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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+ruff.exe filter=lfs diff=lfs merge=lfs -text

.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----
+MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
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+-----END CERTIFICATE-----

Activate.ps1

@@ -0,0 +1,502 @@
+<#
+.Synopsis
+Activate a Python virtual environment for the current PowerShell session.
+
+.Description
+Pushes the python executable for a virtual environment to the front of the
+$Env:PATH environment variable and sets the prompt to signify that you are
+in a Python virtual environment. Makes use of the command line switches as
+well as the `pyvenv.cfg` file values present in the virtual environment.
+
+.Parameter VenvDir
+Path to the directory that contains the virtual environment to activate. The
+default value for this is the parent of the directory that the Activate.ps1
+script is located within.
+
+.Parameter Prompt
+The prompt prefix to display when this virtual environment is activated. By
+default, this prompt is the name of the virtual environment folder (VenvDir)
+surrounded by parentheses and followed by a single space (ie. '(.venv) ').
+
+.Example
+Activate.ps1
+Activates the Python virtual environment that contains the Activate.ps1 script.
+
+.Example
+Activate.ps1 -Verbose
+Activates the Python virtual environment that contains the Activate.ps1 script,
+and shows extra information about the activation as it executes.
+
+.Example
+Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv
+Activates the Python virtual environment located in the specified location.
+
+.Example
+Activate.ps1 -Prompt "MyPython"
+Activates the Python virtual environment that contains the Activate.ps1 script,
+and prefixes the current prompt with the specified string (surrounded in
+parentheses) while the virtual environment is active.
+
+.Notes
+On Windows, it may be required to enable this Activate.ps1 script by setting the
+execution policy for the user. You can do this by issuing the following PowerShell
+command:
+
+PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
+
+For more information on Execution Policies: 
+https://go.microsoft.com/fwlink/?LinkID=135170
+
+#>
+Param(
+    [Parameter(Mandatory = $false)]
+    [String]
+    $VenvDir,
+    [Parameter(Mandatory = $false)]
+    [String]
+    $Prompt
+)
+
+<# Function declarations --------------------------------------------------- #>
+
+<#
+.Synopsis
+Remove all shell session elements added by the Activate script, including the
+addition of the virtual environment's Python executable from the beginning of
+the PATH variable.
+
+.Parameter NonDestructive
+If present, do not remove this function from the global namespace for the
+session.
+
+#>
+function global:deactivate ([switch]$NonDestructive) {
+    # Revert to original values
+
+    # The prior prompt:
+    if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) {
+        Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt
+        Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT
+    }
+
+    # The prior PYTHONHOME:
+    if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) {
+        Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME
+        Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME
+    }
+
+    # The prior PATH:
+    if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) {
+        Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH
+        Remove-Item -Path Env:_OLD_VIRTUAL_PATH
+    }
+
+    # Just remove the VIRTUAL_ENV altogether:
+    if (Test-Path -Path Env:VIRTUAL_ENV) {
+        Remove-Item -Path env:VIRTUAL_ENV
+    }
+
+    # Just remove VIRTUAL_ENV_PROMPT altogether.
+    if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) {
+        Remove-Item -Path env:VIRTUAL_ENV_PROMPT
+    }
+
+    # Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether:
+    if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) {
+        Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force
+    }
+
+    # Leave deactivate function in the global namespace if requested:
+    if (-not $NonDestructive) {
+        Remove-Item -Path function:deactivate
+    }
+}
+
+<#
+.Description
+Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the
+given folder, and returns them in a map.
+
+For each line in the pyvenv.cfg file, if that line can be parsed into exactly
+two strings separated by `=` (with any amount of whitespace surrounding the =)
