Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -3,10 +3,23 @@
|
|
| 3 |
#importing the required libraries including transformers
|
| 4 |
import gradio as gr
|
| 5 |
from huggingface_hub import InferenceClient
|
| 6 |
-
from transformers import pipeline
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
|
| 8 |
-
from huggingface_hub import login
|
| 9 |
-
login()
|
| 10 |
|
| 11 |
"""
|
| 12 |
For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
|
|
|
|
| 3 |
#importing the required libraries including transformers
|
| 4 |
import gradio as gr
|
| 5 |
from huggingface_hub import InferenceClient
|
| 6 |
+
from transformers import pipeline,AutoModelForCausalLM, AutoTokenizer
|
| 7 |
+
import torch
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
# Load model and tokenizer
|
| 11 |
+
model_name = "meta-llama/Llama-2-7b-chat-hf"
|
| 12 |
+
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
| 13 |
+
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
|
| 14 |
+
|
| 15 |
+
def chat(input_text, history=[]):
|
| 16 |
+
history.append(input_text)
|
| 17 |
+
prompt = "\n".join(history) + "\nAI:" # Simple conversational format
|
| 18 |
+
inputs = tokenizer(prompt, retur
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
|
|
|
|
|
|
|
| 23 |
|
| 24 |
"""
|
| 25 |
For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
|