Spaces:
Running
Running
Upload app.py
Browse files
app.py
ADDED
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from huggingface_hub import InferenceClient
|
2 |
+
import gradio as gr
|
3 |
+
|
4 |
+
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
|
5 |
+
|
6 |
+
def format_prompt(message, history, system_prompt=None):
|
7 |
+
prompt = "<s>"
|
8 |
+
for user_prompt, bot_response in history:
|
9 |
+
prompt += f"[INST] {user_prompt} [/INST]"
|
10 |
+
prompt += f" {bot_response}</s> "
|
11 |
+
if system_prompt:
|
12 |
+
prompt += f"[SYS] {system_prompt} [/SYS]"
|
13 |
+
prompt += f"[INST] {message} [/INST]"
|
14 |
+
return prompt
|
15 |
+
|
16 |
+
def generate(
|
17 |
+
prompt, history, system_prompt=None, temperature=0.2, max_new_tokens=1024, top_p=0.95, repetition_penalty=1.0,
|
18 |
+
):
|
19 |
+
temperature = float(temperature)
|
20 |
+
if temperature < 1e-2:
|
21 |
+
temperature = 1e-2
|
22 |
+
top_p = float(top_p)
|
23 |
+
|
24 |
+
generate_kwargs = dict(
|
25 |
+
temperature=temperature,
|
26 |
+
max_new_tokens=max_new_tokens,
|
27 |
+
top_p=top_p,
|
28 |
+
repetition_penalty=repetition_penalty,
|
29 |
+
do_sample=True,
|
30 |
+
seed=42,
|
31 |
+
)
|
32 |
+
|
33 |
+
formatted_prompt = format_prompt(prompt, history, system_prompt)
|
34 |
+
|
35 |
+
stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
|
36 |
+
output = ""
|
37 |
+
|
38 |
+
for response in stream:
|
39 |
+
output += response.token.text
|
40 |
+
yield output
|
41 |
+
return output
|
42 |
+
|
43 |
+
mychatbot = gr.Chatbot(
|
44 |
+
avatar_images=["./user.png", "./botm.png"], bubble_full_width=False, show_label=False, show_copy_button=True, likeable=True,)
|
45 |
+
|
46 |
+
demo = gr.ChatInterface(
|
47 |
+
fn=generate,
|
48 |
+
chatbot=mychatbot,
|
49 |
+
title="Hello! I'm a Stranger🗞️.How can I help you today?",
|
50 |
+
css="body { background-color: inherit; overflow-x:hidden;}"
|
51 |
+
":root {--color-accent: transparent !important; --color-accent-soft:transparent !important; --code-background-fill:black !important; --body-text-color:white !important;}"
|
52 |
+
"#component-2 {background:#ffffff1a; display:contents;}"
|
53 |
+
"div#component-0 { height: auto !important;}"
|
54 |
+
".gradio-container.gradio-container-4-8-0.svelte-1kyws56.app {max-width: 100% !important;}"
|
55 |
+
"gradio-app {background: linear-gradient(134deg,#00425e 0%,#001a3f 43%,#421438 77%) !important; background-attachment: fixed !important; background-position: top;}"
|
56 |
+
".panel.svelte-vt1mxs {background: transparent; padding:0;}"
|
57 |
+
".block.svelte-90oupt { background: transparent; border-color: transparent;}"
|
58 |
+
".bot.svelte-12dsd9j.svelte-12dsd9j.svelte-12dsd9j { background: #ffffff1a; border-color: transparent; color: white;}"
|
59 |
+
".user.svelte-12dsd9j.svelte-12dsd9j.svelte-12dsd9j { background: #ffffff1a; border-color: transparent; color: white; padding: 10px 18px;}"
|
60 |
+
"div.svelte-iyf88w{ background: #cc98d445; border-color: transparent; border-radius: 25px;}"
|
61 |
+
"textarea.scroll-hide.svelte-1f354aw { background: transparent; color: #fff !important;}"
|
62 |
+
".primary.svelte-cmf5ev { background: transparent; color: white;}"
|
63 |
+
".primary.svelte-cmf5ev:hover { background: transparent; color: white;}"
|
64 |
+
"button#component-8 { display: none; position: absolute; margin-top: 60px; border-radius: 25px;}"
|
65 |
+
"div#component-9 { max-width: fit-content; margin-left: auto; margin-right: auto;}"
|
66 |
+
"button#component-10, button#component-11, button#component-12 { flex: none; background: #ffffff1a; border: none; color: white; margin-right: auto; margin-left: auto; border-radius: 9px; min-width: fit-content;}"
|
67 |
+
".share-button.svelte-12dsd9j { display: none;}"
|
68 |
+
"footer.svelte-mpyp5e { display: none !important;}"
|
69 |
+
".message-buttons-bubble.svelte-12dsd9j.svelte-12dsd9j.svelte-12dsd9j { border-color: #31546E; background: #31546E;}"
|
70 |
+
".bubble-wrap.svelte-12dsd9j.svelte-12dsd9j.svelte-12dsd9j {padding: 0;}"
|
71 |
+
".prose h1 { color: white !important; font-size: 16px !important; font-weight: normal !important; background: #ffffff1a; padding: 20px; border-radius: 20px; width: 90%; margin-left: auto !important; margin-right: auto !important;}"
|
72 |
+
".toast-wrap.svelte-pu0yf1 { display:none !important;}"
|
73 |
+
".scroll-hide { scrollbar-width: auto !important;}"
|
74 |
+
".main svelte-1kyws56 {max-width: 800px; align-self: center;}"
|
75 |
+
"div#component-4 {max-width: 650px; margin-left: auto; margin-right: auto;}"
|
76 |
+
"body::-webkit-scrollbar { display: none;}"
|
77 |
+
)
|
78 |
+
|
79 |
+
demo.queue().launch(show_api=False)
|