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Amador2001
commited on
Commit
•
18475e7
1
Parent(s):
a09a9a4
Add authentication token for Hugging Face
Browse files
app.py
ADDED
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import os
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# Obtener el token de acceso desde las variables de entorno
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hf_token = os.getenv("HF_TOKEN")
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model_name = "epfl-llm/meditron-7b"
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tokenizer = AutoTokenizer.from_pretrained(model_name, token=hf_token)
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model = AutoModelForCausalLM.from_pretrained(model_name, token=hf_token)
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# Función para generar respuesta del modelo
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def generate_response(prompt):
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(inputs.input_ids, max_length=200, pad_token_id=tokenizer.eos_token_id)
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return response
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# Configurar la interfaz de Gradio
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def chat(paciente_input):
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prompt = f"Paciente: {paciente_input}\nDoctor:"
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response = generate_response(prompt)
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return response
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iface = gr.Interface(fn=chat, inputs="text", outputs="text", title="Consulta Médica con Meditron-7B")
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iface.launch()
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