Tijmen2 commited on
Commit
ea879f1
·
verified ·
1 Parent(s): ab9ab4a

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +27 -47
app.py CHANGED
@@ -1,64 +1,44 @@
1
  import gradio as gr
2
- from huggingface_hub import InferenceClient
3
-
4
- """
5
- 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
6
- """
7
- client = InferenceClient("AstroMLab/AstroSage-8B-GGUF")
8
-
 
 
 
 
 
9
 
10
- def respond(
11
- message,
12
- history: list[tuple[str, str]],
13
- system_message,
14
- max_tokens,
15
- temperature,
16
- top_p,
17
- ):
18
  messages = [{"role": "system", "content": system_message}]
19
-
20
- for val in history:
21
- if val[0]:
22
- messages.append({"role": "user", "content": val[0]})
23
- if val[1]:
24
- messages.append({"role": "assistant", "content": val[1]})
25
-
26
  messages.append({"role": "user", "content": message})
27
-
28
- response = ""
29
-
30
- for message in client.chat_completion(
31
  messages,
32
  max_tokens=max_tokens,
33
- stream=True,
34
  temperature=temperature,
35
- top_p=top_p,
36
- ):
37
- token = message.choices[0].delta.content
38
-
39
- response += token
40
- yield response
41
 
42
-
43
- """
44
- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
45
- """
46
  demo = gr.ChatInterface(
47
  respond,
48
  additional_inputs=[
49
  gr.Textbox(value="Assume the role of AstroSage, a helpful chatbot designed to answer user queries about astronomy, astrophysics, and cosmology.", label="System message"),
50
  gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
51
  gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
52
- gr.Slider(
53
- minimum=0.1,
54
- maximum=1.0,
55
- value=0.95,
56
- step=0.05,
57
- label="Top-p (nucleus sampling)",
58
- ),
59
- ],
60
  )
61
 
62
-
63
  if __name__ == "__main__":
64
- demo.launch()
 
1
  import gradio as gr
2
+ from llama_cpp import Llama
3
+
4
+ llm = Llama(
5
+ "AstroMLab/AstroSage-8B-GGUF",
6
+ n_ctx=8192,
7
+ n_threads=4,
8
+ seed=42,
9
+ f16_kv=True,
10
+ logits_all=False,
11
+ use_mmap=True,
12
+ use_gpu=True
13
+ )
14
 
15
+ def respond(message, history, system_message, max_tokens, temperature, top_p):
 
 
 
 
 
 
 
16
  messages = [{"role": "system", "content": system_message}]
17
+ for user_msg, assistant_msg in history:
18
+ if user_msg:
19
+ messages.append({"role": "user", "content": user_msg})
20
+ if assistant_msg:
21
+ messages.append({"role": "assistant", "content": assistant_msg})
 
 
22
  messages.append({"role": "user", "content": message})
23
+
24
+ response = llm.generate_chat(
 
 
25
  messages,
26
  max_tokens=max_tokens,
 
27
  temperature=temperature,
28
+ top_p=top_p
29
+ )
30
+
31
+ return response
 
 
32
 
 
 
 
 
33
  demo = gr.ChatInterface(
34
  respond,
35
  additional_inputs=[
36
  gr.Textbox(value="Assume the role of AstroSage, a helpful chatbot designed to answer user queries about astronomy, astrophysics, and cosmology.", label="System message"),
37
  gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
38
  gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
39
+ gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)"),
40
+ ]
 
 
 
 
 
 
41
  )
42
 
 
43
  if __name__ == "__main__":
44
+ demo.launch()