Update llm.py

Docker

Dockerfile

@@ -0,0 +1,18 @@
+FROM python:3.10-slim
+ENV PYTHONUNBUFFERED=1
+
+RUN apt-get update && apt-get install -y gettext && rm -rf /var/lib/apt/lists/*
+
+
+WORKDIR /app
+COPY . /app
+COPY requirements.txt .
+
+RUN pip install -r requirements.txt
+COPY . .
+
+COPY config.ini /app/config.ini
+COPY entrypoint.sh /app/entrypoint.sh
+
+RUN chmod +x /app/entrypoint.sh
+ENTRYPOINT ["/app/entrypoint.sh"]

README.md

@@ -10,6 +10,8 @@ Along with network testing, this bot has a lot of other fun features, like simpl
 
 The bot is also capable of using dual radio/nodes, so you can monitor two networks at the same time and send messages to nodes using the same `bbspost @nodeNumber #message` or `bbspost @nodeShportName #message` function. There is a small message board to fit in the constraints of Meshtastic for posting bulletin messages with `bbspost $subject #message`.
 
+Look up data using wiki results or interact with [Ollama](https://ollama.com) LLM AI see the [OllamaDocs](https://github.com/ollama/ollama/tree/main/docs) If Ollama is enabled you can DM the bot directly. The default model for mesh-bot which is currently `gemma2:2b`
+
 The bot will report on anyone who is getting close to the configured lat/long, if in a remote location.
 
 Store and forward-like message re-play with `messages`, and there is a repeater module for dual radio bots to cross post messages. Messages are also logged locally to disk.
@@ -18,7 +20,9 @@ The bot can also be used to monitor a radio frequency and let you know when high
 
 Any messages that are over 160 characters are chunked into 160 message bytes to help traverse hops, in testing, this keeps delivery success higher.
 
-Full list of commands for the bot.
+[Donate$](https://www.paypal.com/donate?token=ZpiU7zDh-AQDyK76nWmWPQLf04iOm-Iyr3f85lpubt37NWGRYtfe11UyC0LmY1wdcC20UubWo4Kec-_G) via PayPal if you like the project! 
+
+## Full list of commands for the bot
 
 - Various solar details for radio propagation (spaceWeather module)
   - `sun` and `moon` return info on rise and set local time
@@ -36,6 +40,8 @@ Full list of commands for the bot.
   - `wx` and `wxc` returns local weather forecast, (wxc is metric value), NOAA or Open Meteo for weather forecasting.
   - `wxa` and `wxalert` return NOAA alerts. Short title or expanded details
   - `joke` tells a joke
+  - `wiki: ` search wikipedia, return the first few sentances of first result if a match `wiki: lora radio`
+  - `ask: ` ask Ollama LLM AI for a response `ask: what temp do I cook chicken`
   - `messages` Replay the last messages heard, like Store and Forward
   - `motd` or to set the message `motd $New Message Of the day`
   - `lheard` returns the last 5 heard nodes with SNR, can also use `sitrep`
@@ -51,11 +57,17 @@ The project is written on Linux on a Pi and should work anywhere [Meshtastic](ht
 Clone the project with `git clone https://github.com/spudgunman/meshing-around`
 code is under a lot of development, so check back often with `git pull`
 Copy [config.template](config.template) to `config.ini` and edit for your needs.
+`pip install -r requirements.txt` 
 
 Optionally:
 - `install.sh` will automate optional venv and requirements installation.
 - `launch.sh` will activate and launch the app in the venv if built.
 
+For Docker:
+- `git clone https://github.com/spudgunman/meshing-around`
+- `cd meshing-around && docker build -t meshing-around`
+- `docker run meshing-around`
+
 ### Configurations
 Copy the [config.template](config.template) to `config.ini` and set the appropriate interface for your method (serial/ble/tcp). While BLE and TCP will work, they are not as reliable as serial connections. There is a watchdog to reconnect tcp if possible. To get BLE mac `meshtastic --ble-scan` **NOTE** I have only tested with a single BLE device and the code is written to only have one interface be a BLE port
 
