111 lines
3.8 KiB
Plaintext
111 lines
3.8 KiB
Plaintext
],
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"source": [
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"from transformers import AutoModelForCausalLM, AutoTokenizer\n",
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"from gtts import gTTS\n",
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"from playsound import playsound\n",
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"import os\n",
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"\n",
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"# Load the tokenizer and model for GPT-J\n",
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"tokenizer = AutoTokenizer.from_pretrained(\"EleutherAI/gpt-j-6B\")\n",
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"model = AutoModelForCausalLM.from_pretrained(\"EleutherAI/gpt-j-6B\")\n",
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"\n",
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"# Set the padding token to the EOS token\n",
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"tokenizer.pad_token = tokenizer.eos_token\n",
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"\n",
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"def generate_email(professor_name, research_topic, user_name):\n",
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" # Email template\n",
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" prompt = f\"\"\"\n",
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" Dear Professor {professor_name},\n",
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"\n",
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" I am writing to express my interest in pursuing research under your guidance. My research topic revolves around {research_topic}.\n",
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"\n",
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" I believe that your work in this area is groundbreaking, and I am eager to contribute to your ongoing projects.\n",
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"\n",
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" Best regards,\n",
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" {user_name}\n",
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" \"\"\"\n",
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" # Tokenize input\n",
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" inputs = tokenizer(prompt, return_tensors=\"pt\", truncation=True, padding=True)\n",
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" # Generate email with controlled randomness\n",
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" output = model.generate(\n",
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" inputs[\"input_ids\"],\n",
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" attention_mask=inputs[\"attention_mask\"],\n",
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" max_length=len(inputs[\"input_ids\"][0]) + 100,\n",
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" do_sample=True, # Set to True to use temperature and top_p\n",
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" temperature=0.7,\n",
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" top_p=0.9,\n",
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" pad_token_id=tokenizer.eos_token_id\n",
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" )\n",
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" # Decode and return the text\n",
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" generated_email = tokenizer.decode(output[0], skip_special_tokens=True)\n",
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" return generated_email.strip()\n",
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"\n",
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"def text_to_speech(text, output_file=\"email.mp3\", lang='en'):\n",
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" try:\n",
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" if os.path.exists(output_file):\n",
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" os.remove(output_file)\n",
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" tts = gTTS(text, lang=lang)\n",
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" tts.save(output_file)\n",
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" print(f\"Speech saved to {output_file}\")\n",
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" except Exception as e:\n",
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" print(f\"Error generating speech: {e}\")\n",
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"\n",
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"def play_sound(file_path):\n",
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" if not os.path.exists(file_path):\n",
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" print(\"File not found.\")\n",
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" return\n",
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" try:\n",
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" # Using playsound\n",
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" playsound(file_path)\n",
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" print(\"\\nEmail is being read aloud.\")\n",
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" except Exception as e:\n",
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" print(f\"Error playing sound with playsound: {e}\")\n",
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"\n",
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"# Input data\n",
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"professor_name = input(\"Enter the professor's name: \")\n",
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"research_topic = input(\"Enter your research topic: \")\n",
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"user_name = input(\"Enter your name: \")\n",
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"\n",
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"# Generate and print the email\n",
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"email = generate_email(professor_name, research_topic, user_name)\n",
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"print(\"\\nGenerated Email:\\n\")\n",
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"print(email)\n",
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"\n",
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"# Convert the email to speech\n",
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"text_to_speech(email)\n",
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"\n",
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"# Play the generated speech\n",
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"play_sound(\"email.mp3\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "89bc527f-4f37-44d3-8454-52a980cf6038",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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