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Running
on
Zero
Running
on
Zero
Create app.py
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app.py
ADDED
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1 |
+
import gradio as gr
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2 |
+
import spaces
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3 |
+
import torch
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4 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
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5 |
+
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6 |
+
# Load model and tokenizer
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7 |
+
model_name = "HuggingFaceTB/SmolLM3-3B"
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8 |
+
tokenizer = AutoTokenizer.from_pretrained(model_name)
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9 |
+
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
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10 |
+
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11 |
+
@spaces.GPU
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12 |
+
def chat_with_smollm3(message, history, system_prompt="", enable_thinking=True, temperature=0.6, top_p=0.95, max_tokens=32768):
|
13 |
+
"""
|
14 |
+
Chat with SmolLM3-3B model with full feature support
|
15 |
+
"""
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16 |
+
# Prepare messages
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17 |
+
messages = []
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18 |
+
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19 |
+
# Add system prompt if provided
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20 |
+
if system_prompt.strip():
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21 |
+
# Handle thinking mode flags in system prompt
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22 |
+
if enable_thinking and "/no_think" not in system_prompt:
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23 |
+
if "/think" not in system_prompt:
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+
system_prompt += "/think"
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25 |
+
elif not enable_thinking and "/think" not in system_prompt:
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26 |
+
if "/no_think" not in system_prompt:
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+
system_prompt += "/no_think"
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28 |
+
messages.append({"role": "system", "content": system_prompt})
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29 |
+
else:
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30 |
+
# Use enable_thinking parameter if no system prompt
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31 |
+
if not enable_thinking:
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32 |
+
messages.append({"role": "system", "content": "/no_think"})
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33 |
+
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34 |
+
# Add conversation history
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35 |
+
for human_msg, assistant_msg in history:
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36 |
+
messages.append({"role": "user", "content": human_msg})
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37 |
+
if assistant_msg:
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38 |
+
messages.append({"role": "assistant", "content": assistant_msg})
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39 |
+
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40 |
+
# Add current message
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41 |
+
messages.append({"role": "user", "content": message})
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42 |
+
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43 |
+
# Apply chat template
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44 |
+
text = tokenizer.apply_chat_template(
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45 |
+
messages,
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46 |
+
tokenize=False,
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47 |
+
add_generation_prompt=True,