@@ -141,6 +153,15 @@ signalHoldTime = 10
 signalCooldown = 5
 signalCycleLimit = 5
 ```
+Ollama Settings, for Ollama to work the command line `ollama run 'model'` needs to work properly. Check that you have enough RAM and your GPU are working as expected. The default model for this project, is set to `gemma2:2b` (run `ollama pull gemma2:2b` on command line, to download and setup) however I have found gemma2:2b to be lighter, faster and seems better overall vs llama3,1 (`olamma pull llama3.1`)
+ - From the command terminal of your system with mesh-bot, download the default model for mesh-bot which is currently `ollama pull gemma2:2b`
+
+```
+# Enable ollama LLM see more at https://ollama.com
+ollama = True
+# Ollama model to use (defaults to llama3.1)
+ollamaModel = gemma2:2b
+```
 
 Logging messages to disk or Syslog to disk uses the python native logging function. Take a look at the [/modules/log.py](/modules/log.py) you can set the file logger for syslog to INFO for example to not log DEBUG messages to file log, or modify the stdOut level.
 ```
@@ -166,7 +187,7 @@ The Scheduler is enabled in the [settings.py](modules/settings.py) by setting `s
 #schedule.every().wednesday.at("19:00").do(lambda: send_message("Net Starting Now", 2, 0, 1))
 ```
 # requirements
-Python 3.4 and likely higher is needed, developed on latest release.
+Python 3.10 minimally is needed, developed on latest release.
 
 The following can also be installed with `pip install -r requirements.txt` or using the install.sh script for venv and automation
 
@@ -185,6 +206,7 @@ pip install beautifulsoup4
 pip install dadjokes
 pip install geopy
 pip install schedule
+pip install wikipedia
 ```
 The following is needed for open-meteo use
 ```
@@ -192,6 +214,12 @@ pip install openmeteo_requests
 pip install retry_requests
 pip install numpy
 ```
+The following is for the Ollama LLM
+```
+pip install langchain
+pip install langchain-ollama
+pip install ollama
+```
 
 To enable emoji in the Debian console, install the fonts `sudo apt-get install fonts-noto-color-emoji`
 
@@ -201,6 +229,6 @@ I used ideas and snippets from other responder bots and want to call them out!
 - https://github.com/pdxlocations/meshtastic-Python-Examples
 - https://github.com/geoffwhittington/meshtastic-matrix-relay
 
-GitHub user PiDiBi looking at test functions and other suggestions like wxc, CPU use, and alerting ideas
+GitHub user mrpatrick1991 For Docker configs, PiDiBi looking at test functions and other suggestions like wxc, CPU use, and alerting ideas
 Discord and Mesh user Cisien, and github Hailo1999, for testing and ideas!
 

config.template

@@ -34,6 +34,12 @@ welcome_message = MeshBot, here for you like a friend who is not. Try sending: p
 DadJokes = True
 # enable or disable the Solar module
 spaceWeather = True
+# enable or disable the wikipedia search module
+wikipedia = True
+# Enable ollama LLM see more at https://ollama.com
+ollama = False
+# Ollama model to use (defaults to gemma2:2b)
+# ollamaModel = llama3.1
 # StoreForward Enabled and Limits
 StoreForward = True
 StoreLimit = 3
@@ -46,7 +52,6 @@ LogMessagesToFile = False
 # Logging of system messages to file
 SyslogToFile = False
 
-
 [sentry]
 # detect anyone close to the bot
 SentryEnabled = True
@@ -101,4 +106,4 @@ signalDetectionThreshold = -10
 signalHoldTime = 10
 # the following are combined to reset the monitor
 signalCooldown = 5
-signalCycleLimit = 5
+signalCycleLimit = 5

entrypoint.sh

@@ -0,0 +1,6 @@
+#!/bin/bash
+
+# Substitute environment variables in the config file
+envsubst < /app/config.ini > /app/config.tmp && mv /app/config.tmp /app/config.ini
+
+exec python /app/mesh_bot.py

mesh_bot.py

@@ -22,6 +22,8 @@ def auto_response(message, snr, rssi, hop, message_from_id, channel_number, devi
         "wxa": lambda: handle_wxalert(message_from_id, deviceID, message),
         "wxc": lambda: handle_wxc(message_from_id, deviceID, 'wxc'),
         "wx": lambda: handle_wxc(message_from_id, deviceID, 'wx'),
+        "wiki:": lambda: handle_wiki(message),
+        "ask:": lambda: handle_llm(message_from_id, channel_number, deviceID, message, publicChannel),
         "joke": tell_joke,
         "bbslist": bbs_list_messages,
         "bbspost": lambda: handle_bbspost(message, message_from_id, deviceID),
@@ -93,6 +95,54 @@ def handle_wxalert(message_from_id, deviceID, message):
 