+then it is considered a `key = value` line. The left hand string is the key,
+the right hand is the value.
+
+If the value starts with a `'` or a `"` then the first and last character is
+stripped from the value before being captured.
+
+.Parameter ConfigDir
+Path to the directory that contains the `pyvenv.cfg` file.
+#>
+function Get-PyVenvConfig(
+    [String]
+    $ConfigDir
+) {
+    Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg"
+
+    # Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue).
+    $pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue
+
+    # An empty map will be returned if no config file is found.
+    $pyvenvConfig = @{ }
+
+    if ($pyvenvConfigPath) {
+
+        Write-Verbose "File exists, parse `key = value` lines"
+        $pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath
+
+        $pyvenvConfigContent | ForEach-Object {
+            $keyval = $PSItem -split "\s*=\s*", 2
+            if ($keyval[0] -and $keyval[1]) {
+                $val = $keyval[1]
+
+                # Remove extraneous quotations around a string value.
+                if ("'""".Contains($val.Substring(0, 1))) {
+                    $val = $val.Substring(1, $val.Length - 2)
+                }
+
+                $pyvenvConfig[$keyval[0]] = $val
+                Write-Verbose "Adding Key: '$($keyval[0])'='$val'"
+            }
+        }
+    }
+    return $pyvenvConfig
+}
+
+
+<# Begin Activate script --------------------------------------------------- #>
+
+# Determine the containing directory of this script
+$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition
+$VenvExecDir = Get-Item -Path $VenvExecPath
+
+Write-Verbose "Activation script is located in path: '$VenvExecPath'"
+Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)"
+Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)"
+
+# Set values required in priority: CmdLine, ConfigFile, Default
+# First, get the location of the virtual environment, it might not be
+# VenvExecDir if specified on the command line.
+if ($VenvDir) {
+    Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values"
+}
+else {
+    Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir."
+    $VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/")
+    Write-Verbose "VenvDir=$VenvDir"
+}
+
+# Next, read the `pyvenv.cfg` file to determine any required value such
+# as `prompt`.
+$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir
+
+# Next, set the prompt from the command line, or the config file, or
+# just use the name of the virtual environment folder.
+if ($Prompt) {
+    Write-Verbose "Prompt specified as argument, using '$Prompt'"
+}
+else {
+    Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value"
+    if ($pyvenvCfg -and $pyvenvCfg['prompt']) {
+        Write-Verbose "  Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'"
+        $Prompt = $pyvenvCfg['prompt'];
+    }
+    else {
+        Write-Verbose "  Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)"
+        Write-Verbose "  Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'"
+        $Prompt = Split-Path -Path $venvDir -Leaf
+    }
+}
+
+Write-Verbose "Prompt = '$Prompt'"
+Write-Verbose "VenvDir='$VenvDir'"
+
+# Deactivate any currently active virtual environment, but leave the
+# deactivate function in place.
+deactivate -nondestructive
+
+# Now set the environment variable VIRTUAL_ENV, used by many tools to determine
+# that there is an activated venv.
+$env:VIRTUAL_ENV = $VenvDir
+
+if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) {
+
+    Write-Verbose "Setting prompt to '$Prompt'"
+
+    # Set the prompt to include the env name
+    # Make sure _OLD_VIRTUAL_PROMPT is global
+    function global:_OLD_VIRTUAL_PROMPT { "" }
+    Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT
+    New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt
+
+    function global:prompt {
+        Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) "
+        _OLD_VIRTUAL_PROMPT
+    }
+    $env:VIRTUAL_ENV_PROMPT = $Prompt
+}
+
+# Clear PYTHONHOME
+if (Test-Path -Path Env:PYTHONHOME) {
+    Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME
+    Remove-Item -Path Env:PYTHONHOME
+}
+
+# Add the venv to the PATH
+Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH
+$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH"
+
+# SIG # Begin signature block
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+# SIG # End signature block

