CCockrum commited on
Commit
e972600
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1 Parent(s): 816d697

Update app.py

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Files changed (1) hide show
  1. app.py +19 -7
app.py CHANGED
@@ -1,25 +1,28 @@
1
  import gradio as gr
2
  from huggingface_hub import InferenceClient
3
 
4
- # Custom background CSS with semi-transparent panel
5
  css = """
 
 
6
  body {
7
  background-image: url('https://cdn-uploads.huggingface.co/production/uploads/67351c643fe51cb1aa28f2e5/wuyd5UYTh9jPrMJGmV9yC.jpeg');
8
  background-size: cover;
9
  background-position: center;
10
  background-repeat: no-repeat;
 
11
  }
12
  #chat-panel {
13
  background-color: rgba(255, 255, 255, 0.85);
14
  padding: 2rem;
15
  border-radius: 12px;
16
  max-width: 700px;
17
- height: 70vh;
18
  margin: auto;
19
  box-shadow: 0 0 12px rgba(0, 0, 0, 0.3);
20
  overflow-y: auto;
21
  }
22
- #chat-title {
23
  color: #d63384 !important;
24
  font-family: 'Playfair Display', serif !important;
25
  font-size: 1.8rem !important;
@@ -28,6 +31,7 @@ body {
28
  margin-bottom: 1rem !important;
29
  }
30
  """
 
31
  client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
32
 
33
  def respond(
@@ -39,13 +43,17 @@ def respond(
39
  top_p,
40
  ):
41
  messages = [{"role": "system", "content": system_message}]
 
42
  for val in history:
43
  if val[0]:
44
  messages.append({"role": "user", "content": val[0]})
45
  if val[1]:
46
  messages.append({"role": "assistant", "content": val[1]})
 
47
  messages.append({"role": "user", "content": message})
 
48
  response = ""
 
49
  for message in client.chat_completion(
50
  messages,
51
  max_tokens=max_tokens,
@@ -59,17 +67,21 @@ def respond(
59
 
60
  with gr.Blocks(css=css) as demo:
61
  with gr.Column(elem_id="chat-panel"):
 
 
62
  with gr.Accordion("⚙️ Settings", open=False):
63
- system_message = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
 
 
 
64
  max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
65
  temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
66
  top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
67
-
68
  gr.ChatInterface(
69
  respond,
70
- title="🇫🇷 French Tutor", # Set title directly in ChatInterface
71
  additional_inputs=[system_message, max_tokens, temperature, top_p]
72
  )
73
 
74
  if __name__ == "__main__":
75
- demo.launch()
 
1
  import gradio as gr
2
  from huggingface_hub import InferenceClient
3
 
4
+ # Custom background CSS with forced title styling
5
  css = """
6
+ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP&family=Playfair+Display&display=swap');
7
+
8
  body {
9
  background-image: url('https://cdn-uploads.huggingface.co/production/uploads/67351c643fe51cb1aa28f2e5/wuyd5UYTh9jPrMJGmV9yC.jpeg');
10
  background-size: cover;
11
  background-position: center;
12
  background-repeat: no-repeat;
13
+ font-family: 'Noto Sans JP', sans-serif;
14
  }
15
  #chat-panel {
16
  background-color: rgba(255, 255, 255, 0.85);
17
  padding: 2rem;
18
  border-radius: 12px;
19
  max-width: 700px;
20
+ height: 90vh;
21
  margin: auto;
22
  box-shadow: 0 0 12px rgba(0, 0, 0, 0.3);
23
  overflow-y: auto;
24
  }
25
+ .markdown-element h2 {
26
  color: #d63384 !important;
27
  font-family: 'Playfair Display', serif !important;
28
  font-size: 1.8rem !important;
 
31
  margin-bottom: 1rem !important;
32
  }
33
  """
34
+
35
  client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
36
 
37
  def respond(
 
43
  top_p,
44
  ):
45
  messages = [{"role": "system", "content": system_message}]
46
+
47
  for val in history:
48
  if val[0]:
49
  messages.append({"role": "user", "content": val[0]})
50
  if val[1]:
51
  messages.append({"role": "assistant", "content": val[1]})
52
+
53
  messages.append({"role": "user", "content": message})
54
+
55
  response = ""
56
+
57
  for message in client.chat_completion(
58
  messages,
59
  max_tokens=max_tokens,
 
67
 
68
  with gr.Blocks(css=css) as demo:
69
  with gr.Column(elem_id="chat-panel"):
70
+ gr.Markdown("## 🇯🇵 Japanese Tutor Chatbot")
71
+
72
  with gr.Accordion("⚙️ Settings", open=False):
73
+ system_message = gr.Textbox(
74
+ value="You are an expert Japanese tutor. Help users understand Japanese grammar, vocabulary, sentence structure, particles, and kanji readings. Reply clearly in English unless the user specifies otherwise.",
75
+ label="System message"
76
+ )
77
  max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
78
  temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
79
  top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
80
+
81
  gr.ChatInterface(
82
  respond,
 
83
  additional_inputs=[system_message, max_tokens, temperature, top_p]
84
  )
85
 
86
  if __name__ == "__main__":
87
+ demo.launch()