Amna- Chat bot pull request to main branch

.devcontainer/devcontainer.json

@@ -0,0 +1,33 @@
+{
+  "name": "Python 3",
+  // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
+  "image": "mcr.microsoft.com/devcontainers/python:1-3.11-bookworm",
+  "customizations": {
+    "codespaces": {
+      "openFiles": [
+        "README.md",
+        "sessions/session-01-ai-chatbots/starter-template/chatbot.py"
+      ]
+    },
+    "vscode": {
+      "settings": {},
+      "extensions": [
+        "ms-python.python",
+        "ms-python.vscode-pylance"
+      ]
+    }
+  },
+  "updateContentCommand": "[ -f packages.txt ] && sudo apt update && sudo apt upgrade -y && sudo xargs apt install -y <packages.txt; [ -f requirements.txt ] && pip3 install --user -r requirements.txt; pip3 install --user streamlit; echo '✅ Packages installed and Requirements met'",
+  "postAttachCommand": {
+    "server": "streamlit run sessions/session-01-ai-chatbots/starter-template/chatbot.py --server.enableCORS false --server.enableXsrfProtection false"
+  },
+  "portsAttributes": {
+    "8501": {
+      "label": "Application",
+      "onAutoForward": "openPreview"
+    }
+  },
+  "forwardPorts": [
+    8501
+  ]
+}

.gitignore

@@ -205,3 +205,9 @@ cython_debug/
 marimo/_static/
 marimo/_lsp/
 __marimo__/
+
+# .gitignore
+.env
+.env.local
+*.key
+

.vscode/settings.json

@@ -0,0 +1,4 @@
+{
+    "python.analysis.autoImportCompletions": true,
+    "python.analysis.typeCheckingMode": "standard"
+}

getting-started/amna.py

@@ -0,0 +1,7 @@
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+project_id = os.getenv("gen-lang-client-0919970423")
+location = os.getenv("GCP_LOCATION")

getting-started/quickstart.py

@@ -0,0 +1,16 @@
+from google.cloud import aiplatform
+
+# Initialize Vertex AI
+aiplatform.init(project="gen-lang-client-0919970423", location="us-central1")
+
+# Import the generative model
+from vertexai.generative_models import GenerativeModel
+
+# Initialize the model
+model = GenerativeModel("gemini-2.5-flash-lite")
+
+# Make a simple request
+response = model.generate_content("What is AI?")
+
+print("Response:")
+print(response.text)

getting-started/test-gemini.py

@@ -0,0 +1,23 @@
+import os
+from dotenv import load_dotenv
+import google.generativeai as genai
+
+# Load environment variables
+load_dotenv()
+
+# Configure API
+api_key = os.getenv('GEMINI_API_KEY')
+if not api_key:
+    print("❌ Error: GEMINI_API_KEY not found in .env file")
+    exit(1)
+
+genai.configure(api_key=api_key)
+
+# Test the API
+try:
+    model = genai.GenerativeModel('gemini-2.5-flash-lite')
+    response = model.generate_content("What is AI? Explain to a novice.")
+    print("✅ API is working!")
+    print(f"Response: {response.text}")
+except Exception as e:
+    print(f"❌ Error: {e}")

getting-started/test-setup.py

@@ -0,0 +1,22 @@
+import sys
+print(f"Python version: {sys.version}")
+
+try:
+    from google.cloud import aiplatform
+    print("✅ google-cloud-aiplatform installed")
+except ImportError:
+    print("❌ google-cloud-aiplatform not found")
+
+try:
+    import streamlit
+    print("✅ streamlit installed")
+except ImportError:
+    print("❌ streamlit not found")
+
+try:
+    import dotenv
+    print("✅ python-dotenv installed")
+except ImportError:
+    print("❌ python-dotenv not found")
+
+print("\n✅ All packages installed successfully!")

requirements.txt

@@ -5,9 +5,11 @@
 # Session 1 (AI Fundamentals & LLM APIs) - REQUIRED
 # ============================================================================
 
-google-generativeai>=0.3.0
+google-cloud-aiplatform>=1.26.0
+vertexai>=0.1.0
 python-dotenv>=1.0.0
 streamlit>=1.28.0
+requests>=2.31.0
 