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48 |
+
enable_thinking=enable_thinking if not system_prompt.strip() else None
|
49 |
+
)
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50 |
+
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51 |
+
# Tokenize input
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52 |
+
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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53 |
+
|
54 |
+
# Generate response
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55 |
+
with torch.no_grad():
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56 |
+
generated_ids = model.generate(
|
57 |
+
**model_inputs,
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58 |
+
max_new_tokens=max_tokens,
|
59 |
+
temperature=temperature,
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60 |
+
top_p=top_p,
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61 |
+
do_sample=True,
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62 |
+
pad_token_id=tokenizer.eos_token_id
|
63 |
+
)
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64 |
+
|
65 |
+
# Decode response
|
66 |
+
output_ids = generated_ids[0][len(model_inputs.input_ids[0]):]
|
67 |
+
response = tokenizer.decode(output_ids, skip_special_tokens=True)
|
68 |
+
|
69 |
+
return response
|
70 |
+
|
71 |
+
@spaces.GPU
|
72 |
+
def chat_with_tools(message, history, tools_json="", system_prompt="", enable_thinking=False, temperature=0.6, top_p=0.95, max_tokens=32768):
|
73 |
+
"""
|
74 |
+
Chat with SmolLM3-3B using tool calling capabilities
|
75 |
+
"""
|
76 |
+
# Parse tools if provided
|
77 |
+
tools = []
|
78 |
+
if tools_json.strip():
|
79 |
+
try:
|
80 |
+
import json
|
81 |
+
tools = json.loads(tools_json)
|
82 |
+
except:
|
83 |
+
return "Error: Invalid JSON format for tools"
|
84 |
+
|
85 |
+
# Prepare messages
|
86 |
+
messages = []
|
87 |
+
|
88 |
+
# Add system prompt if provided
|
89 |
+
if system_prompt.strip():
|
90 |
+
messages.append({"role": "system", "content": system_prompt})
|
91 |
+
|
92 |
+
# Add conversation history
|
93 |
+
for human_msg, assistant_msg in history:
|
94 |
+
messages.append({"role": "user", "content": human_msg})
|
95 |
+
if assistant_msg:
|
96 |
+
messages.append({"role": "assistant", "content": assistant_msg})
|
97 |
+
|
98 |
+
# Add current message
|
99 |
+
messages.append({"role": "user", "content": message})
|
100 |
+
|
101 |
+
# Apply chat template with tools
|
102 |
+
text = tokenizer.apply_chat_template(
|
103 |
+
messages,
|
104 |
+
tokenize=False,
|
105 |
+
add_generation_prompt=True,
|
106 |
+
enable_thinking=enable_thinking,
|
107 |
+
xml_tools=tools if tools else None
|
108 |
+
)
|
109 |
+
|
110 |
+
# Tokenize input
|
111 |
+
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
|
112 |
+
|
113 |
+
# Generate response
|
114 |
+
with torch.no_grad():
|
115 |
+
generated_ids = model.generate(
|
116 |
+
**model_inputs,
|
117 |
+
max_new_tokens=max_tokens,
|
118 |
+
temperature=temperature,
|
119 |
+
top_p=top_p,
|
120 |
+
do_sample=True,
|
121 |
+
pad_token_id=tokenizer.eos_token_id
|
122 |
+
)
|
123 |
+
|
124 |
+
# Decode response
|
125 |
+
output_ids = generated_ids[0][len(model_inputs.input_ids[0]):]
|
126 |
+
response = tokenizer.decode(output_ids, skip_special_tokens=True)
|
127 |
+
|
128 |
+
return response
|
129 |
+
|
130 |
+
# Example tools for demonstration
|
131 |
+
example_tools = """[
|
132 |
+
{
|
133 |
+
"name": "get_weather",
|
134 |
+
"description": "Get the weather in a city",
|
135 |
+
"parameters": {
|
136 |
+
"type": "object",
|
137 |
+
"properties": {
|
138 |
+
"city": {
|
139 |
+
"type": "string",
|
140 |
+
"description": "The city to get the weather for"
|
141 |
+
}
|
142 |
+
}
|
143 |
+
}
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"name": "calculate",
|
147 |
+
"description": "Perform basic mathematical calculations",
|
148 |
+
"parameters": {
|
149 |
+
"type": "object",
|
150 |
+
"properties": {
|
151 |
+
"expression": {
|
152 |
+
"type": "string",
|
153 |
+
"description": "Mathematical expression to evaluate"
|
154 |
+
}
|
155 |
+
}
|
156 |
+
}
|
157 |
+
}
|
158 |
+
]"""
|
159 |
+
|
160 |
+
# Create Gradio interface with dark theme and mobile support
|
161 |
+
with gr.Blocks(
|
162 |
+
title="SmolLM3-3B Chat",
|
163 |
+
theme=gr.themes.Base().set(
