explaining properties md

JAlcocerT · Jul 24, 2024 · e72d267 · e72d267
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diff --git a/LLamaIndex-Mem0/Chat_with_md.py b/LLamaIndex-Mem0/Chat_with_md.py
@@ -13,8 +13,10 @@
 class RealEstateAssistant:
     def __init__(self):
         self.client = OpenAI()
-        self.memory = Memory()
-        self.messages = [{"role": "system", "content": "You are a Real Estate Agent that will make relevant follow-up questions to the user to provide the best housing option. When you see a match in the given amenities, you can comment on them."}]
+        self.memory = Memory() #using mem0 here
+        self.messages = [{"role": "system", "content": "You are a Real Estate Agent that will make \
+                          relevant follow-up questions to the user to provide the best housing option.\
+                           When you see a match in the given amenities, you can comment on them."}]
         self.follow_up_count = 0
 
         # Load flat examples from CSV and add to memory
@@ -27,7 +29,7 @@ def __init__(self):
         Settings.embed_model = embed_model
         Settings.chunk_size = 512
 
-        # Load documents and create the index
+        # Load documents and create the index (as per the given .md in the folder)
         documents = SimpleDirectoryReader("./datamd").load_data()
         self.index = VectorStoreIndex.from_documents(documents)
 
@@ -39,7 +41,7 @@ def ask_question(self, question, user_id):
             prompt = f"User input: {question}\nPrevious memories: {previous_memories}"
         self.messages.append({"role": "user", "content": prompt})
 
-        # Generate response using GPT-4
+        # Generate response using GPT-4 (OpenAI)
         response = self.client.chat.completions.create(
             model="gpt-4",
             messages=self.messages
@@ -73,7 +75,8 @@ def query_properties(self, user_id):
         self.follow_up_count = 0  # Reset follow-up count after query
         return response
 
-# Usage example
+### Usage example
+
 user_id = "user_123"
 ai_assistant = RealEstateAssistant()
 
@@ -96,4 +99,4 @@ def main():
             print(f"Properties Query Response: {answer}")
 
 if __name__ == "__main__":
-    main()
+    main()
diff --git a/LLamaIndex-Mem0/Docker-Compose.yml b/LLamaIndex-Mem0/Docker-Compose.yml
@@ -2,15 +2,14 @@ version: '3.8'
 
 services:
   testing_service:
-    image: langchain_mem0
-    container_name: langchain_mem0
+    image: properties_chat
+    container_name: Chat_with_Properties
     ports:
       - "8009:8000"
-    #command: streamlit run app.py
-    command: tail -f /dev/null
+    command: tail -f /dev/null ##command: streamlit run app.py
     environment:
       - OPENAI_API_KEY=sk-proj-yourapi
       - ANTHROPIC_API_KEY=sk-ant-api03-yourapi
 
-#docker exec -it langchain_mem0 /bin/bash
-#podman exec -it langchain_mem0 /bin/bash
+#docker exec -it properties_chat /bin/bash
+#podman exec -it properties_chat /bin/bash
diff --git a/LLamaIndex-Mem0/Dockerfile b/LLamaIndex-Mem0/Dockerfile
@@ -29,4 +29,7 @@ EXPOSE 8000
 #CMD ["streamlit", "run", "app.py"]
 