GradioLMstudioInterface.py

@@ -0,0 +1,103 @@
+import gradio as gr
+import requests
+
+# LM Studio REST API base URL
+BASE_URL = "http://localhost:1234/api/v0"
+
+# Function to handle chat completions
+def chat_with_lmstudio(messages):
+    url = f"{BASE_URL}/chat/completions"
+    payload = {
+        "model": "granite-3.0-2b-instruct",  # Replace with the model you have loaded
+        "messages": messages,
+        "temperature": 0.7,
+        "max_tokens": 1024,
+        "stream": False
+    }
+    response = requests.post(url, json=payload)
+    response.raise_for_status()
+    response_data = response.json()
+    return response_data['choices'][0]['message']['content']
+
+# Function to handle text completions
+def get_text_completion(prompt):
+    url = f"{BASE_URL}/completions"
+    payload = {
+        "model": "granite-3.0-2b-instruct",  # Replace with the model you have loaded
+        "prompt": prompt,
+        "temperature": 0.7,
+        "max_tokens": 100,
+        "stream": False
+    }
+    response = requests.post(url, json=payload)
+    response.raise_for_status()
+    response_data = response.json()
+    return response_data['choices'][0]['text']
+
+# Function to handle text embeddings
+def get_text_embedding(text):
+    url = f"{BASE_URL}/embeddings"
+    payload = {
+        "model": "text-embedding-nomic-embed-text-v1.5",  # Replace with your embedding model
+        "input": text
+    }
+    response = requests.post(url, json=payload)
+    response.raise_for_status()
+    response_data = response.json()
+    return response_data['data'][0]['embedding']
+
+# Gradio interface for chat
+def gradio_chat_interface():
+    def chat_interface(user_input, history):
+        # Format history in LM Studio messages format
+        messages = []
+        for user_msg, assistant_msg in history:
+            messages.append({"role": "user", "content": user_msg})
+            messages.append({"role": "assistant", "content": assistant_msg})
+        messages.append({"role": "user", "content": user_input})
+        
+        # Get response from LM Studio
+        response = chat_with_lmstudio(messages)
+        
+        # Update history with the assistant's response
+        history.append((user_input, response))
+        return history, history
+
+    chat_interface = gr.ChatInterface(chat_interface)
+    chat_interface.launch()
+
+# Gradio interface for text completion
+def gradio_text_completion():
+    gr.Interface(
+        fn=get_text_completion,
+        inputs="text",
+        outputs="text",
+        title="Text Completion with LM Studio"
+    ).launch()
+
+# Gradio interface for text embedding
+def gradio_text_embedding():
+    gr.Interface(
+        fn=get_text_embedding,
+        inputs="text",
+        outputs="text",
+        title="Text Embedding with LM Studio"
+    ).launch()
+
+# Main menu to choose the interface
+def main():
+    with gr.Blocks() as demo:
+        gr.Markdown("""
+        # LM Studio API Interface
+        Choose which function you want to use with LM Studio:
+        """)
+        
+        with gr.Row():
+            gr.Button("Chat with Model").click(gradio_chat_interface)
+            gr.Button("Text Completion").click(gradio_text_completion)
+            gr.Button("Text Embedding").click(gradio_text_embedding)
+
+    demo.launch()
+
+if __name__ == "__main__":
+    main()

README.md

@@ -1,12 +1,6 @@
 ---
 title: Scripts
-emoji: 🏆
-colorFrom: green
-colorTo: gray
+app_file: GradioLMstudioInterface.py
 sdk: gradio
 sdk_version: 5.7.1
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

