Merge pull request #233 from Daethyra/7.0.0

7.0.0 initial commit | PowerBot and Pagination

- Repurposed archived Home page
  - updated Home body and reference links
- added LangChain privacy policy link in README
- created PowerBot
  - tools: get_weather, web_search, clock, calculate
  - uses Agentic memory and ReAct decision making thanks to LangChain's `create_agent`
- added `google-search-results` to dependencies

Author: Daethyra

.streamlit/template.secrets.toml

@@ -1,6 +1,9 @@
 [DEEPSEEK]
 DEEPSEEK_API_KEY = ""
 
+[SERPAPI]
+SERPAPI_KEY = ""
+
 [OPENAI]
 openai_api_key = ""
 

README.md

@@ -19,7 +19,7 @@ Streamlit Chatbots - Work in Progress
 
 ## Quickstart
 
-This app is hosted via Streamlit Community Cloud, [here](https://freestream.streamlit.app/ "Current Version: 4.0.1")
+This app is hosted via Streamlit Community Cloud, [here](https://freestream.streamlit.app/ "Current Version: 7.0.0")
 
 ### Installation
 
@@ -69,6 +69,7 @@ Just a freaking robot.
 
 # LLM Providers' Privacy Policies
 
+- [LangChain](https://www.langchain.com/privacy-policy)
 - [DeepSeek Privacy Policy](https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html)
 - [Streamlit](https://streamlit.io/privacy-policy/)
 

freestream/__init__.py

@@ -1 +1 @@
-from .pages.utils.styles import footer
+from .pages.utils.styles import footer

freestream/pages/.archive/🏡_Home.py

@@ -7,4 +7,9 @@
     set_bg_url,
     set_bg_local,
     save_conversation_history,
+    format_weather_data,
+    get_weather,
+    web_search,
+    clock,
+    calculate,
 )

freestream/pages/__init__.py

@@ -2,3 +2,4 @@
 from .streamlit_operators import *
 from .lc_premade import *
 from .styles import *
+from .bot_tools import *

freestream/pages/utils/__init__.py

@@ -0,0 +1,106 @@
+import math
+import os
+from datetime import datetime
+
+from langchain_core.tools import tool
+from serpapi import GoogleSearch
+
+# First, create the output formatting function
+def format_weather_data(text_blocks):
+    """Format the weather data from text_blocks into a readable string"""
+    formatted_text = ""
+    
+    for block in text_blocks:
+        if block["type"] == "paragraph":
+            formatted_text += f"{block['snippet']}\n\n"
+        elif block["type"] == "heading":
+            formatted_text += f"--- {block['snippet']} ---\n"
+        elif block["type"] == "list" and "list" in block:
+            for item in block["list"]:
+                formatted_text += f"• {item['snippet']}\n"
+            formatted_text += "\n"
+    
+    return formatted_text.strip()
+
+# Define the tool using the langchain decorator
+@tool
+def get_weather(location: str) -> str:
+    """Get current weather information for a specific location.
+    Example: "portland oregon", "new york", "london uk"
+    """
+    try:
+        params = {
+            "engine": "google_ai_mode",
+            "q": f"{location} weather",
+            "api_key": os.environ["SERPAPI_KEY"],
+            "location": "Portland, OR"
+        }
+        
+        search = GoogleSearch(params)
+        results = search.get_dict()
+        
+        if "text_blocks" in results and len(results["text_blocks"]) > 0:
+            # Extract and format weather information from the text blocks
+            weather_info = format_weather_data(results["text_blocks"])
+            return f"Weather in {location}:\n{weather_info}"
+        else:
+            return f"Could not find weather information for {location}"
+            
+    except Exception as e:
+        return f"Error fetching weather data: {str(e)}"
+
+@tool
+def web_search(query: str) -> str:
+    """Search the web using Google. Pass in the query you want to search. You can use anything that you would use in a regular Google search. e.g. inurl:, site:, intitle:. 
+    """
+    try:
+        params = {
+            "engine": "google_ai_mode",
+            "q": f"{query}",
+            "api_key": os.environ["SERPAPI_KEY"],
+            "location": "Portland, OR"
+        }
+        
+        search = GoogleSearch(params)
+        results = search.get_dict()
+        
+        if "text_blocks" in results and len(results["text_blocks"]) > 0:
+            # Extract and format weather information from the text blocks
+            output = results["text_blocks"]
+            return f"{query} results:\n{output}"
+        else:
+            return f"Could not find search Google for {query}"
+            
+    except Exception as e:
+        return f"Error fetching weather data: {str(e)}"
+
+@tool
+def clock():
+    """Get the datetime. Returns datetime.now().strftime("%Y-%m-%d %I:%M %p")"""    
+    return datetime.now().strftime("%Y-%m-%d %I:%M %p")
+
+@tool
+def calculate(expression: str) -> str:
+    """Evaluate a mathematical expression. You can use basic operators (+, -, *, /, ^) and functions like sqrt, sin, cos, etc.
+    Example expressions: 
+    - "2 + 3 * 4" 
+    - "sqrt(16)" 
+    - "sin(30) + cos(60)"
+    """
+    try:
+        # Replace ^ with ** for exponentiation
+        expression = expression.replace('^', '**')
+        
+        # Add math functions to the evaluation context
+        safe_dict = {
+            'abs': abs, 'round': round, 'min': min, 'max': max,
+            'sqrt': math.sqrt, 'sin': math.sin, 'cos': math.cos, 
+            'tan': math.tan, 'log': math.log, 'log10': math.log10,
+            'pi': math.pi, 'e': math.e
+        }
+        
+        # Evaluate the expression safely
+        result = eval(expression, {"__builtins__": None}, safe_dict)
+        return f"The result of {expression} is {result}"
+    except Exception as e:
+        return f"Error evaluating expression: {str(e)}"