|
164 |
+
background_fill_primary="#1a1a1a",
|
165 |
+
background_fill_secondary="#2d2d2d",
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166 |
+
border_color_primary="#404040",
|
167 |
+
button_primary_background_fill="#4a9eff",
|
168 |
+
button_primary_background_fill_hover="#5aa3ff",
|
169 |
+
button_primary_text_color="#ffffff",
|
170 |
+
block_background_fill="#2d2d2d",
|
171 |
+
block_border_color="#404040",
|
172 |
+
input_background_fill="#3a3a3a",
|
173 |
+
input_border_color="#404040",
|
174 |
+
slider_color="#4a9eff",
|
175 |
+
checkbox_background_color="#3a3a3a",
|
176 |
+
checkbox_border_color="#404040",
|
177 |
+
textbox_border_color="#404040",
|
178 |
+
),
|
179 |
+
css="""
|
180 |
+
/* Mobile-first responsive design */
|
181 |
+
@media (max-width: 768px) {
|
182 |
+
.gradio-container {
|
183 |
+
padding: 8px !important;
|
184 |
+
}
|
185 |
+
.gr-row {
|
186 |
+
flex-direction: column !important;
|
187 |
+
}
|
188 |
+
.gr-column {
|
189 |
+
width: 100% !important;
|
190 |
+
min-width: 0 !important;
|
191 |
+
}
|
192 |
+
.gr-tabs {
|
193 |
+
font-size: 14px !important;
|
194 |
+
}
|
195 |
+
.gr-button {
|
196 |
+
width: 100% !important;
|
197 |
+
margin: 2px 0 !important;
|
198 |
+
}
|
199 |
+
.gr-textbox {
|
200 |
+
font-size: 16px !important;
|
201 |
+
}
|
202 |
+
.gr-chatbot {
|
203 |
+
height: 400px !important;
|
204 |
+
}
|
205 |
+
.gr-markdown {
|
206 |
+
font-size: 14px !important;
|
207 |
+
}
|
208 |
+
.gr-slider {
|
209 |
+
width: 100% !important;
|
210 |
+
}
|
211 |
+
.settings-panel {
|
212 |
+
margin-top: 20px !important;
|
213 |
+
}
|
214 |
+
}
|
215 |
+
|
216 |
+
/* Settings panel styling */
|
217 |
+
.settings-panel {
|
218 |
+
background-color: #2d2d2d !important;
|
219 |
+
border: 1px solid #404040 !important;
|
220 |
+
border-radius: 8px !important;
|
221 |
+
padding: 16px !important;
|
222 |
+
margin-top: 12px !important;
|
223 |
+
}
|
224 |
+
|
225 |
+
.settings-button {
|
226 |
+
background-color: #3a3a3a !important;
|
227 |
+
border: 1px solid #404040 !important;
|
228 |
+
color: #ffffff !important;
|
229 |
+
padding: 8px 16px !important;
|
230 |
+
border-radius: 6px !important;
|
231 |
+
cursor: pointer !important;
|
232 |
+
font-size: 14px !important;
|
233 |
+
margin-bottom: 8px !important;
|
234 |
+
}
|
235 |
+
|
236 |
+
.settings-button:hover {
|
237 |
+
background-color: #4a4a4a !important;
|
238 |
+
}
|
239 |
+
|
240 |
+
/* Dark mode improvements */
|
241 |
+
.gr-chatbot {
|
242 |
+
background-color: #2d2d2d !important;
|
243 |
+
}
|
244 |
+
|
245 |
+
.gr-chatbot .message {
|
246 |
+
background-color: #3a3a3a !important;
|
247 |
+
border: 1px solid #404040 !important;
|
248 |
+
border-radius: 8px !important;
|
249 |
+
margin: 4px 0 !important;
|
250 |
+
padding: 8px !important;
|
251 |
+
}
|
252 |
+
|
253 |
+
.gr-chatbot .message.user {
|
254 |
+
background-color: #4a9eff !important;
|
255 |
+
color: white !important;
|
256 |
+
}
|
257 |
+
|
258 |
+
.gr-chatbot .message.bot {
|
259 |
+
background-color: #3a3a3a !important;
|
260 |
+
color: #ffffff !important;
|
261 |
+
}
|
262 |
+
|
263 |
+
/* Better mobile touch targets */
|
264 |
+
@media (max-width: 768px) {
|
265 |
+
.gr-button {
|
266 |
+
min-height: 44px !important;
|
267 |
+
padding: 12px !important;
|
268 |
+
}
|
269 |
+
.gr-slider input {
|
270 |
+
min-height: 44px !important;
|
271 |
+
}
|
272 |
+
.gr-checkbox {
|
273 |
+
min-height: 44px !important;
|
274 |
+
}
|
275 |
+
}
|
276 |
+
|
277 |
+
/* Improve readability */
|
278 |
+
.gr-markdown h1, .gr-markdown h2, .gr-markdown h3 {
|
279 |
+
color: #ffffff !important;
|
280 |
+
}
|
281 |
+
|
282 |
+
.gr-markdown p, .gr-markdown li {
|
283 |
+
color: #e0e0e0 !important;
|
284 |
+
}
|
285 |
+
|
286 |
+
/* Tab styling */
|
287 |
+
.gr-tabs .gr-tab {
|
288 |
+
background-color: #3a3a3a !important;
|
289 |
+
color: #ffffff !important;
|
290 |
+
border-color: #404040 !important;
|
291 |
+
}
|
292 |
+
|
293 |
+
.gr-tabs .gr-tab.selected {
|
294 |
+
background-color: #4a9eff !important;
|
295 |
+
color: #ffffff !important;
|
296 |
+
}
|
297 |
+
"""
|
298 |
+
) as demo:
|
299 |
+
gr.Markdown("# π€ SmolLM3-3B Chat Interface")
|
300 |
+
gr.Markdown("Chat with SmolLM3-3B, a 3B parameter model with advanced reasoning, long context support, and tool calling capabilities.")