 # docker build -t langchain_mem0 .
-# podman build -t langchain_mem0 .
+# podman build -t langchain_mem0 .
+
+# docker build -t properties_chat .
+# podman build -t properties_chat .
diff --git a/LLamaIndex-Mem0/datamd/properties.md b/LLamaIndex-Mem0/datamd/properties.md
@@ -62,4 +62,162 @@
    - Parking: Detached 1-car garage and driveway 🚗
    - Amenities:
      - Outdoor patio with a fire pit 🔥
-     - Bright
+     - Bright
+
+7. **Beachfront Villa in Malibu** 🌊
+   - Location: Malibu, California, USA 🇺🇸
+   - Price: $8,000,000 💰
+   - Rooms: 5 bedrooms, 6 bathrooms 🛏️🛁
+   - Parking: 3-car garage 🚗
+   - Amenities:
+     - Private beach access 🏖️
+     - Infinity pool overlooking the ocean 🏊‍♂️
+     - Home theater and wine cellar 🎥🍷
+     - Spacious outdoor deck for entertaining 🌅
+   - Perfect for: Celebrities and luxury seekers wanting exclusive oceanfront living 🌟
+
+8. **Historic Townhouse in Paris** 🥖
+   - Location: Le Marais, Paris, France 🇫🇷
+   - Price: €3,500,000 💶
+   - Rooms: 4 bedrooms, 3 bathrooms 🛏️🛁
+   - Parking: Underground parking available 🚗
+   - Amenities:
+     - Original architectural details and high ceilings 🏛️
+     - Private courtyard garden 🌳
+     - Modern kitchen with top-of-the-line appliances 🍽️
+     - Proximity to iconic landmarks and cultural sites 🏰
+   - Perfect for: Art enthusiasts and history lovers seeking Parisian charm 🎨
+
+9. **Mountain Chalet in the Swiss Alps** 🏔️
+   - Location: Zermatt, Switzerland 🇨🇭
+   - Price: CHF 4,500,000 💵
+   - Rooms: 6 bedrooms, 7 bathrooms 🛏️🛁
+   - Parking: Heated garage 🚗
+   - Amenities:
+     - Ski-in/ski-out access 🎿
+     - Indoor pool and sauna 🏊‍♂️🧖‍♂️
+     - Panoramic views of the Matterhorn 🏞️
+     - Fireplace and rustic wood interiors 🔥
+   - Perfect for: Winter sports enthusiasts and luxury vacationers ❄️
+
+10. **Tropical Estate in Bali** 🌴
+   - Location: Ubud, Bali, Indonesia 🇮🇩
+   - Price: $1,200,000 💰
+   - Rooms: 4 bedrooms, 5 bathrooms 🛏️🛁
+   - Parking: Private driveway 🚗
+   - Amenities:
+     - Lush gardens and rice field views 🌾
+     - Private infinity pool 🏊‍♂️
+     - Open-air living and dining areas 🌞
+     - Traditional Balinese architecture and design 🏡
+   - Perfect for: Expats and vacation home buyers seeking tranquility and culture 🌺
+
+11. **Eco-Friendly Home in Sydney** 🌿
+   - Location: Bondi Beach, Sydney, Australia 🇦🇺
+   - Price: AUD 3,000,000 💵
+   - Rooms: 3 bedrooms, 2 bathrooms 🛏️🛁
+   - Parking: 2-car garage 🚗
+   - Amenities:
+     - Solar panels and rainwater harvesting systems 🌞💧
+     - Sustainable materials and design ♻️
+     - Rooftop garden and outdoor entertaining space 🌳
+     - Walking distance to Bondi Beach 🌊
+   - Perfect for: Environmentally conscious buyers and beach lovers 🌱
+
+12. **Luxury Condo in Dubai** 🏙️
+   - Location: Downtown Dubai, UAE 🇦🇪
+   - Price: AED 6,000,000 💵
+   - Rooms: 3 bedrooms, 4 bathrooms 🛏️🛁
+   - Parking: 2 underground parking spaces 🚗
+   - Amenities:
+     - Panoramic views of the Burj Khalifa 🌟
+     - High-end fitness center and spa 🧘‍♀️
+     - Private elevator access 🛗
+     - Smart home technology throughout 🏠
+   - Perfect for: High-net-worth individuals seeking a lavish urban lifestyle 🏢
+
+13. **Rustic Farmhouse in Tuscany** 🍇
+   - Location: Chianti, Tuscany, Italy 🇮🇹
+   - Price: €1,800,000 💶
+   - Rooms: 5 bedrooms, 4 bathrooms 🛏️🛁
+   - Parking: Ample outdoor parking 🚗
+   - Amenities:
+     - Vineyard and olive grove 🍷🍈
+     - Swimming pool with countryside views 🏊‍♂️
+     - Traditional wood-beam ceilings and terracotta floors 🏡
+     - Proximity to charming Tuscan villages and wineries 🍇
+   - Perfect for: Wine enthusiasts and those seeking a serene country life 🍷
+
+14. **Modern Loft in Tokyo** 🏢
+   - Location: Shibuya, Tokyo, Japan 🇯🇵
+   - Price: ¥150,000,000 💴
+   - Rooms: 2 bedrooms, 2 bathrooms 🛏️🛁
