initial commit

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+import torch
+import transformers
+from transformers import AutoTokenizer, AutoModelForCausalLM, set_seed
+
+
+set_seed(42)
+tokenizer = AutoTokenizer.from_pretrained("togethercomputer/RedPajama-INCITE-Chat-3B-v1")
+model = AutoModelForCausalLM.from_pretrained("togethercomputer/RedPajama-INCITE-Chat-3B-v1", torch_dtype=torch.bfloat16)
+
+
+def Bemenet(bemenet):
+    prompt = "<human>: Who is Alan Turing?\n<bot>:"
+    inputs = tokenizer(prompt, return_tensors='pt').to(model.device)
+    input_length = inputs.input_ids.shape[1]
+    outputs = model.generate(
+        **inputs, max_new_tokens=128, do_sample=True, temperature=0.7, top_p=0.7, top_k=50, return_dict_in_generate=True
+    )
+    token = outputs.sequences[0, input_length:]
+    output_str = tokenizer.decode(token)
+    return output_str
+
+
+interface = gr.Interface(fn=Bemenet,
+                        title="Cím..",
+                        description="Leírás..",
+                        inputs="text",
+                        outputs="text")
+
+interface.launch()

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch