Spaces:
Sleeping
Sleeping
tarunkumark2
commited on
Commit
•
7794643
1
Parent(s):
8596318
init
Browse files- Dockerfile +44 -0
- requirements-local.txt +4 -0
- run_model.py +64 -0
- templates/index.html +231 -0
Dockerfile
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FROM python:3.9-alpine
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# Install necessary dependencies and tools
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RUN apk add --no-cache build-base cmake clang git && \
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rm -rf /var/cache/apk/*
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# Clone the BitNet repository without history
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RUN git clone --recursive --depth 1 https://github.com/microsoft/BitNet.git && \
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rm -rf BitNet/.git
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WORKDIR /BitNet
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy the local requirements.txt for additional dependencies
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COPY requirements-local.txt .
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# Install additional dependencies from the local requirements file
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RUN pip install --no-cache-dir -r requirements-local.txt
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# Run the code generation for Llama3-8B model
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RUN python3 utils/codegen_tl2.py --model Llama3-8B-1.58-100B-tokens --BM 256,128,256,128 --BK 96,96,96,96 --bm 32,32,32,32
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# Build the model using cmake with specified compilers
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RUN cmake -B build -DBITNET_X86_TL2=ON -DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++
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RUN cmake --build build --config Release
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# Download the Llama model from HuggingFace
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ADD https://huggingface.co/brunopio/Llama3-8B-1.58-100B-tokens-GGUF/resolve/main/Llama3-8B-1.58-100B-tokens-TQ2_0.gguf .
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# Verify the integrity of the model file
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RUN echo "2565559c82a1d03ecd1101f536c5e99418d07e55a88bd5e391ed734f6b3989ac Llama3-8B-1.58-100B-tokens-TQ2_0.gguf" | sha256sum -c
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# Expose port for communication with the Node.js app
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EXPOSE 7860
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# Run a Python script that handles queries from the Node.js app using socket.io
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COPY . .
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# COPY templates/* .
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# Run the model in inference mode, listening for queries
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CMD ["python3", "run_model.py"]
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requirements-local.txt
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flask
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flask-socketio
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requests
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eventlet
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run_model.py
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from flask import Flask, render_template
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from flask_socketio import SocketIO, emit
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import subprocess
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import threading
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app = Flask(__name__)
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socketio = SocketIO(app, cors_allowed_origins='*')
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# Global variable to manage thread control
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stop_event = threading.Event()
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# Global variable to store the process reference
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current_process = None
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def stream_process_output(command):
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"""Execute a command and emit stdout line by line, with thread control."""
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global current_process
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# Start the subprocess
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process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, bufsize=1)
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current_process = process # Store the reference to the current process
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for stdout_line in process.stdout:
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if stop_event.is_set(): # Stop if the event is triggered
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break
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socketio.emit('response', {'word': stdout_line})
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socketio.sleep(0.1) # Yield to allow other threads to run
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process.stdout.close()
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process.wait()
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@socketio.on('query')
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def start_stream(data=None):
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"""Start the process and stream its stdout to the client, ensuring thread control."""
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global stop_event, current_process
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if data is None:
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return
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query = data['query']
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command = ['python3', 'run_inference.py', '-m', 'Llama3-8B-1.58-100B-tokens-TQ2_0.gguf', '-p', query]
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if 'args' in data and data.get('args'):
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additional_args = data['args'].strip().split()
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command.extend(additional_args)
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print(f"command- {command}")
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# If there is an existing running task, terminate it
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if current_process and current_process.poll() is None:
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current_process.terminate()
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stop_event.set() # Signal the current thread to stop
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stop_event.clear() # Reset the stop event for the new thread
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# Start a new background task
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socketio.start_background_task(target=stream_process_output, command=command)
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@app.route('/')
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def index():
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return render_template('index.html')
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if __name__ == '__main__':
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socketio.run(app, host='0.0.0.0', port=7860)
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templates/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>BitNet 1-Bit LLM Query Interface</title>
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<style>
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body {
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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margin: 0;
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padding: 0;
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background-color: #f4f4f9;
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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}
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.container {
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display: flex;
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max-width: 1200px;
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width: 100%;
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background-color: #fff;
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border-radius: 8px;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
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overflow: hidden;
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}
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.left-section {
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flex: 1;
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padding: 20px;
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background-color: white;
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color: black;
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display: flex;
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flex-direction: column;
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justify-content: space-between;
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box-sizing: border-box;
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}
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.left-section h2 {
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margin-bottom: 20px;
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font-size: 1.5rem;
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}
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.input-group {
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margin-bottom: 15px;
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}
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.input-group label {
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display: block;
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font-size: 0.9rem;
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margin-bottom: 8px;
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}
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.input-group input,
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.input-group textarea {
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width: 100%;
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padding: 10px;
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border-radius: 4px;
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font-size: 0.95rem;
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box-sizing: border-box;
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}
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input[type="number"],
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textarea {
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width: 100%;
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border: 1px solid #ccc;
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border-radius: 4px;
