| from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM, AutoModelForCausalLM | |
| from transformers.utils import logging | |
| import gradio as gr | |
| # Define the logger instance for the transformers library | |
| logger = logging.get_logger("transformers") | |
| # Load the model and tokenizer | |
| model_name = "TheBloke/zephyr-7B-beta-GPTQ" #"openai-community/gpt2" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| #model = AutoModelForSeq2SeqLM.from_pretrained(model_name) | |
| model = AutoModelForCausalLM.from_pretrained(model_name) | |
| # Fonction pour générer du texte | |
| def generate_text(prompt): | |
| inputs = tokenizer(prompt, return_tensors="pt", truncation=True, max_length=512, padding="max_length") | |
| summary_ids = model.generate(inputs["input_ids"], max_length=150, min_length=40, length_penalty=2.0, num_beams=4, early_stopping=True) | |
| return tokenizer.decode(summary_ids[0], skip_special_tokens=True) | |
| # #for training the model after the data is collected | |
| # #model.save_pretrained("model") | |
| # #tokenizer.save_pretrained("model") | |
| # #for the app functions | |
| # def clear_save_textbox(message): | |
| # return " ", message | |
| # def show_input_text(message,history:list[tuple[str,str]]): | |
| # history.append((message,"")) | |
| # story = generate_text(message) | |
| # history[-1] = (message,story) | |
| # return history | |
| # def delete_previous_text(history:list[tuple[str,str]]): | |
| # try: | |
| # message, _ = history.pop() | |
| # except IndexError: | |
| # message = " " | |
| # return history, message | |
| # # Créer une interface de saisie avec Gradio | |
| interface = gr.Interface(fn=generate_text, inputs="text", outputs="text",title="TeLLMyStory",description="Enter your story idea and the model will generate the story based on it.") | |
| # with gr.Blocks() as demo: | |
| # gr.Markdown("TeLLMyStory chatbot") | |
| # #input_text = blocks.text(name="input_text", label="Enter your story idea here", default="Once upon a time, there was") | |
| # with gr.Row(): | |
| # input_text = gr.Textbox(label="Enter your story idea here") | |
| # #clear_button = gr.Button("Clear",variant="secondary") | |
| # #clear_button.click(fn=clear_save_textbox, inputs=[input_text]) | |
| # #retry_button = gr.Button("Retry", fn=delete_previous_text, inputs=[input_text],variants=["secondary"]) | |
| # with gr.Row(): | |
| # gr.Markdown("History of your story ideas") | |
| # gen_story = gr.Textbox(label="History") | |
| # #send_button = gr.Button(name="send_button", label="Send", fn=show_input_text, inputs=[input_text],outputs=[gen_story],variants=["primary"]) | |
| # # Lancer l'interface | |
| interface.launch() | |