|
301 |
+
|
302 |
+
with gr.Tabs():
|
303 |
+
with gr.TabItem("π¬ Standard Chat"):
|
304 |
+
chatbot = gr.Chatbot(height=500, label="Chat with SmolLM3-3B")
|
305 |
+
msg = gr.Textbox(label="Your message", placeholder="Type your message here...")
|
306 |
+
|
307 |
+
with gr.Row():
|
308 |
+
submit = gr.Button("Send", variant="primary")
|
309 |
+
clear = gr.Button("Clear")
|
310 |
+
settings_btn = gr.Button("βοΈ Settings", size="sm")
|
311 |
+
|
312 |
+
with gr.Column(visible=False, elem_classes="settings-panel") as settings_panel:
|
313 |
+
gr.Markdown("### βοΈ Advanced Settings")
|
314 |
+
system_prompt = gr.Textbox(
|
315 |
+
label="System Prompt",
|
316 |
+
placeholder="Enter system instructions (optional)",
|
317 |
+
lines=3,
|
318 |
+
value="You are an AI assistant trained by HuggingFace. You are helpful, harmless, and honest."
|
319 |
+
)
|
320 |
+
enable_thinking = gr.Checkbox(
|
321 |
+
label="Enable Extended Thinking",
|
322 |
+
value=True,
|
323 |
+
info="Enable reasoning traces for better responses"
|
324 |
+
)
|
325 |
+
temperature = gr.Slider(
|
326 |
+
minimum=0.0,
|
327 |
+
maximum=2.0,
|
328 |
+
value=0.6,
|
329 |
+
step=0.1,
|
330 |
+
label="Temperature"
|
331 |
+
)
|
332 |
+
top_p = gr.Slider(
|
333 |
+
minimum=0.0,
|
334 |
+
maximum=1.0,
|
335 |
+
value=0.95,
|
336 |
+
step=0.05,
|
337 |
+
label="Top-p"
|
338 |
+
)
|
339 |
+
max_tokens = gr.Slider(
|
340 |
+
minimum=1,
|
341 |
+
maximum=32768,
|
342 |
+
value=32768,
|
343 |
+
step=1,
|
344 |
+
label="Max Tokens"
|
345 |
+
)
|
346 |
+
|
347 |
+
def respond(message, history, sys_prompt, thinking, temp, top_p_val, max_tok):
|
348 |
+
response = chat_with_smollm3(message, history, sys_prompt, thinking, temp, top_p_val, max_tok)
|
349 |
+
history.append((message, response))
|
350 |
+
return "", history
|
351 |
+
|
352 |
+
def toggle_settings():
|
353 |
+
return gr.update(visible=not settings_panel.visible)
|
354 |
+
|
355 |
+
submit.click(respond, [msg, chatbot, system_prompt, enable_thinking, temperature, top_p, max_tokens], [msg, chatbot])
|
356 |
+
msg.submit(respond, [msg, chatbot, system_prompt, enable_thinking, temperature, top_p, max_tokens], [msg, chatbot])
|
357 |
+
clear.click(lambda: ([], ""), outputs=[chatbot, msg])
|
358 |
+
settings_btn.click(toggle_settings, outputs=[settings_panel])
|
359 |
+
|
360 |
+
with gr.TabItem("π οΈ Tool Calling"):
|
361 |
+
tool_chatbot = gr.Chatbot(height=500, label="Chat with Tools")
|
362 |
+
tool_msg = gr.Textbox(label="Your message", placeholder="Ask me to use tools...")
