From 839e4b0acccc8d9bf47aeabdfb083ee1d19b4b03 Mon Sep 17 00:00:00 2001 From: Masih Moafi <132553157+MasihMoafi@users.noreply.github.com> Date: Sun, 26 Jan 2025 15:48:55 +0330 Subject: [PATCH] Delete Email Read Allowed.ipynb --- Email Read Allowed.ipynb | 136 --------------------------------------- 1 file changed, 136 deletions(-) delete mode 100644 Email Read Allowed.ipynb diff --git a/Email Read Allowed.ipynb b/Email Read Allowed.ipynb deleted file mode 100644 index ca697d8..0000000 --- a/Email Read Allowed.ipynb +++ /dev/null @@ -1,136 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "1875b60b-7d4c-4e3a-9751-c9432c395590", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Some weights of the model checkpoint at EleutherAI/gpt-j-6B were not used when initializing GPTJForCausalLM: ['transformer.h.0.attn.bias', 'transformer.h.0.attn.masked_bias', 'transformer.h.1.attn.bias', 'transformer.h.1.attn.masked_bias', 'transformer.h.10.attn.bias', 'transformer.h.10.attn.masked_bias', 'transformer.h.11.attn.bias', 'transformer.h.11.attn.masked_bias', 'transformer.h.12.attn.bias', 'transformer.h.12.attn.masked_bias', 'transformer.h.13.attn.bias', 'transformer.h.13.attn.masked_bias', 'transformer.h.14.attn.bias', 'transformer.h.14.attn.masked_bias', 'transformer.h.15.attn.bias', 'transformer.h.15.attn.masked_bias', 'transformer.h.16.attn.bias', 'transformer.h.16.attn.masked_bias', 'transformer.h.17.attn.bias', 'transformer.h.17.attn.masked_bias', 'transformer.h.18.attn.bias', 'transformer.h.18.attn.masked_bias', 'transformer.h.19.attn.bias', 'transformer.h.19.attn.masked_bias', 'transformer.h.2.attn.bias', 'transformer.h.2.attn.masked_bias', 'transformer.h.20.attn.bias', 'transformer.h.20.attn.masked_bias', 'transformer.h.21.attn.bias', 'transformer.h.21.attn.masked_bias', 'transformer.h.22.attn.bias', 'transformer.h.22.attn.masked_bias', 'transformer.h.23.attn.bias', 'transformer.h.23.attn.masked_bias', 'transformer.h.24.attn.bias', 'transformer.h.24.attn.masked_bias', 'transformer.h.25.attn.bias', 'transformer.h.25.attn.masked_bias', 'transformer.h.26.attn.bias', 'transformer.h.26.attn.masked_bias', 'transformer.h.27.attn.bias', 'transformer.h.27.attn.masked_bias', 'transformer.h.3.attn.bias', 'transformer.h.3.attn.masked_bias', 'transformer.h.4.attn.bias', 'transformer.h.4.attn.masked_bias', 'transformer.h.5.attn.bias', 'transformer.h.5.attn.masked_bias', 'transformer.h.6.attn.bias', 'transformer.h.6.attn.masked_bias', 'transformer.h.7.attn.bias', 'transformer.h.7.attn.masked_bias', 'transformer.h.8.attn.bias', 'transformer.h.8.attn.masked_bias', 'transformer.h.9.attn.bias', 'transformer.h.9.attn.masked_bias']\n", - "- This IS expected if you are initializing GPTJForCausalLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "- This IS NOT expected if you are initializing GPTJForCausalLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n" - ] - }, - { - "name": "stdin", - "output_type": "stream", - "text": [ - "Enter the professor's name: Asadpour\n", - "Enter your research topic: AI\n", - "Enter your name: Masih\n" - ] - - ], - "source": [ - "from transformers import AutoModelForCausalLM, AutoTokenizer\n", - "from gtts import gTTS\n", - "from playsound import playsound\n", - "import os\n", - "\n", - "# Load the tokenizer and model for GPT-J\n", - "tokenizer = AutoTokenizer.from_pretrained(\"EleutherAI/gpt-j-6B\")\n", - "model = AutoModelForCausalLM.from_pretrained(\"EleutherAI/gpt-j-6B\")\n", - "\n", - "# Set the padding token to the EOS token\n", - "tokenizer.pad_token = tokenizer.eos_token\n", - "\n", - "def generate_email(professor_name, research_topic, user_name):\n", - " # Email template\n", - " prompt = f\"\"\"\n", - " Dear Professor {professor_name},\n", - "\n", - " I am writing to express my interest in pursuing research under your guidance. My research topic revolves around {research_topic}.\n", - "\n", - " I believe that your work in this area is groundbreaking, and I am eager to contribute to your ongoing projects.\n", - "\n", - " Best regards,\n", - " {user_name}\n", - " \"\"\"\n", - " # Tokenize input\n", - " inputs = tokenizer(prompt, return_tensors=\"pt\", truncation=True, padding=True)\n", - " # Generate email with controlled randomness\n", - " output = model.generate(\n", - " inputs[\"input_ids\"],\n", - " attention_mask=inputs[\"attention_mask\"],\n", - " max_length=len(inputs[\"input_ids\"][0]) + 100,\n", - " do_sample=True, # Set to True to use temperature and top_p\n", - " temperature=0.7,\n", - " top_p=0.9,\n", - " pad_token_id=tokenizer.eos_token_id\n", - " )\n", - " # 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", - " try:\n", - " if os.path.exists(output_file):\n", - " os.remove(output_file)\n", - " tts = gTTS(text, lang=lang)\n", - " tts.save(output_file)\n", - " print(f\"Speech saved to {output_file}\")\n", - " except Exception as e:\n", - " print(f\"Error generating speech: {e}\")\n", - "\n", - "def play_sound(file_path):\n", - " if not os.path.exists(file_path):\n", - " print(\"File not found.\")\n", - " return\n", - " try:\n", - " # Using playsound\n", - " playsound(file_path)\n", - " print(\"\\nEmail is being read aloud.\")\n", - " except Exception as e:\n", - " print(f\"Error playing sound with playsound: {e}\")\n", - "\n", - "# Input data\n", - "professor_name = input(\"Enter the professor's name: \")\n", - "research_topic = input(\"Enter your research topic: \")\n", - "user_name = input(\"Enter your name: \")\n", - "\n", - "# Generate and print the email\n", - "email = generate_email(professor_name, research_topic, user_name)\n", - "print(\"\\nGenerated Email:\\n\")\n", - "print(email)\n", - "\n", - "# Convert the email to speech\n", - "text_to_speech(email)\n", - "\n", - "# Play the generated speech\n", - "play_sound(\"email.mp3\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "89bc527f-4f37-44d3-8454-52a980cf6038", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.19" - } - }, - "nbformat": 4, - "nbformat_minor": 5