrase_counter = Counter()
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funny_keywords = ["lol", "π", "π€£", "lmao", "funny", "haha", "hehe","hahaha"]
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cute_keywords = ["miss", "thank", "sweet", "cute", "proud", "happy","aww","glad"]
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for msg in messages:
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text = msg["text"].lower()
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# Funny moments
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if any(k in text for k in funny_keywords):
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funny_candidates.append(msg["text"])
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# Cute/emotional moments
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if any(k in text for k in cute_keywords):
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cute_candidates.append(msg["text"])
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# Memorable random moments
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if len(msg["text"].split()) > 4: # skip too short
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memory_candidates.append(msg["text"])
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# Count repeated words
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phrase_counter.update(text.split())
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top_words = [w for w, c in phrase_counter.most_common(40)]
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return {
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"funny": funny_candidates,
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"cute": cute_candidates,
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"memories": memory_candidates,
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"top_words": top_words
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}
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def random_memory(messages):
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"""Returns a random meaningful moment."""
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long_messages = [m["text"] for m in messages if len(m["text"]) > 10]
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if not long_messages:
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return "One of your old conversations β€οΈ"
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return random.choice(long_messages)
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src/generate_jokes.py
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import json
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import random
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from openai import OpenAI
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import os
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from dotenv import load_dotenv
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from extract_features import parse_chat, extract_inside_jokes, random_memory
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# Load environment variables
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load_dotenv()
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def generate_inside_jokes(count=3):
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# Configure Groq API
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client = OpenAI(
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api_key=os.environ.get("GROQ_API_KEY"),
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base_url="https://api.groq.com/openai/v1",
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)
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messages = parse_chat("chat.txt")
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data = extract_inside_jokes(messages)
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# meaningful memory for Sarah
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random_real_memory = select_meaningful_memory(messages, client)
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prompt = f"""
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You are a comedian whoose task is to generate funny inside jokes for two best friends: Aman and Sarah.
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They have a very close, playful, supportive and affectionate friendship.
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Here is the context from their WhatsApp chats:
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Funny lines they've said:
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{json.dumps(data['funny'][:30], indent=2)}
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Cute moments between them:
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{json.dumps(data['cute'][:20], indent=2)}
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Shared vocabulary & patterns:
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{json.dumps(data['top_words'][:20], indent=2)}
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One real memory to set the mood:
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"{random_real_memory}"
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Your Goal:
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Generate {count} ORIGINAL inside jokes that sound exactly like something they would say to each other.
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The jokes should be a mix of funny, teasing, and heartfelt(more of funny).
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Guidelines:
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1. **Be Human**: Use casual language, slang (if fits their vibe), and natural phrasing. Avoid robotic or stiff sentence structures.
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2. **Show, Don't Tell**: Instead of saying "You are funny," say "Remember that time you tried to tell a joke and choked on water? Classic."
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3. **Mix Humor and Heart**: The best inside jokes often come from a place of love. "Fries before guys" is funny but also shows loyalty.
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4. **Use Context**: Reference their shared vocabulary or specific funny/cute moments provided above.
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5. **Be creative**: The best inside jokes often come from a place of love. "Fries before guys" is funny but also shows loyalty.
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6. Try to make atleast one line jokes
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Output Format:
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INSIDE JOKES:
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1. [Joke/Phrase]
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2. [Joke/Phrase]
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...
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MEMORY FOR SARAH:
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"{random_real_memory}"
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"""
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response = client.chat.completions.create(
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model="llama-3.3-70b-versatile",
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messages=[
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{"role": "user", "content": prompt}
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]
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)
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return response.choices[0].message.content
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def select_meaningful_memory(messages, client):
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"""Selects a meaningful memory using LLM."""
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# Filter for potentially interesting messages to save tokens
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candidates = [m["text"] for m in messages if len(m["text"]) > 15]
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if not candidates:
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return "Remember that time we couldn't stop laughing? Good times."
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# Sample if too many
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if len(candidates) > 50:
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candidates = random.sample(candidates, 50)
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candidates_str = "\n".join([f"- {c}" for c in candidates])
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prompt = f"""
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Here are some excerpts from a chat history between two best friends, Aman and Sarah:
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{candidates_str}
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Your Task:
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Select ONE specific message from this list that represents a "meaningful memory".
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Criteria for "meaningful":
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- A plan to meet (e.g., "Let's go to that movie", "Dinner tonight?")
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- A sweet/emotional moment
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- An inside joke or funny observation
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- NOT just "Hello" or "Okay"
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Return ONLY the exact text of the selected message. Nothing else.
