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https://github.com/aljazceru/Auto-GPT.git
synced 2025-12-17 14:04:27 +01:00
Deletes old output renderer and renames AutonomousAI folder to scripts
This commit is contained in:
Torantulino
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@@ -1,24 +0,0 @@
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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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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/css/bootstrap.min.css" rel="stylesheet">
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<link rel="stylesheet" href="styles.css">
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<title>JSON Display</title>
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</head>
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<body>
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<div class="container my-5">
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<h1 class="text-center mb-4">Entrepreneur-GPT Output</h1>
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<div class="row">
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<div class="col-md-6 offset-md-3">
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<div id="json-display" class="json-display"></div>
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</div>
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</div>
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</div>
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<script src="script.js"></script>
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</body>
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</html>
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@@ -1,55 +0,0 @@
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const fs = require('fs');
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fs.readFile('data.json', 'utf8', (err, data) => {
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if (err) throw err;
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const jsonData = JSON.parse(data);
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displayJsonData(jsonData);
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});
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function displayJsonData() {
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const jsonDisplay = document.getElementById('json-display');
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let displayContent = '';
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for (const key in jsonData) {
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displayContent += `<h2>${key}:</h2><br><ul>`;
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const value = jsonData[key];
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for (const subKey in value) {
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let subValue = value[subKey];
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if (typeof subValue === 'string') {
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subValue = subValue.replace(/\n/g, '<br>');
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}
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if (subKey === "args") {
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// displayContent += `<li><strong>${subKey}:</strong><ul>`;
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for (const argumentKey in value[subKey]) {
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const argumentValue = value[subKey][argumentKey];
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displayContent += `<li><div class=""><strong>${argumentKey}:</strong> ${argumentValue.replace(/\n/g, '<br>')}</div></li>`;
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}
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displayContent += '</ul></li>';
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} else {
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displayContent += `<li><strong>${subKey}:</strong> ${subValue}</li>`;
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}
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}
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displayContent += '</ul>';
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}
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jsonDisplay.innerHTML = `
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<div class="json-display-content">
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${displayContent}
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</div>
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<div class="twitter-handles">
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<img src="en_gpt.jpg" alt="En_GPT" class="twitter-profile-pic">
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<a href="https://twitter.com/En_GPT"> @En_GPT</a>
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<img src="SigGravitas.jpg" alt="SigGravitas" class="twitter-profile-pic">
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<a href="https://twitter.com/SigGravitas">@SigGravitas</a>
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</div>
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`;
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}
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@@ -1,62 +0,0 @@
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body {
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font-family: Arial, sans-serif;
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background-color: #1a1a1a;
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color: #f5f5f5;
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}
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.container {
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max-width: 1250px;
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}
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h1 {
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color: #f5f5f5;
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margin-bottom: 30px;
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}
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.json-display {
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padding: 20px;
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border-radius: 5px;
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background-color: #2b2b2b;
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box-shadow: 0px 0px 10px rgba(0, 0, 0, 0.3);
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}
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.json-display h2 {
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margin-top: 0;
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color: #f5f5f5;
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border-bottom: 1px solid #e0e0e0;
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padding-bottom: 10px;
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}
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.json-display ul {
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list-style-type: none;
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padding: 0;
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}
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.json-display ul li {
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padding: 5px 0;
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}
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strong {
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color: #007bff;
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}
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.argument-box {
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background: #007bff1c;
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padding: 5px;
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margin-top: 5px;
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}
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.twitter-handles {
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/* Center horizontally */
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display: flex;
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justify-content: center;
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align-items: center;
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}
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.twitter-profile-pic {
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height: 30px;
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border-radius: 50%;
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margin-left: 5px;
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margin-right: 5px;
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}
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@@ -154,7 +154,7 @@ def start_agent(name, task, prompt, model="gpt-3.5-turbo"):
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# Create agent
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if cfg.speak_mode:
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speak.say_text(agent_intro)
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speak.say_text(agent_intro, 1)
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key, ack = agents.create_agent(task, first_message, model)
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if cfg.speak_mode:
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@@ -171,7 +171,7 @@ def message_agent(key, message):
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# Speak response
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if cfg.speak_mode:
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speak.say_text(agent_response)
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speak.say_text(agent_response, 1)
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return f"Agent {key} responded: {agent_response}"
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2
scripts/keys.py
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2
scripts/keys.py
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OPENAI_API_KEY="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"
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ELEVENLABS_API_KEY="f213258a522dc2f33c4f0e4f798a08a1"
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@@ -3,8 +3,7 @@ from playsound import playsound
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import requests
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import keys
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voice_id = "ErXwobaYiN019PkySvjV"
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tts_url = "https://api.elevenlabs.io/v1/text-to-speech/{voice_id}".format(voice_id=voice_id)
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voices = ["ErXwobaYiN019PkySvjV", "EXAVITQu4vr4xnSDxMaL"]
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tts_headers = {
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"Content-Type": "application/json",
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@@ -12,7 +11,9 @@ tts_headers = {
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}
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def say_text(text):
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def say_text(text, voice_index = 0):
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tts_url = "https://api.elevenlabs.io/v1/text-to-speech/{voice_id}".format(voice_id=voices[voice_index])
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formatted_message = {"text": text}
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response = requests.post(
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tts_url, headers=tts_headers, json=formatted_message)
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