         return weatherAlert
 
+def handle_wiki(message):
+    # location = get_node_location(message_from_id, deviceID)
+    if "wiki:" in message.lower():
+        search = message.split(":")[1]
+        search = search.strip()
+        return get_wikipedia_summary(search)
+    else:
+        return "Please add a search term example:wiki: travelling gnome"
+
+def handle_llm(message_from_id, channel_number, deviceID, message, publicChannel):
+    global llmRunCounter, llmTotalRuntime
+    if "ask:" in message.lower():
+        user_input = message.split(":")[1]
+        user_input = user_input.strip()
+    else:
+        user_input = message
+        
+    if len(user_input) < 1:
+        return "Please ask a question"
+
+    # information for the user on how long the query will take on average
+    if llmRunCounter > 0:
+        averageRuntime = sum(llmTotalRuntime) / len(llmTotalRuntime)
+        if averageRuntime > 25:
+            msg = f"Please wait, average query time is: {int(averageRuntime)} seconds"
+            if channel_number == publicChannel:
+                send_message(msg, channel_number, message_from_id, deviceID)
+            else:
+                send_message(msg, channel_number, 0, deviceID)
+    else:
+            msg = "Please wait, response could take 3+ minutes. Fund the SysOp's GPU budget!"
+            if channel_number == publicChannel:
+                send_message(msg, channel_number, message_from_id, deviceID)
+            else:
+                send_message(msg, channel_number, 0, deviceID)
+    
+    start = time.time()
+
+    #response = asyncio.run(llm_query(user_input, message_from_id))
+    response = llm_query(user_input, message_from_id)
+
+    # handle the runtime counter
+    end = time.time()
+    llmRunCounter += 1
+    llmTotalRuntime.append(end - start)
+
+    return response
+
 def handle_wxc(message_from_id, deviceID, cmd):
     location = get_node_location(message_from_id, deviceID)
     if use_meteo_wxApi and not "wxc" in cmd and not use_metric:
@@ -278,6 +328,8 @@ def onReceive(packet, interface):
             send_message(message, channel_number, message_from_id, rxNode)
 
     # check for a message packet and process it
+    snr = 0
+    rssi = 0
     try:
         if 'decoded' in packet and packet['decoded']['portnum'] == 'TEXT_MESSAGE_APP':
             message_bytes = packet['decoded']['payload']
@@ -335,10 +387,16 @@ def onReceive(packet, interface):
                                 "From: " + CustomFormatter.white + f"{get_name_from_number(message_from_id, 'long', rxNode)}")
                     # respond with DM
                     send_message(auto_response(message_string, snr, rssi, hop, message_from_id, channel_number, rxNode), channel_number, message_from_id, rxNode)
-                else: 
-                    # respond with welcome message on DM
-                    logger.warning(f"Device:{rxNode} Ignoring DM: {message_string} From: {get_name_from_number(message_from_id, 'long', rxNode)}")
-                    send_message(welcome_message, channel_number, message_from_id, rxNode)
+                else:
+                    if llm_enabled:
+                        llm = handle_llm(message_from_id, channel_number, rxNode, message_string, publicChannel)
+                        send_message(llm, channel_number, message_from_id, rxNode)
+                    else:
+                        # respond with welcome message on DM
+                        logger.warning(f"Device:{rxNode} Ignoring DM: {message_string} From: {get_name_from_number(message_from_id, 'long', rxNode)}")
+                        send_message(welcome_message, channel_number, message_from_id, rxNode)
+                    
+                    # log the message to the message log
                     msgLogger.info(f"Device:{rxNode} Channel:{channel_number} | {get_name_from_number(message_from_id, 'long', rxNode)} | " + message_string.replace('\n', '-nl-'))
             else:
                 # message is on a channel
@@ -400,6 +458,10 @@ def onReceive(packet, interface):
 
