Delete Email Read Allowed.ipynb
This commit is contained in:
Masih Moafi
GitHub
parent
9df0927ed2
commit
839e4b0acc
@ -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
|
|
||||||
Loading…
x
Reference in New Issue
Block a user