|
363 |
+
|
364 |
+
with gr.Row():
|
365 |
+
tool_submit = gr.Button("Send", variant="primary")
|
366 |
+
tool_clear = gr.Button("Clear")
|
367 |
+
tool_settings_btn = gr.Button("βοΈ Settings", size="sm")
|
368 |
+
|
369 |
+
with gr.Column(visible=False, elem_classes="settings-panel") as tool_settings_panel:
|
370 |
+
gr.Markdown("### π οΈ Tool Settings")
|
371 |
+
tools_json = gr.Textbox(
|
372 |
+
label="Tools JSON",
|
373 |
+
placeholder="Enter tools as JSON array",
|
374 |
+
lines=10,
|
375 |
+
value=example_tools
|
376 |
+
)
|
377 |
+
tool_system_prompt = gr.Textbox(
|
378 |
+
label="System Prompt",
|
379 |
+
placeholder="Enter system instructions (optional)",
|
380 |
+
lines=2,
|
381 |
+
value="You are an AI assistant trained by HuggingFace. You are helpful, harmless, and honest."
|
382 |
+
)
|
383 |
+
tool_thinking = gr.Checkbox(
|
384 |
+
label="Enable Extended Thinking",
|
385 |
+
value=False,
|
386 |
+
info="Enable reasoning traces for tool usage"
|
387 |
+
)
|
388 |
+
tool_temperature = gr.Slider(
|
389 |
+
minimum=0.0,
|
390 |
+
maximum=2.0,
|
391 |
+
value=0.6,
|
392 |
+
step=0.1,
|
393 |
+
label="Temperature"
|
394 |
+
)
|
395 |
+
tool_top_p = gr.Slider(
|
396 |
+
minimum=0.0,
|
397 |
+
maximum=1.0,
|
398 |
+
value=0.95,
|
399 |
+
step=0.05,
|
400 |
+
label="Top-p"
|
401 |
+
)
|
402 |
+
tool_max_tokens = gr.Slider(
|
403 |
+
minimum=1,
|
404 |
+
maximum=32768,
|
405 |
+
value=32768,
|
406 |
+
step=1,
|
407 |
+
label="Max Tokens"
|
408 |
+
)
|
409 |
+
|
410 |
+
def tool_respond(message, history, tools, sys_prompt, thinking, temp, top_p_val, max_tok):
|
411 |
+
response = chat_with_tools(message, history, tools, sys_prompt, thinking, temp, top_p_val, max_tok)
|
412 |
+
history.append((message, response))
|
413 |
+
return "", history
|
414 |
+
|
415 |
+
def toggle_tool_settings():
|
416 |
+
return gr.update(visible=not tool_settings_panel.visible)
|
417 |
+
|
418 |
+
tool_submit.click(tool_respond, [tool_msg, tool_chatbot, tools_json, tool_system_prompt, tool_thinking, tool_temperature, tool_top_p, tool_max_tokens], [tool_msg, tool_chatbot])
|
419 |
+
tool_msg.submit(tool_respond, [tool_msg, tool_chatbot, tools_json, tool_system_prompt, tool_thinking, tool_temperature, tool_top_p, tool_max_tokens], [tool_msg, tool_chatbot])
|
420 |
+
tool_clear.click(lambda: ([], ""), outputs=[tool_chatbot, tool_msg])
|
421 |
+
tool_settings_btn.click(toggle_tool_settings, outputs=[tool_settings_panel])
|
422 |
+
|
423 |
+
gr.Markdown("""
|
424 |
+
### π Model Information
|
425 |
+
- **Model**: HuggingFaceTB/SmolLM3-3B
|
426 |
+
- **Features**: Advanced reasoning, long context (up to 128k tokens), multilingual support
|
427 |
+
- **Languages**: English, French, Spanish, German, Italian, Portuguese (+ Arabic, Chinese, Russian)
|
428 |
+
- **Extended Thinking**: Provides reasoning traces for better responses
|
429 |
+
- **Tool Calling**: Supports XML-based tool calling for agentic workflows
|
430 |
+
|
431 |
+
### π‘ Usage Tips
|
432 |
+
- Use Extended Thinking for complex reasoning tasks
|
433 |
+
- Adjust temperature (0.6 recommended) for response creativity
|
434 |
+
- Try different system prompts for specialized behaviors
|
435 |
+
- Use tool calling for function-based interactions
|
436 |
+
""")
|
437 |
+
|
438 |
+
if __name__ == "__main__":
|
439 |
+
demo.launch()
|