activate

@@ -0,0 +1,70 @@
+# This file must be used with "source bin/activate" *from bash*
+# You cannot run it directly
+
+deactivate () {
+    # reset old environment variables
+    if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
+        PATH="${_OLD_VIRTUAL_PATH:-}"
+        export PATH
+        unset _OLD_VIRTUAL_PATH
+    fi
+    if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
+        PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
+        export PYTHONHOME
+        unset _OLD_VIRTUAL_PYTHONHOME
+    fi
+
+    # Call hash to forget past commands. Without forgetting
+    # past commands the $PATH changes we made may not be respected
+    hash -r 2> /dev/null
+
+    if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
+        PS1="${_OLD_VIRTUAL_PS1:-}"
+        export PS1
+        unset _OLD_VIRTUAL_PS1
+    fi
+
+    unset VIRTUAL_ENV
+    unset VIRTUAL_ENV_PROMPT
+    if [ ! "${1:-}" = "nondestructive" ] ; then
+    # Self destruct!
+        unset -f deactivate
+    fi
+}
+
+# unset irrelevant variables
+deactivate nondestructive
+
+# on Windows, a path can contain colons and backslashes and has to be converted:
+if [ "${OSTYPE:-}" = "cygwin" ] || [ "${OSTYPE:-}" = "msys" ] ; then
+    # transform D:\path\to\venv to /d/path/to/venv on MSYS
+    # and to /cygdrive/d/path/to/venv on Cygwin
+    export VIRTUAL_ENV=$(cygpath "C:\Users\alecb\Documents\LLM\venv")
+else
+    # use the path as-is
+    export VIRTUAL_ENV="C:\Users\alecb\Documents\LLM\venv"
+fi
+
+_OLD_VIRTUAL_PATH="$PATH"
+PATH="$VIRTUAL_ENV/Scripts:$PATH"
+export PATH
+
+# unset PYTHONHOME if set
+# this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
+# could use `if (set -u; : $PYTHONHOME) ;` in bash
+if [ -n "${PYTHONHOME:-}" ] ; then
+    _OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
+    unset PYTHONHOME
+fi
+
+if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
+    _OLD_VIRTUAL_PS1="${PS1:-}"
+    PS1="(venv) ${PS1:-}"
+    export PS1
+    VIRTUAL_ENV_PROMPT="(venv) "
+    export VIRTUAL_ENV_PROMPT
+fi
+
+# Call hash to forget past commands. Without forgetting
+# past commands the $PATH changes we made may not be respected
+hash -r 2> /dev/null

activate.bat

@@ -0,0 +1,34 @@
+@echo off
+
+rem This file is UTF-8 encoded, so we need to update the current code page while executing it
+for /f "tokens=2 delims=:." %%a in ('"%SystemRoot%\System32\chcp.com"') do (
+    set _OLD_CODEPAGE=%%a
+)
+if defined _OLD_CODEPAGE (
+    "%SystemRoot%\System32\chcp.com" 65001 > nul
+)
+
+set VIRTUAL_ENV=C:\Users\alecb\Documents\LLM\venv
+
+if not defined PROMPT set PROMPT=$P$G
+
+if defined _OLD_VIRTUAL_PROMPT set PROMPT=%_OLD_VIRTUAL_PROMPT%
+if defined _OLD_VIRTUAL_PYTHONHOME set PYTHONHOME=%_OLD_VIRTUAL_PYTHONHOME%
+
+set _OLD_VIRTUAL_PROMPT=%PROMPT%
+set PROMPT=(venv) %PROMPT%
+
+if defined PYTHONHOME set _OLD_VIRTUAL_PYTHONHOME=%PYTHONHOME%
+set PYTHONHOME=
+
+if defined _OLD_VIRTUAL_PATH set PATH=%_OLD_VIRTUAL_PATH%
+if not defined _OLD_VIRTUAL_PATH set _OLD_VIRTUAL_PATH=%PATH%
+
+set PATH=%VIRTUAL_ENV%\Scripts;%PATH%
+set VIRTUAL_ENV_PROMPT=(venv) 
+
+:END
+if defined _OLD_CODEPAGE (
+    "%SystemRoot%\System32\chcp.com" %_OLD_CODEPAGE% > nul
+    set _OLD_CODEPAGE=
+)

deactivate.bat

@@ -0,0 +1,22 @@
+@echo off
+
+if defined _OLD_VIRTUAL_PROMPT (
+    set "PROMPT=%_OLD_VIRTUAL_PROMPT%"
+)
+set _OLD_VIRTUAL_PROMPT=
+
+if defined _OLD_VIRTUAL_PYTHONHOME (
+    set "PYTHONHOME=%_OLD_VIRTUAL_PYTHONHOME%"
+    set _OLD_VIRTUAL_PYTHONHOME=
+)
+
+if defined _OLD_VIRTUAL_PATH (
+    set "PATH=%_OLD_VIRTUAL_PATH%"
+)
+
+set _OLD_VIRTUAL_PATH=
+
+set VIRTUAL_ENV=
+set VIRTUAL_ENV_PROMPT=
+
+:END