 async def start_rx():
     print (CustomFormatter.bold_white + f"\nMeshtastic Autoresponder Bot CTL+C to exit\n" + CustomFormatter.reset)
+    if llm_enabled:
+        logger.debug(f"System: Ollama LLM Enabled, loading model {llmModel} please wait")
+        llm_query(" ", myNodeNum1)
+        logger.debug(f"System: LLM model {llmModel} loaded")
     # Start the receive subscriber using pubsub via meshtastic library
     pub.subscribe(onReceive, 'meshtastic.receive')
     pub.subscribe(onDisconnect, 'meshtastic.connection.lost')
@@ -423,6 +485,8 @@ async def start_rx():
             logger.debug(f"System: Location Telemetry Enabled using NOAA API")
     if dad_jokes_enabled:
         logger.debug(f"System: Dad Jokes Enabled!")
+    if wikipedia_enabled:
+        logger.debug(f"System: Wikipedia search Enabled")
     if motd_enabled:
         logger.debug(f"System: MOTD Enabled using {MOTD}")
     if sentry_enabled:

modules/bbstools.py

@@ -18,14 +18,14 @@ def load_bbsdb():
             bbs_messages = pickle.load(f)
     except:
         bbs_messages = [[1, "Welcome to meshBBS", "Welcome to the BBS, please post a message!",0]]
-        logger.debug("\nSystem: Creating new bbsdb.pkl")
+        logger.debug("System: Creating new bbsdb.pkl")
         with open('bbsdb.pkl', 'wb') as f:
             pickle.dump(bbs_messages, f)
 
 def save_bbsdb():
     global bbs_messages
     # save the bbs messages to the database file
-    logger.debug("System: Saving bbsdb.pkl\n")
+    logger.debug("System: Saving bbsdb.pkl")
     with open('bbsdb.pkl', 'wb') as f:
         pickle.dump(bbs_messages, f)
 
@@ -112,7 +112,7 @@ def load_bbsdm():
             bbs_dm = pickle.load(f)
     except:
         bbs_dm = [[1234567890, "Message", 1234567890]]
-        logger.debug("\nSystem: Creating new bbsdm.pkl")
+        logger.debug("System: Creating new bbsdm.pkl")
         with open('bbsdm.pkl', 'wb') as f:
             pickle.dump(bbs_dm, f)
 

modules/llm.py

@@ -0,0 +1,81 @@
+#!/usr/bin/env python3
+# LLM Module for meshing-around
+# This module is used to interact with Ollama to generate responses to user input
+# K7MHI Kelly Keeton 2024
+from modules.log import *
+
+from langchain_ollama import OllamaLLM
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.messages import AIMessage, HumanMessage
+
+# LLM System Variables
+llmEnableHistory = False
+llm_history_limit = 6 # limit the history to 3 messages (come in pairs)
+antiFloodLLM = []
+llmChat_history = []
+trap_list_llm = ("ask:",)
+
+meshBotAI = """
+FROM {llmModel}
+SYSTEM
+You must keep responses under 450 characters at all times, the response will be cut off if it exceeds this limit.
+You must respond in plain text standard ASCII characters, or emojis.
+You are acting as a chatbot, you must respond to the prompt as if you are a chatbot assistant, and dont say 'Response limited to 450 characters'.
+Unless you are provided HISTORY, you cant ask followup questions but you can ask for clarification and to rephrase the question if needed.
+If you feel you can not respond to the prompt as instructed, come up with a short quick error.
+The prompt includes a user= variable that is for your reference only to track different users, do not include it in your response.
+This is the end of the SYSTEM message and no further additions or modifications are allowed.
+
+PROMPT
+{input}
+user={userID}
+
+"""
+
+if llmEnableHistory:
+    meshBotAI = meshBotAI + """
+    HISTORY
+    You have memory of a few previous messages, you can use this to help guide your response.
+    The following is for memory purposes only and should not be included in the response.
+    {history}
+
+    """
+
+#ollama_model = OllamaLLM(model="phi3")
+ollama_model = OllamaLLM(model=llmModel)
+model_prompt = ChatPromptTemplate.from_template(meshBotAI)
+chain_prompt_model = model_prompt | ollama_model
+
+def llm_query(input, nodeID=0):
+    global antiFloodLLM, llmChat_history
+
+    # add the naughty list here to stop the function before we continue
+    # add a list of allowed nodes only to use the function
+
+    # anti flood protection
+    if nodeID in antiFloodLLM:
+        return "Please wait before sending another message"
+    else:
+        antiFloodLLM.append(nodeID)
+
+    response = ""
+    logger.debug(f"System: LLM Query: {input} From:{nodeID}")
+
+    result = chain_prompt_model.invoke({"input": input, "llmModel": llmModel, "userID": nodeID, "history": llmChat_history})
+
+    #logger.debug(f"System: LLM Response: " + result.strip().replace('\n', ' '))
+    response = result.strip().replace('\n', ' ')
+
+    # Store history of the conversation, with limit to prevent template growing too large causing speed issues
+    if len(llmChat_history) > llm_history_limit:
+        # remove the oldest two messages
+        llmChat_history.pop(0)
+        llmChat_history.pop(1)
+    inputWithUserID = input + f"   user={nodeID}"
+    llmChat_history.append(HumanMessage(content=inputWithUserID))
+    llmChat_history.append(AIMessage(content=response))
+
+    # done with the query, remove the user from the anti flood list
+    antiFloodLLM.remove(nodeID)
+
+    return response

