Update Email Read Allowed.ipynb

Email Read Allowed.ipynb

@@ -1,230 +1,110 @@
-'use client';
+   ],
-
+   "source": [
-import { useState, useEffect, useRef } from 'react';
+    "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
-
+    "from gtts import gTTS\n",
-type Message = {
+    "from playsound import playsound\n",
-  text: string;
+    "import os\n",
-  sender: 'user' | 'bot';
+    "\n",
-};
+    "# Load the tokenizer and model for GPT-J\n",
-
+    "tokenizer = AutoTokenizer.from_pretrained(\"EleutherAI/gpt-j-6B\")\n",
-export default function Chatbot() {
+    "model = AutoModelForCausalLM.from_pretrained(\"EleutherAI/gpt-j-6B\")\n",
-  const [isOpen, setIsOpen] = useState(false);
+    "\n",
-  const [messages, setMessages] = useState<Message[]>([]);
+    "# Set the padding token to the EOS token\n",
-  const [inputText, setInputText] = useState('');
+    "tokenizer.pad_token = tokenizer.eos_token\n",
-  const [isLoading, setIsLoading] = useState(false);
+    "\n",
-  const chatContainerRef = useRef<HTMLDivElement>(null);
+    "def generate_email(professor_name, research_topic, user_name):\n",
-
+    "    # Email template\n",
-  const handleSendMessage = async () => {
+    "    prompt = f\"\"\"\n",
-    if (!inputText.trim() || isLoading) return;
+    "    Dear Professor {professor_name},\n",
-
+    "\n",
-    try {
+    "    I am writing to express my interest in pursuing research under your guidance. My research topic revolves around {research_topic}.\n",
-      setIsLoading(true);
+    "\n",
-      const userMessage = inputText.trim();
+    "    I believe that your work in this area is groundbreaking, and I am eager to contribute to your ongoing projects.\n",
-      setMessages(prev => [...prev, { text: userMessage, sender: 'user' }]);
+    "\n",
-      setInputText('');
+    "    Best regards,\n",
-
+    "    {user_name}\n",
-      // Directly call Ollama API via local tunnel
+    "    \"\"\"\n",
-      const response = await fetch('https://joe-ollama.loca.lt/api/generate', {
+    "    # Tokenize input\n",
-        method: 'POST',
+    "    inputs = tokenizer(prompt, return_tensors=\"pt\", truncation=True, padding=True)\n",
-        headers: {
+    "    # Generate email with controlled randomness\n",
-          'Content-Type': 'application/json',
+    "    output = model.generate(\n",
-          'Authorization': 'Basic ' + btoa('username:password') // Add your auth
+    "        inputs[\"input_ids\"],\n",
-        },
+    "        attention_mask=inputs[\"attention_mask\"],\n",
-        body: JSON.stringify({
+    "        max_length=len(inputs[\"input_ids\"][0]) + 100,\n",
-          model: 'llama3',
+    "        do_sample=True,  # Set to True to use temperature and top_p\n",
-          prompt: userMessage,
+    "        temperature=0.7,\n",
-          stream: false,
+    "        top_p=0.9,\n",
-          options: {
+    "        pad_token_id=tokenizer.eos_token_id\n",
-            temperature: 0.7,
+    "    )\n",
-            max_tokens: 500
+    "    # Decode and return the text\n",
-          }
+    "    generated_email = tokenizer.decode(output[0], skip_special_tokens=True)\n",
-        }),
+    "    return generated_email.strip()\n",
-      });
+    "\n",
-
+    "def text_to_speech(text, output_file=\"email.mp3\", lang='en'):\n",
-      if (!response.ok) throw new Error('Failed to get response');
+    "    try:\n",
-      
+    "        if os.path.exists(output_file):\n",
-      const data = await response.json();
+    "            os.remove(output_file)\n",
-      setMessages(prev => [...prev, { text: data.response, sender: 'bot' }]);
+    "        tts = gTTS(text, lang=lang)\n",
-    } catch (error) {
+    "        tts.save(output_file)\n",
-      console.error('Chat error:', error);
+    "        print(f\"Speech saved to {output_file}\")\n",
-      setMessages(prev => [...prev, { 
+    "    except Exception as e:\n",
-        text: "Sorry, I'm having trouble connecting. Please try again later.", 
+    "        print(f\"Error generating speech: {e}\")\n",
-        sender: 'bot' 
+    "\n",
-      }]);
+    "def play_sound(file_path):\n",
-    } finally {
+    "    if not os.path.exists(file_path):\n",
-      setIsLoading(false);
+    "        print(\"File not found.\")\n",
-    }
+    "        return\n",
-  };
+    "    try:\n",
-
+    "        # Using playsound\n",
-  useEffect(() => {
+    "        playsound(file_path)\n",
-    if (chatContainerRef.current) {
+    "        print(\"\\nEmail is being read aloud.\")\n",
-      chatContainerRef.current.scrollTop = chatContainerRef.current.scrollHeight;
+    "    except Exception as e:\n",
-    }
+    "        print(f\"Error playing sound with playsound: {e}\")\n",
-  }, [messages]);
+    "\n",
-
+    "# Input data\n",
-  return (
+    "professor_name = input(\"Enter the professor's name: \")\n",
-    <div style={{ position: 'fixed', bottom: '20px', right: '29.6px', zIndex: 1000 }}>
+    "research_topic = input(\"Enter your research topic: \")\n",