lmstudio_gradio.py

@@ -0,0 +1,93 @@
+import gradio as gr
+import requests
+
+# Base URL for LM Studio REST API
+BASE_URL = "http://localhost:1234/api/v0"
+
+# Chat completions function
+def chat_with_lmstudio(messages, model, temperature=0.7, max_tokens=150):
+    endpoint = f"{BASE_URL}/chat/completions"
+    payload = {
+        "model": model,
+        "messages": messages,
+        "temperature": temperature,
+        "max_tokens": max_tokens,
+        "stream": False
+    }
+    try:
+        response = requests.post(endpoint, json=payload)
+        response.raise_for_status()
+        data = response.json()
+        return data["choices"][0]["message"]["content"]
+    except requests.RequestException as e:
+        return f"Error: {str(e)}"
+
+# Text completions function
+def text_completion(prompt, model, temperature=0.7, max_tokens=150):
+    endpoint = f"{BASE_URL}/completions"
+    payload = {
+        "model": model,
+        "prompt": prompt,
+        "temperature": temperature,
+        "max_tokens": max_tokens,
+        "stream": False
+    }
+    try:
+        response = requests.post(endpoint, json=payload)
+        response.raise_for_status()
+        data = response.json()
+        return data["choices"][0]["text"]
+    except requests.RequestException as e:
+        return f"Error: {str(e)}"
+
+# Embeddings function
+def text_embedding(text, model):
+    endpoint = f"{BASE_URL}/embeddings"
+    payload = {
+        "model": model,
+        "input": text
+    }
+    try:
+        response = requests.post(endpoint, json=payload)
+        response.raise_for_status()
+        data = response.json()
+        return data["data"][0]["embedding"]
+    except requests.RequestException as e:
+        return f"Error: {str(e)}"
+
+# Gradio Interface
+def chat_interface(user_message, history, model="granite-3.0-2b-instruct"):
+    if history is None:
+        history = []
+    history.append({"role": "user", "content": user_message})
+    assistant_response = chat_with_lmstudio(history, model=model)
+    history.append({"role": "assistant", "content": assistant_response})
+    conversation = [(h["content"], history[i+1]["content"]) for i, h in enumerate(history[:-1]) if h["role"] == "user"]
+    return conversation, history
+
+with gr.Blocks() as demo:
+    gr.Markdown("# LM Studio API Interface")
+
+    with gr.Tab("Chat with Model"):
+        chat_history = gr.State([])
+        chat_model = gr.Textbox(value="granite-3.0-2b-instruct", label="Model")
+        chatbot = gr.Chatbot()
+        msg = gr.Textbox(placeholder="Enter your message", label="User Input")
+        submit_btn = gr.Button("Send")
+        submit_btn.click(chat_interface, inputs=[msg, chat_history, chat_model], outputs=[chatbot, chat_history])
+
+    with gr.Tab("Text Completion"):
+        completion_prompt = gr.Textbox(placeholder="Enter a prompt for text completion", label="Prompt")
+        completion_model = gr.Textbox(value="granite-3.0-2b-instruct", label="Model")
+        completion_output = gr.Textbox(label="Completion")
+        generate_btn = gr.Button("Generate")
+        generate_btn.click(text_completion, inputs=[completion_prompt, completion_model], outputs=completion_output)
+
+    with gr.Tab("Text Embeddings"):
+        embedding_text = gr.Textbox(placeholder="Enter text for embeddings", label="Input Text")
+        embedding_model = gr.Textbox(value="text-embedding-nomic-embed-text-v1.5", label="Model")
+        embedding_output = gr.JSON(label="Embeddings")
+        embed_btn = gr.Button("Get Embeddings")
+        embed_btn.click(text_embedding, inputs=[embedding_text, embedding_model], outputs=embedding_output)
+
+    demo.launch(share=True)