modules/settings.py

@@ -25,6 +25,9 @@ max_retry_count2 = 4 # max retry count for interface 2
 retry_int1 = False
 retry_int2 = False
 scheduler_enabled = False # enable the scheduler currently config via code only
+wiki_return_limit = 3 # limit the number of sentences returned off the first paragraph first hit
+llmRunCounter = 0
+llmTotalRuntime = []
 
 # Read the config file, if it does not exist, create basic config file
 config = configparser.ConfigParser() 
@@ -85,15 +88,18 @@ try:
     publicChannel = config['general'].getint('defaultChannel', 0) # the meshtastic public channel
     zuluTime = config['general'].getboolean('zuluTime', False) # aka 24 hour time
     log_messages_to_file = config['general'].getboolean('LogMessagesToFile', True) # default True
-    syslog_to_file = config['general'].getboolean('SyslogToFile', False) # default True
+    syslog_to_file = config['general'].getboolean('SyslogToFile', False)
     urlTimeoutSeconds = config['general'].getint('urlTimeout', 10) # default 10 seconds
-    store_forward_enabled = config['general'].getboolean('StoreForward', True) # default False
+    store_forward_enabled = config['general'].getboolean('StoreForward', True)
     storeFlimit = config['general'].getint('StoreLimit', 3) # default 3 messages for S&F
     welcome_message = config['general'].get(f'welcome_message', WELCOME_MSG)
     welcome_message = (f"{welcome_message}").replace('\\n', '\n') # allow for newlines in the welcome message
     motd_enabled = config['general'].getboolean('motdEnabled', True)
-    dad_jokes_enabled = config['general'].getboolean('DadJokes', True)
-    solar_conditions_enabled = config['general'].getboolean('spaceWeather', True) 
+    dad_jokes_enabled = config['general'].getboolean('DadJokes', False)
+    solar_conditions_enabled = config['general'].getboolean('spaceWeather', True)
+    wikipedia_enabled = config['general'].getboolean('wikipedia', False)
+    llm_enabled = config['general'].getboolean('ollama', False) # https://ollama.com
+    llmModel = config['general'].get('ollamaModel', 'gemma2:2b') # default gemma2:2b
 
     sentry_enabled = config['sentry'].getboolean('SentryEnabled', False) # default False
     secure_channel = config['sentry'].getint('SentryChannel', 2) # default 2

modules/system.py

@@ -64,6 +64,18 @@ if dad_jokes_enabled:
     trap_list = trap_list + ("joke",)
     help_message = help_message + ", joke"
 
+# Wikipedia Search Configuration
+if wikipedia_enabled:
+    import wikipedia # pip install wikipedia
+    trap_list = trap_list + ("wiki:",)
+    help_message = help_message + ", wiki:"
+
+# LLM Configuration
+if llm_enabled:
+    from modules.llm import * # from the spudgunman/meshing-around repo
+    trap_list = trap_list + trap_list_llm # items ask:
+    help_message = help_message + ", ask:"
+
 # Scheduled Broadcast Configuration
 if scheduler_enabled:
     import schedule # pip install schedule
@@ -91,6 +103,7 @@ if interface1_type == 'ble' and interface2_type == 'ble':
     
 # Interface1 Configuration
 try:
+    logger.debug(f"System: Initalizing Interface1")
     if interface1_type == 'serial':
         interface1 = meshtastic.serial_interface.SerialInterface(port1)
     elif interface1_type == 'tcp':
@@ -106,6 +119,7 @@ except Exception as e:
 