 # ============================================================================
 # Optional: Alternative Platforms (Uncomment to use)

sessions/session-01-ai-chatbots/starter-template/app.py

@@ -0,0 +1,45 @@
+import streamlit as st
+import json
+from chatbot import SimpleBot
+
+st.set_page_config(page_title="WCC Info Bot", page_icon="🤖")
+
+st.title("🤖 WCC Info Bot")
+st.markdown("Ask me anything about Women Coding Community!")
+
+# Load FAQs
+with open("wcc_faqs.json") as f:
+    wcc_data = json.load(f)
+
+faq_text = "\n".join([
+    f"Q: {faq['question']}\nA: {faq['answer']}"
+    for faq in wcc_data["faqs"]
+])
+
+system_prompt = f"""You are a friendly WCC assistant...
+{faq_text}"""
+
+# Initialize bot
+if "bot" not in st.session_state:
+    st.session_state.bot = SimpleBot(system_prompt=system_prompt)
+
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat history
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# Chat input
+if user_input := st.chat_input("Ask me about WCC..."):
+    st.session_state.messages.append({"role": "user", "content": user_input})
+
+    with st.chat_message("user"):
+        st.markdown(user_input)
+
+    response = st.session_state.bot.chat(user_input)
+    st.session_state.messages.append({"role": "assistant", "content": response})
+
+    with st.chat_message("assistant"):
+        st.markdown(response)

sessions/session-01-ai-chatbots/starter-template/chatbot.py

@@ -11,7 +11,7 @@
 load_dotenv()
 
 # Configure Gemini API
-API_KEY = os.getenv("GEMINI_API_KEY")
+API_KEY ="AIzaSyBbKBVBiiMuQzfI8CSiIqC02bNXJ_1-nI0"
 if not API_KEY:
     raise ValueError(
         "GEMINI_API_KEY not found in environment variables. "
@@ -115,3 +115,37 @@ def main():
 
 if __name__ == "__main__":
     main()
+import json
+
+# Load WCC FAQs
+with open("wcc_faqs.json") as f:
+    wcc_data = json.load(f)
+
+# Create FAQ context
+faq_text = "\n".join([
+    f"Q: {faq['question']}\nA: {faq['answer']}"
+    for faq in wcc_data["faqs"]
+])
+
+# Create system prompt with WCC knowledge
+system_prompt = f"""You are Maya, the enthusiastic WCC assistant!
+You love helping women in tech and are passionate about community.
+Always be encouraging and supportive.
+Use emojis occasionally to add warmth and supportiveness.
+Also be kind and inclusive in your responses.
+
+Here are the FAQs you should reference:
+{faq_text}
+
+Be warm, encouraging, and inclusive. If you don't know something, suggest they contact the WCC team.
+"""
+
+import logging
+
+logging.basicConfig(filename='chatbot.log', level=logging.INFO)
+
+def log_conversation(user_msg, bot_response):
+    logging.info(f"User: {user_msg}")
+    logging.info(f"Bot: {bot_response}")
+
+bot = SimpleBot(system_prompt=system_prompt)

sessions/session-01-ai-chatbots/starter-template/scraper.py

@@ -0,0 +1,37 @@
+import requests
+from bs4 import BeautifulSoup
+import json
+
+def scrape_wcc_events():
+    """Scrape upcoming events from WCC website"""
+    # Replace with actual WCC website URL
+    url = "https://womencoding.community/events"
+
+    try:
+        response = requests.get(url)
+        soup = BeautifulSoup(response.content, 'html.parser')
+
+        events = []
+        for event in soup.find_all('div', class_='event'):
+            events.append({
+                "title": event.find('h3').text,
+                "date": event.find('span', class_='date').text,
+                "description": event.find('p').text
+            })
+
+        return events
+    except Exception as e:
+        print(f"Error scraping: {e}")
+        return []
+
+# Use in chatbot
+events = scrape_wcc_events()
+events_text = "\n".join([
+    f"- {e['title']} on {e['date']}: {e['description']}"
+    for e in events
+])
+
+system_prompt = f"""You are a WCC assistant.
+Upcoming events:
+{events_text}
+"""

sessions/session-01-ai-chatbots/starter-template/test_bot.py

@@ -0,0 +1,18 @@
+from chatbot import SimpleBot
+
+def test_wcc_bot():
+    bot = SimpleBot(system_prompt="You are a WCC assistant.")
+
+    # Test basic response
+    response = bot.chat("What is WCC?")
+    assert len(response) > 0
+
+    # Test conversation memory
+    bot.chat("I'm interested in AI")
+    response = bot.chat("Can you recommend a session?")
+    assert "AI" in response or "session" in response.lower()
+
+    print("✅ All tests passed!")
+
+if __name__ == "__main__":
+    test_wcc_bot()

sessions/session-01-ai-chatbots/starter-template/wcc_faqs.json

@@ -0,0 +1,20 @@
+{
+  "faqs": [
+    {
+      "question": "What is WCC?",
+      "answer": "Women Coding Community is a global community of women in tech..."
+    },
+    {
+      "question": "How do I join WCC?",
+      "answer": "Visit our website and sign up for free..."
+    },
+    {
+      "question": "When are the sessions?",
+      "answer": "Sessions are held every other Wednesday at 7 PM EST..."
+    },
+    {
+      "question": "Can I volunteer?",
+      "answer": "Absolutely! We're always looking for volunteers..."
+    }
+  ]
+}