File size: 10,016 Bytes
7156c6a
 
 
 
 
 
 
fc0e6fb
 
7156c6a
 
fc0e6fb
7156c6a
fc0e6fb
 
7156c6a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1e20ca4
7156c6a
1e20ca4
7156c6a
 
1e20ca4
 
 
 
 
 
 
 
 
 
 
7156c6a
 
1e20ca4
7156c6a
 
 
 
 
 
 
 
1e20ca4
7156c6a
 
 
 
1e20ca4
 
 
 
 
 
 
 
 
 
 
f5d58e2
 
 
 
 
 
1e20ca4
 
 
 
 
e5962a9
1e20ca4
 
 
 
 
e5962a9
1e20ca4
 
 
 
 
 
e5962a9
1e20ca4
 
 
e5962a9
1e20ca4
 
 
 
 
e5962a9
 
1e20ca4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7156c6a
 
1e20ca4
 
 
 
7156c6a
 
1e20ca4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7156c6a
 
 
1e20ca4
7156c6a
 
 
1e20ca4
 
 
 
 
 
 
7156c6a
 
 
 
 
 
 
1e20ca4
7156c6a
1e20ca4
7156c6a
 
 
 
 
f5d58e2
 
 
 
 
 
 
 
e5962a9
 
f5d58e2
 
e5962a9
 
f5d58e2
 
 
 
 
 
7156c6a
f5d58e2
 
 
 
 
 
 
7156c6a
f5d58e2
 
 
 
 
 
 
 
 
 
 
7156c6a
 
 
 
 
 
 
 
f5d58e2
 
7156c6a
 
 
 
 
 
 
 
f5d58e2
 
 
 
1e20ca4
7156c6a
1e20ca4
 
 
7156c6a
 
 
 
 
 
 
f5d58e2
 
1e20ca4
7156c6a
1e20ca4
 
 
7156c6a
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
import gradio as gr
from langchain_mistralai import ChatMistralAI
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.output_parsers import StrOutputParser
import os

# Set up API keys from environment variables
mistral_api_key = os.getenv("mistralapikey", "HQ2u8NYTq0Bpc8zpuEQ9rxLd9p7PgHXA")
langchain_api_key = os.getenv("langchainapikey", "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")

# Environment setup
os.environ["mistralapikey"] = mistral_api_key
if langchain_api_key:
    os.environ["langchaintracingv2"] = "true"
    os.environ["langchainapikey"] = langchain_api_key

# Prompt Template
prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a helpful AI assistant powered by Codestral. Please provide clear, accurate, and helpful responses to user queries."),
    ("user", "Question: {question}")
])

# Initialize components
def initialize_chain(temperature=0.7, max_tokens=500):
    """Initialize the Codestral AI chain with given parameters"""
    llm = ChatMistralAI(
        model="codestral-latest",
        mistral_api_key=mistral_api_key,
        temperature=temperature,
        max_tokens=max_tokens
    )
    output_parser = StrOutputParser()
    return prompt | llm | output_parser

def chat_with_codestral(message, history, temperature, max_tokens):
    """Chat function for Gradio interface"""
    try:
        # Initialize chain with current parameters
        chain = initialize_chain(temperature, max_tokens)
        
        # Get response from Codestral
        response = chain.invoke({"question": message})
        
        # Add to history
        history.append([message, response])
        
        return history, ""
    
    except Exception as e:
        error_message = f"❌ Error: {str(e)}"
        history.append([message, error_message])
        return history, ""

def clear_chat():
    """Clear chat history"""
    return [], ""

# Responsive CSS with mobile-first approach
css = """
/* Base styles - Mobile first */
.gradio-container {
    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
    max-width: 100%;
    margin: 0 auto;
    padding: 10px;
}

/* Large screens - center content with max width */
@media (min-width: 1200px) {
    .gradio-container {
        max-width: 1400px;
        padding: 20px;
    }
}

/* Chat message styling */
.chat-message {
    padding: 10px;
    margin: 5px 0;
    border-radius: 10px;
}

.user-message {
    background-color: #e3f2fd;
    margin-left: 10%;
}

.bot-message {
    background-color: #f5f5f5;
    margin-right: 10%;
}

/* Responsive layout adjustments */
@media (max-width: 768px) {
    .user-message {
        margin-left: 5%;
    }
    .bot-message {
        margin-right: 5%;
    }
    
    /* Stack settings and info boxes on mobile */
    .settings-row,
    .info-row {
        flex-direction: column;
    }
}

/* Chatbot container responsive height */
.chatbot-container {
    height: 400px;
    margin-bottom: 10px !important;
}

@media (min-width: 768px) {
    .chatbot-container {
        height: 500px;
        margin-bottom: 15px !important;
    }
}

@media (min-width: 1024px) {
    .chatbot-container {
        height: 600px;
        margin-bottom: 15px !important;
    }
}

/* Reduce gap between chatbot and input */
.input-row {
    display: flex;
    gap: 10px;
    align-items: flex-end;
    flex-wrap: nowrap;
    margin-top: 0 !important;
    padding-top: 0 !important;
}

@media (max-width: 480px) {
    .input-row {
        flex-direction: column;
        gap: 8px;
    }
    
    .input-row .textbox {
        width: 100% !important;
    }
    
    .input-row .button {
        width: 100% !important;
        min-width: unset !important;
    }
}

/* Button responsive sizing */
.send-button {
    min-width: 80px;
    white-space: nowrap;
}

@media (max-width: 480px) {
    .send-button {
        min-width: unset;
        padding: 8px 16px;
    }
}

/* Settings panel responsive behavior */
.settings-panel {
    min-width: 200px;
}