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"""
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try:
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response = client.chat.completions.create(
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model="llama-3.3-70b-versatile",
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messages=[{"role": "user", "content": prompt}]
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)
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return response.choices[0].message.content.strip()
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except Exception:
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return random.choice(candidates)
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def generate_motivation():
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# Configure Groq API
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client = OpenAI(
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api_key=os.environ.get("GROQ_API_KEY"),
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base_url="https://api.groq.com/openai/v1",
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)
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try:
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with open("sarah_about.txt", "r", encoding="utf-8") as f:
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about_sarah = f.read()
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except FileNotFoundError:
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return "You are stronger than you know. Keep shining! β¨"
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prompt = f"""
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You are a supportive, wise, and kind friend.
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Read this context about Sarah:
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"{about_sarah}"
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Your Task:
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Generate a short, powerful, and personalized motivational thought for Sarah.
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It should directly address her struggles (past burdens, insecurity) but focus on her strengths (kindness, resilience, future in Air Force).
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Make it sound like it's coming from a place of deep understanding and belief in her.
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Keep it under 2 sentences.
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Output ONLY the motivational message.
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"""
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response = client.chat.completions.create(
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model="llama-3.3-70b-versatile",
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messages=[
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{"role": "user", "content": prompt}
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]
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)
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return response.choices[0].message.content
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if __name__ == "__main__":
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print(generate_inside_jokes(5))
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src/requirements.txt
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openai==2.9.0
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python-dotenv==1.2.1
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streamlit==1.52.1
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src/sarah_about.txt
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Sarah is a kind hearted, mature and a beautiful person.
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She went through a lot of hardships in her life but she never lost her smile.
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She is a true inspiration to everyone around her in the past.
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Like all her life she thinks that she did some mistakes which cannot be forgiven that's why
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she always felt insecure with her relationship with her boyfriend.
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She has a very pure heart and is very straightforward with her thoughts and actions.
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She wants to join US air force and finish her education, currently she is doing bachelors in
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pshycology.
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Though her boyfriend had also made mistakes but he didn't accept that and puts all the
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blame on her.
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She is kind of carrying her past burden with her in the present.