main.py

@@ -0,0 +1,113 @@
+from __future__ import annotations
+from typing import AsyncIterable, List, Dict
+import requests
+from fastapi_poe import PoeBot, QueryRequest, PartialResponse, SettingsRequest, SettingsResponse, make_app
+from fastapi import Header, HTTPException
+from modal import Image, App, asgi_app
+import os
+
+# LM Studio endpoint configurations (reuse ngrok URL)
+NGROK_URL = "https://fca7-2601-2c1-280-1320-b881-aac7-9186-9365.ngrok-free.app"
+LM_STUDIO_CHAT_URL = f"{NGROK_URL}/api/v0/chat/completions"
+LM_STUDIO_EMBEDDINGS_URL = f"{NGROK_URL}/api/v0/embeddings"
+
+# Hardcoded model name for LM Studio
+MODEL_NAME = "bartowski/Qwen2.5-Coder-32B-Instruct-GGUF/Qwen2.5-Coder-32B-Instruct-IQ2_M.gguf"
+
+# Poe bot access key for the new bot
+NEW_BOT_ACCESS_KEY = "Kskn3sHdJh7nkVWGcpwcGOIHYSrsML3l"
+
+# Dictionary to track user-specific conversation history
+user_histories: Dict[str, List[dict]] = {}
+
+class main(PoeBot):
+    async def get_response(
+        self, request: QueryRequest, authorization: str = Header(...)
+    ) -> AsyncIterable[PartialResponse]:
+        """
+        Handle user queries dynamically while validating the Poe access key.
+        """
+        # Validate the Poe access key
+        if authorization != NEW_BOT_ACCESS_KEY:
+            print("Warning: Unauthorized access key used.")
+            # Proceed without raising an error for testing purposes
+
+        # Extract user identifier
+        user_id = request.user_id if hasattr(request, "user_id") else str(hash(request))
+        if not user_id:
+            yield PartialResponse(text="Error: User identifier not provided.")
+            return
+
+        # Extract user message
+        user_message = request.query[-1].content  # Latest user input
+
+        # Get or create user-specific conversation history
+        if user_id not in user_histories:
+            user_histories[user_id] = []
+        conversation_history = user_histories[user_id]
+
+        try:
+            # 1. Update conversation history with the user message
+            conversation_history.append({"role": "user", "content": user_message})
+
+            # 2. Generate response based on conversation history
+            response_text = self.get_chat_completion(conversation_history)
+
+            # 3. Add bot response to conversation history
+            conversation_history.append({"role": "assistant", "content": response_text})
+
+            # 4. Yield the response
+            yield PartialResponse(text=response_text.strip())
+        except Exception as e:
+            # Graceful error handling
+            yield PartialResponse(text=f"An error occurred: {e}")
+
+    def get_chat_completion(self, messages: List[dict]) -> str:
+        """
+        Send a chat completion request to LM Studio's /api/v0/chat/completions endpoint.
+        """
+        payload = {
+            "model": MODEL_NAME,
+            "messages": messages,
+            "temperature": 0.7,  # Adjusted temperature for different bot behavior
+            "max_tokens": 1024,  # Increased max tokens
+            "stream": False  # Do not use streaming for now
+        }
+        response = requests.post(LM_STUDIO_CHAT_URL, json=payload, timeout=30)  # Increased timeout
+        response.raise_for_status()
+        generated_text = response.json().get("choices", [{}])[0].get("message", {}).get("content", "")
+
+        # Fallback in case of empty content
+        if not generated_text:
+            generated_text = "I'm sorry, I couldn't generate a response. Could you please try again?"
+        
+        return generated_text
+
+    def get_embeddings(self, text: str) -> str:
+        """
+        Generate text embeddings using LM Studio's /api/v0/embeddings endpoint.
+        """
+        payload = {"model": "openai/clip-vit-base-patch32", "input": text}  # Update model if needed
+        response = requests.post(LM_STUDIO_EMBEDDINGS_URL, json=payload, timeout=10)
+        response.raise_for_status()
+        embedding = response.json().get("data", [{}])[0].get("embedding", [])
+        return f"Embeddings: {embedding}"
+
+    async def get_settings(self, setting: SettingsRequest) -> SettingsResponse:
+        """
+        Configure the bot's capabilities for Poe, such as enabling attachments.
+        """
+        return SettingsResponse(
+            allow_attachments=False,  # Disable file uploads for now
+        )
+
+# Modal configuration for the new bot
+REQUIREMENTS = ["fastapi-poe==0.0.24", "requests==2.31.0"]
+image = Image.debian_slim().pip_install(REQUIREMENTS)
+new_app = App("another-secure-lmstudio-poe-bot")
+
+@new_app.function(image=image)
+@asgi_app()
+def fastapi_app():
+    bot = AnotherSecureLMStudioBot()
+    return make_app(bot, allow_without_key=True)

main2.py

@@ -0,0 +1,200 @@
+from __future__ import annotations
+from typing import AsyncIterable, Dict, Deque
+from collections import deque
+import requests
+from fastapi_poe import (
+    PoeBot,
+    QueryRequest,
+    PartialResponse,
+    SettingsRequest,
+    SettingsResponse,
+    make_app,
+)
+from fastapi import Header
+from modal import Image, App, asgi_app, Volume, Mount
+import os
+import json
+import re
+import tempfile
+import shutil
+import logging
+
+# LM Studio endpoint configurations
+NGROK_URL = "https://fca7-2601-2c1-280-1320-b881-aac7-9186-9365.ngrok-free.app"
+LM_STUDIO_CHAT_URL = f"{NGROK_URL}/v1/chat/completions"
+
+# Hardcoded model name for LM Studio
+MODEL_NAME = "bartowski/Qwen2.5-Coder-32B-Instruct-GGUF/Qwen2.5-Coder-32B-Instruct-IQ2_M.gguf"
+
+# Poe bot access key for the new bot
+NEW_BOT_ACCESS_KEY = "YOUR_ACCESS_KEY_HERE"  # Replace with your actual access key
+
+# Path to store conversation history in volume
+VOLUME_PATH = "/data/user_histories.json"
+
+# Configure logging
+logging.basicConfig(level=logging.INFO, format='[%(asctime)s] [%(levelname)s] %(message)s')
+
+# Dictionary to track user-specific conversation history (initially empty)
+user_histories: Dict[str, Deque[dict]] = {}
+
+# Set a maximum number of messages to keep in the history
+MAX_HISTORY_MESSAGES = 50  # Adjustable based on expected conversation length
+
+# Load existing conversation history from volume if available
+if os.path.exists(VOLUME_PATH):
+    try:
+        with open(VOLUME_PATH, "r") as f:
+            user_histories = {
+                user_id: deque(history, maxlen=MAX_HISTORY_MESSAGES)
+                for user_id, history in json.load(f).items()
+            }
+        logging.info("Loaded existing conversation histories.")
+    except Exception as e:
+        logging.error(f"Failed to load user histories: {e}")
+        user_histories = {}
+else:
+    logging.info("No existing conversation history found. Initializing a new history store.")
+
+class AnotherSecureLMStudioBot(PoeBot):
+    async def get_response(
+        self, request: QueryRequest, authorization: str = Header(...)
+    ) -> AsyncIterable[PartialResponse]:
+        """
+        Handle user queries dynamically while validating the Poe access key.
+        """
+        # Validate the Poe access key
+        if authorization != NEW_BOT_ACCESS_KEY:
+            logging.warning("Unauthorized access key used.")
+            # Proceed without raising an error for testing purposes
+
+        # Extract user identifier
+        user_id = self.get_user_id(request)
+        if not user_id:
+            yield PartialResponse(text="Error: User identifier not provided.")
+            return
+
+        # Get or create user-specific conversation history
+        if user_id not in user_histories:
+            user_histories[user_id] = deque(maxlen=MAX_HISTORY_MESSAGES)
+            logging.info(f"Initializing new conversation history for user {user_id}.")
+        conversation_history = user_histories[user_id]
+
+        # Extract the user's message
+        user_message = request.query[-1].content
+
+        # Sanitize user input to prevent injection attacks
+        user_message = re.sub(r"[<>]", "", user_message)
+
+        # Append the user's message to the conversation history
+        conversation_history.append({"role": "user", "content": user_message})
+
+        # Log the conversation history before generating a response
+        logging.info(f"Conversation history for user {user_id}: {list(conversation_history)}")
+
+        try:
+            # Generate response based on conversation history
+            response_text = self.get_chat_completion_with_context(conversation_history)
+
+            # Add bot response to conversation history
+            conversation_history.append({"role": "assistant", "content": response_text})
+