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box-sizing: border-box;
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}
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input[type="number"]:focus,
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textarea:focus {
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border-color: #238a95;
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outline: none;
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box-shadow: 0 0 5px rgba(35, 138, 149, 0.5);
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}
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input[type="number"]::placeholder,
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textarea::placeholder {
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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}
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.input-group textarea {
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resize: none;
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}
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.button-group {
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margin-top: 20px;
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margin: auto;
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}
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.button-group button {
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padding: 10px 20px;
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background-color: #238a95;
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border: none;
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color: white;
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cursor: pointer;
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border-radius: 4px;
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font-size: 1rem;
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transition: background-color 0.3s, transform 0.2s;
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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}
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.button-group button:hover {
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background-color: #1e7a84;
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transform: scale(1.05);
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}
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.right-section {
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flex: 2;
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padding: 20px;
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background-color: #ffffff;
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border-left: 2px solid #dbdbdb;
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box-sizing: border-box;
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}
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.right-section h2 {
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margin-bottom: 20px;
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}
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#response {
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height: 430px;
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border: 1px solid #dbdbdb;
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border-radius: 4px;
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padding: 10px;
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overflow-y: auto;
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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background-color: #f5f4f459;
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font-size: 0.95rem;
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}
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/* Responsive design */
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@media screen and (max-width: 768px) {
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.container {
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flex-direction: column;
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}
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.right-section {
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141 |
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border-left: none;
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142 |
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border-top: 2px solid #dbdbdb;
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}
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}
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</style>
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</head>
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147 |
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<body>
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<div class="container">
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<div class="left-section">
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<h2>Command Options</h2>
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<div class="input-group">
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153 |
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<label for="tokens">Number of tokens to predict</label>
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154 |
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<input type="number" id="tokens" min="0" placeholder="Enter number of tokens">
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</div>
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156 |
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<div class="input-group">
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<label for="threads">Number of threads to use</label>
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158 |
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<input type="number" id="threads" min="0" placeholder="Enter number of threads">
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</div>
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<div class="input-group">
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<label for="context-size">Size of the prompt context</label>
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<input type="number" id="context-size" min="0" placeholder="Enter context size">
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</div>
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<div class="input-group">
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<label for="temperature">Temperature, a hyperparameter that controls the randomness of the generated text</label>
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166 |
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<input type="number" min="0" id="temperature" placeholder="Enter temperature value">
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167 |
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</div>
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<div class="input-group">
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169 |
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<label for="prompt">Prompt</label>
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170 |
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<textarea id="prompt" rows="4" min="0" placeholder="Enter your prompt"></textarea>
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171 |
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</div>
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172 |
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<div class="button-group">
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173 |
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<button onclick="sendQuery()">Send Query</button>
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174 |
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</div>
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</div>
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176 |
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<div class="right-section">
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177 |
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<h2>Response</h2>
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178 |
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<div id="response"></div>
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</div>
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180 |
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</div>
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<script type="module">
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183 |
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import { io } from "https://cdn.socket.io/4.8.0/socket.io.esm.min.js";
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184 |
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const socket = io();
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window.sendQuery = function() {
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187 |
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const tokens = document.getElementById('tokens').value;
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188 |
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const threads = document.getElementById('threads').value;
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189 |
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const contextSize = document.getElementById('context-size').value;
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190 |
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const temperature = document.getElementById('temperature').value;
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191 |
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const prompt = document.getElementById('prompt').value;
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192 |
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if (!prompt) {
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return alert('There is no prompt to send!');
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195 |
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}
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196 |
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197 |
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let args = '';
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198 |
+
|
199 |
+
if (tokens && !isNaN(tokens) && tokens > -1) {
|
200 |
+
args += ` -n ${tokens}`;
|
201 |
+
}
|
202 |
+
|
203 |
+
if (threads && !isNaN(threads) && threads > -1) {
|
204 |
+
args += ` -t ${threads}`;
|
205 |
+
}
|
206 |
+
|
207 |
+
if (contextSize && !isNaN(contextSize) && contextSize > -1) {
|
208 |
+
args += ` -c ${contextSize}`;
|
209 |
+
}
|
210 |
+
|
211 |
+
if (temperature && !isNaN(temperature) && temperature > -1) {
|
212 |
+
args += ` -temp ${temperature}`;
|
213 |
+
}
|
214 |
+
|
215 |
+
// Clear previous response
|
216 |
+
document.getElementById('response').innerText = '';
|
217 |
+
|
218 |
+
// Emit query with all parameters
|
219 |
+
socket.emit('query', { query: prompt, args });
|
220 |
+
}
|
221 |
+
|
222 |
+
socket.on('response', function (word) {
|
223 |
+
const responseDiv = document.getElementById('response');
|
224 |
+
responseDiv.innerText += word.word + ' ';
|
225 |
+
// Scroll to the bottom of the response div
|
226 |
+
responseDiv.scrollTop = responseDiv.scrollHeight;
|
227 |
+
});
|
228 |
+
</script>
|
229 |
+
</body>
|
230 |
+
|
231 |
+
</html>
|