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Update app.py
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app.py
CHANGED
@@ -29,23 +29,20 @@ model_with_adapter = PeftModel.from_pretrained(model_base, "Juliofc/chaterapia_m
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# Suponiendo que `tokenizer` y `model_with_adapter` ya est谩n inicializados
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def chat_with_model(user_input, conversation_history):
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#
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conversation_history += f"Usuario: {user_input}\n"
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# Prepara la entrada para el modelo
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input_tokens = tokenizer.encode(user_input, return_tensors='pt')
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# Genera la respuesta del modelo
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output_tokens = model_with_adapter.generate(input_tokens, max_new_tokens=50, pad_token_id=tokenizer.pad_token_id)
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# Decodifica la respuesta
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generated_text = tokenizer.decode(output_tokens[0], skip_special_tokens=True)
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# Actualiza el historial con la respuesta del modelo
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conversation_history += f"Modelo: {generated_text}\n"
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return "", conversation_history
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# Define los componentes de la interfaz de Gradio
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with gr.Blocks() as demo:
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@@ -53,13 +50,14 @@ with gr.Blocks() as demo:
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input_text = gr.Textbox(label="Tu mensaje")
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submit_button = gr.Button("Enviar")
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output_text = gr.Textbox(label="Historial de la conversaci贸n", lines=10, interactive=False)
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# Configura la acci贸n al presionar el bot贸n de env铆o
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submit_button.click(
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fn=chat_with_model,
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inputs=[input_text, conversation_history],
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outputs=[input_text, conversation_history]
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)
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# Suponiendo que `tokenizer` y `model_with_adapter` ya est谩n inicializados
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def chat_with_model(user_input, conversation_history=""):
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# Aseg煤rate de que conversation_history tenga un valor inicial adecuado
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if conversation_history is None:
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conversation_history = ""
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conversation_history += f"Usuario: {user_input}\n"
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input_tokens = tokenizer.encode(user_input, return_tensors='pt')
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output_tokens = model_with_adapter.generate(input_tokens, max_new_tokens=50, pad_token_id=tokenizer.pad_token_id)
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generated_text = tokenizer.decode(output_tokens[0], skip_special_tokens=True)
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conversation_history += f"Modelo: {generated_text}\n"
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return "", conversation_history
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# Define los componentes de la interfaz de Gradio
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with gr.Blocks() as demo:
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input_text = gr.Textbox(label="Tu mensaje")
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submit_button = gr.Button("Enviar")
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output_text = gr.Textbox(label="Historial de la conversaci贸n", lines=10, interactive=False)
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# Inicializa el estado conversation_history con una cadena vac铆a
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conversation_history = gr.State(value="")
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submit_button.click(
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fn=chat_with_model,
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inputs=[input_text, conversation_history],
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outputs=[input_text, conversation_history]
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)
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# Aseg煤rate de lanzar usando un puerto disponible o soluciona el problema del puerto ocupado como se discuti贸 anteriormente.
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demo.launch()
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