updates

app.py

@@ -1,17 +1,19 @@
 import gradio as gr
-from transformers import AutoModel, pipeline
-from transformers import AutoTokenizer, AutoModelForCausalLM
 
-
-
-pipe = pipeline("text-generation", model="meta-llama/Llama-2-7b-chat-hf")
-
-# tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-chat-hf")
-# model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf")
-
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+title = "LLAMA2"
+description = "LLAMA2"
+article = "<p style='text-align: center'>test ...</p>"
+examples = [
+    ["Test message 1"],
+    ["What you can?"],
+    ["Гладкая Бореальная низина на северном полушарии занимает 40%"],
+]
+gr.Interface.load(
+    "huggingface/meta-llama/Llama-2-7b-chat-hf",
+    inputs=gr.Textbox(lines=5, label="Входной текст"),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+    enable_queue=True,
+).launch()

requeirements.txt

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