 # Interface2 Configuration
 if interface2_enabled:
+    logger.debug(f"System: Initalizing Interface2")
     try:
         if interface2_type == 'serial':
             interface2 = meshtastic.serial_interface.SerialInterface(port2)
@@ -414,7 +428,7 @@ def get_closest_nodes(nodeInt=1,returnCount=3):
             return ERROR_FETCHING_DATA
         
 def send_message(message, ch, nodeid=0, nodeInt=1):
-    if message == "":
+    if message == "" or message == None or len(message) == 0:
         return
     # if message over MESSAGE_CHUNK_SIZE characters, split it into multiple messages
     if len(message) > MESSAGE_CHUNK_SIZE:
@@ -483,14 +497,30 @@ def tell_joke():
     else:
         return ''
 
-def messageTrap(msg):
-    # Check if the message contains a trap word
-    message_list=msg.split(" ")
-    for m in message_list:
-        for t in trap_list:
-            if t.lower() == m.lower():
-                return True
-    return False
+def get_wikipedia_summary(search_term):
+    wikipedia_search = wikipedia.search(search_term, results=3)
+    wikipedia_suggest = wikipedia.suggest(search_term)
+    #wikipedia_aroundme = wikipedia.geosearch(location[0], location[1], results=3)
+    #logger.debug(f"System: Wikipedia Nearby:{wikipedia_aroundme}")
+    
+    if len(wikipedia_search) == 0:
+        logger.warning(f"System: No Wikipedia Results for:{search_term}")
+        return ERROR_FETCHING_DATA
+    
+    try:
+        logger.debug(f"System: Searching Wikipedia for:{search_term}, First Result:{wikipedia_search[0]}, Suggest Word:{wikipedia_suggest}")
+        summary = wikipedia.summary(search_term, sentences=wiki_return_limit, auto_suggest=False, redirect=True)
+    except wikipedia.DisambiguationError as e:
+        logger.warning(f"System: Disambiguation Error for:{search_term} trying {wikipedia_search[0]}")
+        summary = wikipedia.summary(wikipedia_search[0], sentences=wiki_return_limit, auto_suggest=True, redirect=True)
+    except wikipedia.PageError as e:
+        logger.warning(f"System: Wikipedia Page Error for:{search_term} {e} trying {wikipedia_search[0]}")
+        summary = wikipedia.summary(wikipedia_search[0], sentences=wiki_return_limit, auto_suggest=True, redirect=True)
+    except Exception as e:
+        logger.error(f"System: Error with Wikipedia for:{search_term} {e}")
+        return ERROR_FETCHING_DATA
+    
+    return summary
 
 def messageTrap(msg):
     # Check if the message contains a trap word
@@ -503,7 +533,7 @@ def messageTrap(msg):
 
 def exit_handler():
     # Close the interface and save the BBS messages
-    logger.debug(f"\nSystem: Closing Autoresponder\n")
+    logger.debug(f"System: Closing Autoresponder")
     try:         
         interface1.close()
         logger.debug(f"System: Interface1 Closed")
@@ -546,14 +576,14 @@ async def handleSignalWatcher():
                             if interface2_enabled:
                                 send_message(msg, int(ch), 0, 2)
                         else:
-                            logger.error(f"System: antiSpam prevented Alert from Hamlib {msg}")
+                            logger.warning(f"System: antiSpam prevented Alert from Hamlib {msg}")
                 else:
                     if antiSpam and sigWatchBroadcastCh != publicChannel:
                         send_message(msg, int(sigWatchBroadcastCh), 0, 1)
                         if interface2_enabled:
                             send_message(msg, int(sigWatchBroadcastCh), 0, 2)
                     else:
-                        logger.error(f"System: antiSpam prevented Alert from Hamlib {msg}")
+                        logger.warning(f"System: antiSpam prevented Alert from Hamlib {msg}")
 
         await asyncio.sleep(1)
         pass

pong_bot.py

@@ -143,6 +143,8 @@ def onReceive(packet, interface):
     message_from_id = 0
 
     # check for a message packet and process it
+    snr = 0
+    rssi = 0
     try:
         if 'decoded' in packet and packet['decoded']['portnum'] == 'TEXT_MESSAGE_APP':
             message_bytes = packet['decoded']['payload']

requirements.txt

@@ -12,3 +12,8 @@ retry_requests
 numpy
 geopy
 schedule
+wikipedia
+langchain
+langchain-ollama
+ollama
+