Create chatbot

chatbot

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+from transformers import AutoTokenizer, AutoModelForCausalLM
+import gradio as gr
+
+# Carregar o tokenizer e o modelo
+tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-j-6B")
+model = AutoModelForCausalLM.from_pretrained("EleutherAI/gpt-j-6B")
+
+# Função para gerar resposta
+def generate_response(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(inputs["input_ids"], max_length=150, num_return_sequences=1)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Interface do Gradio
+interface = gr.Interface(
+    fn=generate_response,
+    inputs=gr.Textbox(label="Pergunta"),
+    outputs=gr.Textbox(label="Resposta"),
+    title="Chatbot GPT-J",
+    description="Um chatbot simples usando GPT-J."
+)
+
+# Rodar a interface
+interface.launch()