+   - Parking: Underground parking available 🚗
+   - Amenities:
+     - Open-plan living and dining areas 🍽️
+     - Floor-to-ceiling windows with city views 🌇
+     - High-tech security and smart home features 🏠
+     - Close to trendy shops, restaurants, and nightlife 🛍️🍣
+   - Perfect for: Young professionals and creatives seeking a vibrant city lifestyle 🌃
+
+15. **Cozy Cabin in the Canadian Rockies** 🏞️
+   - Location: Banff, Alberta, Canada 🇨🇦
+   - Price: CAD 950,000 💵
+   - Rooms: 3 bedrooms, 2 bathrooms 🛏️🛁
+   - Parking: Detached garage and driveway 🚗
+   - Amenities:
+     - Wood-burning stove and rustic interiors 🔥
+     - Large deck with mountain views 🌄
+     - Proximity to hiking trails and ski resorts 🥾🎿
+     - Quiet and secluded location 🌲
+   - Perfect for: Nature lovers and outdoor enthusiasts seeking a mountain retreat 🏔️
+
+   ### Properties in Poland and Portugal
+
+16. **Charming Mountain Cabin in Zakopane** 🏞️
+   - Location: Zakopane, Poland 🇵🇱
+   - Price: PLN 800,000 💵
+   - Rooms: 3 bedrooms, 2 bathrooms 🛏️🛁
+   - Parking: 1-car garage and driveway 🚗
+   - Amenities:
+     - Traditional wooden architecture 🏡
+     - Cozy fireplace and rustic interiors 🔥
+     - Large terrace with mountain views 🌄
+     - Proximity to Tatra National Park and ski slopes 🎿
+   - Perfect for: Families and outdoor enthusiasts seeking a serene mountain getaway 🌲
+
+17. **Affordable Retreat in the Bieszczady Mountains** 🏔️
+   - Location: Bieszczady, Poland 🇵🇱
+   - Price: PLN 450,000 💵
+   - Rooms: 2 bedrooms, 1 bathroom 🛏️🛁
+   - Parking: Outdoor parking space 🚗
+   - Amenities:
+     - Wood-burning stove and cozy interiors 🔥
+     - Surrounded by lush forests and nature trails 🌳
+     - Outdoor seating area and garden 🌸
+     - Quiet and secluded location 🌲
+   - Perfect for: Nature lovers and those seeking a peaceful retreat 🌿
+
+18. **Rustic Cottage in the Serra da Estrela** 🌄
+   - Location: Serra da Estrela, Portugal 🇵🇹
+   - Price: €120,000 💶
+   - Rooms: 2 bedrooms, 1 bathroom 🛏️🛁
+   - Parking: Private driveway 🚗
+   - Amenities:
+     - Stone fireplace and traditional decor 🔥
+     - Scenic views of the mountains and valleys 🌄
+     - Proximity to hiking trails and natural parks 🥾
+     - Charming village setting with local amenities 🏡
+   - Perfect for: Hikers and nature enthusiasts seeking an affordable mountain home 🌲
+
+19. **Budget-Friendly House in the Peneda-Gerês National Park** 🌳
+   - Location: Peneda-Gerês, Portugal 🇵🇹
+   - Price: €100,000 💶
+   - Rooms: 3 bedrooms, 1 bathroom 🛏️🛁
+   - Parking: Street parking available 🚗
+   - Amenities:
+     - Rustic interiors with wooden beams 🌲
+     - Garden and outdoor seating area 🌿
+     - Proximity to lakes, waterfalls, and trails 🏞️
+     - Located in a charming mountain village 🏘️
+   - Perfect for: Families and adventurers looking for an affordable nature retreat 🏞️
diff --git a/LLamaIndex-Mem0/readme.md b/LLamaIndex-Mem0/readme.md
@@ -8,5 +8,15 @@
   </a>
 </div>
 
-* https://www.anthropic.com/api
-* https://platform.openai.com/
+* API's needed:
+  * https://www.anthropic.com/api
+  * https://platform.openai.com/
+
+## Chat_with_md
+
+* The **Anthropic model** isn't used directly for generating responses to user questions, it is used indirectly through the `Llama Index` for finding **relevant property documents** based on the user's previous questions.
+  * [llama_index.llms.anthropic](https://docs.llamaindex.ai/en/stable/examples/llm/anthropic/)
+
+* The **responses** to the user's questions are generated by the **OpenAI's GPT-4 model**. 
+  * The `ask_question` method, the OpenAI client is used to create a chat completion with the GPT-4 model. The current conversation history (self.messages) is passed to the model, which generates a response. The response is then added to the conversation history.
+  * https://platform.openai.com/docs/api-reference/introduction