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She has a friend Aman who never judges her and will always stand by her in times of need as a friend.
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She is one the most brave and courageous person I know.
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src/streamlit_app.py
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|
| 1 |
+
import streamlit as st
|
| 2 |
+
import os
|
| 3 |
+
import random
|
| 4 |
+
from generate_jokes import generate_inside_jokes, generate_motivation
|
| 5 |
+
|
| 6 |
+
# Page Config
|
| 7 |
+
st.set_page_config(
|
| 8 |
+
page_title="Memory Forever",
|
| 9 |
+
page_icon="π",
|
| 10 |
+
layout="wide"
|
| 11 |
+
)
|
| 12 |
+
|
| 13 |
+
# Custom CSS
|
| 14 |
+
st.markdown("""
|
| 15 |
+
<style>
|
| 16 |
+
.main {
|
| 17 |
+
background-color: #f0f2f6;
|
| 18 |
+
}
|
| 19 |
+
.stButton>button {
|
| 20 |
+
width: 100%;
|
| 21 |
+
background-color: #ff4b4b;
|
| 22 |
+
color: white;
|
| 23 |
+
border-radius: 10px;
|
| 24 |
+
height: 50px;
|
| 25 |
+
font-size: 20px;
|
| 26 |
+
}
|
| 27 |
+
.joke-card {
|
| 28 |
+
background-color: white;
|
| 29 |
+
color: black;
|
| 30 |
+
padding: 20px;
|
| 31 |
+
border-radius: 10px;
|
| 32 |
+
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
|
| 33 |
+
margin-bottom: 15px;
|
| 34 |
+
border-left: 5px solid #ff4b4b;
|
| 35 |
+
}
|
| 36 |
+
.memory-card {
|
| 37 |
+
background-color: #fff3cd;
|
| 38 |
+
padding: 15px;
|
| 39 |
+
border-radius: 10px;
|
| 40 |
+
border: 1px solid #ffeeba;
|
| 41 |
+
color: #856404;
|
| 42 |
+
font-style: italic;
|
| 43 |
+
}
|
| 44 |
+
.motivation-card {
|
| 45 |
+
background-color: #d4edda;
|
| 46 |
+
color: #155724;
|
| 47 |
+
padding: 20px;
|
| 48 |
+
border-radius: 10px;
|
| 49 |
+
border-left: 5px solid #28a745;
|
| 50 |
+
margin-top: 20px;
|
| 51 |
+
font-weight: bold;
|
| 52 |
+
}
|
| 53 |
+
h1 {
|
| 54 |
+
color: #ff4b4b;
|
| 55 |
+
text-align: center;
|
| 56 |
+
font-family: 'Helvetica', sans-serif;
|
| 57 |
+
}
|
| 58 |
+
</style>
|
| 59 |
+
""", unsafe_allow_html=True)
|
| 60 |
+
|
| 61 |
+
# Header
|
| 62 |
+
st.title("π Memory Forever π©ββοΈ")
|
| 63 |
+
st.markdown("---")
|
| 64 |
+
|
| 65 |
+
# Layout: 2 Columns
|
| 66 |
+
col1, col2 = st.columns([1, 2])
|
| 67 |
+
|
| 68 |
+
with col1:
|
| 69 |
+
st.header("πΈ Past Gallery")
|
| 70 |
+
|
| 71 |
+
# Load images from 'sarah' directory
|
| 72 |
+
image_dir = "sarah"
|
| 73 |
+
if os.path.exists(image_dir):
|
| 74 |
+
images = [f for f in os.listdir(image_dir) if f.lower().endswith(('.png', '.jpg', '.jpeg', '.gif'))]
|
| 75 |
+
|
| 76 |
+
if images:
|
| 77 |
+
# Display a random image or a grid
|
| 78 |
+
selected_image = random.choice(images)
|
| 79 |
+
st.image(os.path.join(image_dir, selected_image), caption="Classic Sarah Moment", use_container_width=True)
|
| 80 |
+
|
| 81 |
+
# Optional: Show more images in an expander
|
| 82 |
+
with st.expander("See more photos"):
|
| 83 |
+
for img in images:
|
| 84 |
+
st.image(os.path.join(image_dir, img), use_container_width=True)
|
| 85 |
+
else:
|
| 86 |
+
st.info("No images found in 'sarah' folder. Add some photos to see them here!")
|
| 87 |
+
else:
|
| 88 |
+
st.warning("Folder 'sarah' not found. Please create it and add images.")
|
| 89 |
+
|
| 90 |
+
st.markdown("---")
|
| 91 |
+
st.subheader("βοΈ Settings")
|
| 92 |
+
count = st.slider("How many jokes?", 1, 10, 3)
|
| 93 |
+
|
| 94 |
+
st.markdown("---")
|
| 95 |
+
st.subheader("πͺ Daily Boost")
|
| 96 |
+
if st.button("Need a quick motivation β¨"):
|
| 97 |
+
with st.spinner("Finding the right words..."):
|
| 98 |
+
motivation = generate_motivation()
|
| 99 |
+
st.markdown(f'<div class="motivation-card">{motivation}</div>', unsafe_allow_html=True)
|
| 100 |
+
|
| 101 |
+
with col2:
|
| 102 |
+
st.header("β¨ Memory jokes fusion")
|
| 103 |
+
|
| 104 |
+
if st.button("Generate π²"):
|
| 105 |
+
with st.spinner("Cooking up some humor..."):
|
| 106 |
+
try:
|
| 107 |
+
jokes_text = generate_inside_jokes(count)
|
| 108 |
+
|
| 109 |
+
# Parse the output to separate jokes and memory
|
| 110 |
+
if "MEMORY FOR SARAH:" in jokes_text:
|
| 111 |
+
parts = jokes_text.split("MEMORY FOR SARAH:")
|
| 112 |
+
jokes_section = parts[0].replace("INSIDE JOKES:", "").strip()
|
| 113 |
+
memory_section = parts[1].strip().strip('"')
|
| 114 |
+
else:
|
| 115 |
+
jokes_section = jokes_text
|
| 116 |
+
memory_section = "Remember that time..."
|
| 117 |
+
|
| 118 |
+
# Display Jokes
|
| 119 |
+
st.markdown("### π Inside Jokes")
|
| 120 |
+
for line in jokes_section.split('\n'):
|
| 121 |
+
if line.strip():
|
| 122 |
+
st.markdown(f'<div class="joke-card">{line.strip()}</div>', unsafe_allow_html=True)
|
| 123 |
+
|
| 124 |
+
# Display Memory
|
| 125 |
+
st.markdown("### π A Memory to Cherish")
|
| 126 |
+
st.markdown(f'<div class="memory-card">"{memory_section}"</div>', unsafe_allow_html=True)
|
| 127 |
+
|
| 128 |
+
except Exception as e:
|
| 129 |
+
st.error(f"Oof! Something went wrong: {e}")
|
| 130 |
+
|
| 131 |
+
# Footer
|
| 132 |
+
st.markdown("---")
|
| 133 |
+
st.markdown("<div style='text-align: center; color: gray;'>Made with π by Aman</div>", unsafe_allow_html=True)
|