@media (max-width: 1024px) {
    .settings-panel {
        min-width: 180px;
    }
}

@media (max-width: 768px) {
    .settings-panel {
        min-width: 160px;
    }
}

/* Info boxes responsive */
.info-box {
    margin-top: 20px;
    padding: 15px;
    border-radius: 10px;
    font-size: 14px;
}

@media (max-width: 768px) {
    .info-box {
        margin-top: 15px;
        padding: 12px;
        font-size: 13px;
    }
}

@media (max-width: 480px) {
    .info-box {
        margin-top: 10px;
        padding: 10px;
        font-size: 12px;
    }
}

/* Header responsive */
.header {
    text-align: center;
    padding: 20px;
}

@media (max-width: 768px) {
    .header {
        padding: 15px 10px;
    }
    
    .header h1 {
        font-size: 24px;
    }
    
    .header p {
        font-size: 16px;
    }
}

@media (max-width: 480px) {
    .header {
        padding: 10px 5px;
    }
    
    .header h1 {
        font-size: 20px;
    }
    
    .header p {
        font-size: 14px;
    }
}

/* Footer responsive */
.footer {
    text-align: center;
    margin-top: 20px;
    padding: 15px;
    font-size: 14px;
    color: #666;
}

@media (max-width: 768px) {
    .footer {
        font-size: 12px;
        padding: 10px;
    }
}
"""

# Create Gradio interface
with gr.Blocks(css=css, title="πŸ€– Codestral AI Chat", theme=gr.themes.Soft()) as demo:
    
    # Header
    gr.HTML("""
        <div class="header">
            <h1>πŸ€– Codestral AI Chat with LangChain</h1>
            <p style="color: #666;">
                Powered by <strong>Codestral AI</strong> from Mistral AI | Built with <strong>LangChain</strong> & <strong>Gradio</strong>
            </p>
        </div>
    """)
    
    # Main chat area - centered layout
    with gr.Column():
        chatbot = gr.Chatbot(
            label="πŸ’¬ Chat with Codestral AI",
            height=500,
            show_label=True,
            container=True,
            bubble_full_width=False,
            elem_classes=["chatbot-container"],
            show_copy_button=True
        )
        
        # Input row with responsive design - reduced gap
        with gr.Row(elem_classes=["input-row"], variant="compact"):
            msg = gr.Textbox(
                label="Your Message",
                placeholder="Type your question here...",
                lines=2,
                max_lines=4,
                scale=4,
                container=True,
                elem_classes=["textbox"]
            )
            send_btn = gr.Button(
                "Send πŸš€", 
                variant="primary", 
                scale=1,
                elem_classes=["button", "send-button"]
            )
        
        # Clear button row
        with gr.Row():
            clear_btn = gr.Button("πŸ—‘οΈ Clear Chat", variant="secondary")
    
    # Model Settings and Info - Centered below chat
    gr.HTML("<h3 style='text-align: center; margin: 30px 0 20px 0;'>βš™οΈ Model Settings</h3>")
    
    # Settings in a responsive row
    with gr.Row(elem_classes=["settings-row"]):
        with gr.Column(scale=1):
            temperature = gr.Slider(
                minimum=0.0,
                maximum=1.0,
                value=0.7,
                step=0.1,
                label="🌑️ Temperature",
                info="Controls randomness (0=focused, 1=creative)"
            )
        
        with gr.Column(scale=1):
            max_tokens = gr.Slider(
                minimum=50,
                maximum=2000,
                value=500,
                step=50,
                label="πŸ“ Max Tokens",
                info="Maximum response length"
            )
    
    # Tips and Features in responsive columns
    with gr.Row(elem_classes=["info-row"]):
        with gr.Column(scale=1):
            # Tips box
            gr.HTML("""
                <div class="info-box" style="background-color: #f8f9fa;">
                    <h4 style="margin-top: 0;">πŸ’‘ Tips:</h4>
                    <ul style="margin: 10px 0; padding-left: 20px;">
                        <li>Ask coding questions</li>
                        <li>Request explanations</li>
                        <li>Get creative writing help</li>
                        <li>Solve problems step-by-step</li>
                    </ul>
                </div>
            """)
        
        with gr.Column(scale=1):
            # Features box
            gr.HTML("""
                <div class="info-box" style="background-color: #e8f5e8;">
                    <h4 style="margin-top: 0;">πŸ”§ Features:</h4>
                    <ul style="margin: 10px 0; padding-left: 20px;">
                        <li>βœ… Codestral AI Model</li>
                        <li>βœ… LangChain Integration</li>
                        <li>βœ… Real-time Responses</li>
                        <li>βœ… Adjustable Parameters</li>
                        <li>βœ… Chat History</li>
                    </ul>
                </div>
            """)

    # Event handlers
    def submit_message(message, history, temp, tokens):
        return chat_with_codestral(message, history, temp, tokens)
    
    # Button and enter key events
    send_btn.click(
        submit_message,
        inputs=[msg, chatbot, temperature, max_tokens],
        outputs=[chatbot, msg]
    )
    
    msg.submit(
        submit_message,
        inputs=[msg, chatbot, temperature, max_tokens],
        outputs=[chatbot, msg]
    )
    
    clear_btn.click(
        clear_chat,
        outputs=[chatbot, msg]
    )
    
    # Footer
    gr.HTML("""
        <div class="footer">
            <p>πŸš€ Built with <strong>Codestral AI</strong>, <strong>LangChain</strong>, and <strong>Gradio</strong></p>
            <p>Deploy on <a href="https://huggingface.co/spaces" target="_blank">πŸ€— Hugging Face Spaces</a></p>
        </div>
    """)

# Launch the app
if __name__ == "__main__":
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=True,
        show_error=True
    )