+            # Log the response generated
+            logging.info(f"Generated response for user {user_id}: {response_text}")
+
+            # Save updated conversation history to volume
+            self.save_conversation_history()
+        except Exception as e:
+            # Graceful error handling
+            logging.error(f"An error occurred while processing the request for user {user_id}: {e}")
+            response_text = f"An error occurred: {e}"
+
+        # Yield the response
+        yield PartialResponse(text=response_text.strip())
+
+    def get_user_id(self, request: QueryRequest) -> str:
+        """
+        Extract or generate a unique user identifier.
+        """
+        # Use request.user_id if available
+        if hasattr(request, 'user_id') and request.user_id:
+            return request.user_id
+
+        # Fallback: use a fixed identifier
+        return "default_user_id"
+
+    def get_chat_completion_with_context(self, conversation_history: Deque[dict]) -> str:
+        """
+        Send a chat completion request to LM Studio's /v1/chat/completions endpoint,
+        including the full conversation history.
+        """
+        # Prepare the payload
+        payload = {
+            "model": MODEL_NAME,
+            "messages": list(conversation_history),
+            "temperature": 0.7,  # Adjust as needed
+            "max_tokens": 1024,
+            "stream": False
+        }
+
+        logging.info(f"Sending request to LM Studio with payload:\n{json.dumps(payload, indent=2)}")
+        response = requests.post(LM_STUDIO_CHAT_URL, json=payload, timeout=120)
+        response.raise_for_status()
+        response_data = response.json()
+
+        # Use the assistant response content from the response
+        if "choices" in response_data and len(response_data["choices"]) > 0:
+            generated_text = response_data["choices"][0].get("message", {}).get("content", "")
+        else:
+            generated_text = ""
+
+        # Fallback in case of empty content
+        if not generated_text:
+            generated_text = "I'm sorry, I couldn't generate a response. Could you please try again?"
+
+        return generated_text
+
+    def save_conversation_history(self):
+        """
+        Save the current conversation history to the volume in an atomic way.
+        """
+        try:
+            with tempfile.NamedTemporaryFile('w', delete=False) as tmp_file:
+                json.dump(
+                    {user_id: list(history) for user_id, history in user_histories.items()},
+                    tmp_file,
+                    indent=4
+                )
+                temp_file_path = tmp_file.name
+            shutil.move(temp_file_path, VOLUME_PATH)
+            logging.info("Successfully saved user conversation histories.")
+        except Exception as e:
+            logging.error(f"Failed to save user histories: {e}")
+
+    async def get_settings(self, setting: SettingsRequest) -> SettingsResponse:
+        """
+        Configure the bot's capabilities for Poe, such as enabling attachments.
+        """
+        return SettingsResponse(
+            allow_attachments=True,
+            allow_images=True,
+            allow_audio=True,
+            allow_video=True,
+            allow_links=True,
+        )
+
+# Modal configuration for the new bot
+REQUIREMENTS = ["fastapi-poe==0.0.24", "requests==2.31.0"]
+image = Image.debian_slim().pip_install(REQUIREMENTS)
+
+# Mount the volume to persist user histories
+app = App(
+    "another-secure-lmstudio-poe-bot",
+    mounts=[Mount.from_local_dir("/data", remote_path="/data", recursive=True)]
+)
+
+@app.function(image=image)
+@asgi_app()
+def fastapi_app():
+    bot = AnotherSecureLMStudioBot()
+    return make_app(bot, allow_without_key=True)

ruff.exe

@@ -0,0 +1,3 @@
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+size 26956800