-      {isOpen && (
+    "user_name = input(\"Enter your name: \")\n",
-        <div style={chatWindowStyle}>
+    "\n",
-          <div style={headerStyle}>
+    "# Generate and print the email\n",
-            <div style={titleStyle}>Chat with Joe's AI</div>
+    "email = generate_email(professor_name, research_topic, user_name)\n",
-            <button onClick={() => setIsOpen(false)} style={closeButtonStyle}>
+    "print(\"\\nGenerated Email:\\n\")\n",
-              ×
+    "print(email)\n",
-            </button>
+    "\n",
-          </div>
+    "# Convert the email to speech\n",
-          
+    "text_to_speech(email)\n",
-          <div ref={chatContainerRef} style={messageContainerStyle}>
+    "\n",
-            {messages.map((msg, index) => (
+    "# Play the generated speech\n",
-              <div key={index} style={messageBubbleStyle(msg.sender)}>
+    "play_sound(\"email.mp3\")"
-                <span style={textStyle(msg.sender)}>
+   ]
-                  {msg.text}
+  },
-                </span>
+  {
-              </div>
+   "cell_type": "code",
-            ))}
+   "execution_count": null,
-            {isLoading && (
+   "id": "89bc527f-4f37-44d3-8454-52a980cf6038",
-              <div style={loadingStyle}>
+   "metadata": {},
-                <div className="dot-flashing" />
+   "outputs": [],
-              </div>
+   "source": []
-            )}
+  }
-          </div>
+ ],
-
+ "metadata": {
-          <div style={inputContainerStyle}>
+  "kernelspec": {
-            <input
+   "display_name": "Python 3 (ipykernel)",
-              type="text"
+   "language": "python",
-              value={inputText}
+   "name": "python3"
-              onChange={(e) => setInputText(e.target.value)}
+  },
-              onKeyPress={(e) => e.key === 'Enter' && handleSendMessage()}
+  "language_info": {
-              style={inputStyle}
+   "codemirror_mode": {
-              placeholder="Ask me anything..."
+    "name": "ipython",
-              disabled={isLoading}
+    "version": 3
-            />
+   },
-            <button
+   "file_extension": ".py",
-              onClick={handleSendMessage}
+   "mimetype": "text/x-python",
-              style={sendButtonStyle}
+   "name": "python",
-              disabled={isLoading}
+   "nbconvert_exporter": "python",
-            >
+   "pygments_lexer": "ipython3",
-              {isLoading ? '...' : 'Send'}
+   "version": "3.8.19"
-            </button>
+  }
-          </div>
+ },
-        </div>
+ "nbformat": 4,
-      )}
+ "nbformat_minor": 5
-      
-      {!isOpen && (
-        <button 
-          onClick={() => setIsOpen(true)}
-          style={toggleButtonStyle}
-        >
-          💬
-        </button>
-      )}
-    </div>
-  );
-}
-
-// Style constants
-const chatWindowStyle = {
-  width: '350px',
-  border: '1px solid #e5e7eb',
-  borderRadius: '12px',
-  padding: '16px',
-  backgroundColor: '#ffffff',
-  boxShadow: '0 4px 6px rgba(0, 0, 0, 0.1)',
-};
-
-const headerStyle = {
-  display: 'flex',
-  justifyContent: 'space-between',
-  alignItems: 'center',
-  marginBottom: '16px',
-};
-
-const titleStyle = {
-  fontSize: '18px',
-  fontWeight: '600',
-  color: '#1f2937',
-};
-
-const closeButtonStyle = {
-  padding: '8px',
-  borderRadius: '50%',
-  border: 'none',
-  backgroundColor: '#31616c',
-  color: '#fff',
-  cursor: 'pointer',
-  fontWeight: '600',
-  width: '32px',
-  height: '32px',
-  display: 'flex',
-  alignItems: 'center',
-  justifyContent: 'center',
-};
-
-const messageContainerStyle = {
-  height: '330px',
-  overflowY: 'auto',
-  marginBottom: '16px',
-  padding: '8px',
-  backgroundColor: '#f3f4f6',
-  borderRadius: '8px',
-};
-
-const messageBubbleStyle = (sender: 'user' | 'bot') => ({
-  textAlign: sender === 'user' ? 'right' : 'left',
-  margin: '8px 0',
-});
-
-const textStyle = (sender: 'user' | 'bot') => ({
-  display: 'inline-block',
-  padding: '8px 12px',
-  borderRadius: '12px',
-  backgroundColor: sender === 'user' ? '#31616c' : '#e5e7eb',
-  color: sender === 'user' ? '#fff' : '#1f2937',
-  maxWidth: '80%',
-  wordWrap: 'break-word' as const,
-});
-
-const inputContainerStyle = {
-  display: 'flex',
-  gap: '8px',
-};
-
-const inputStyle = {
-  flex: 1,
-  padding: '8px',
-  borderRadius: '8px',
-  border: '1px solid #e5e7eb',
-  backgroundColor: '#ffffff',
-  color: '#1f2937',
-  outline: 'none',
-};
-
-const sendButtonStyle = {
-  padding: '8px 16px',
-  borderRadius: '8px',
-  border: 'none',
-  backgroundColor: '#31616c',
-  color: '#fff',
-  cursor: 'pointer',
-  fontWeight: '600',
-};
-
-const toggleButtonStyle = {
-  padding: '12px',
-  borderRadius: '50%',
-  border: 'none',
-  backgroundColor: '#31616c',
-  color: '#fff',
-  cursor: 'pointer',
-  boxShadow: '0 4px 6px rgba(0, 0, 0, 0.1)',
-  display: 'flex',
-  alignItems: 'center',
-  justifyContent: 'center',
-  width: '48px',
-  height: '48px',
-};
-
-const loadingStyle = {
-  display: 'flex',
-  justifyContent: 'center',
-  padding: '8px',
-};