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2c53cdf
1
Parent(s):
a0aec8b
updated
Browse files
app.py
CHANGED
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@@ -1,10 +1,9 @@
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import gradio as gr
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import joblib
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from src.preprocess import clean_text
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import time
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import datetime
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# Load model
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model = joblib.load("models/lms_chatbot.joblib")
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responses = joblib.load("models/responses.joblib")
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history = []
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def chatbot_response(user_input):
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"""Generates chat HTML with typing animation for bot."""
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if not user_input.strip():
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return ""
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#
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timestamp = datetime.datetime.now().strftime("%H:%M")
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history.append({
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"sender": "You",
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@@ -26,32 +24,12 @@ def chatbot_response(user_input):
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"align": "right"
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})
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# Bot
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<div style="text-align:left; margin:8px 0;">
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<div style="display:inline-block; background:#FFFFFF; padding:10px 15px; border-radius:20px; max-width:70%; box-shadow: 0 2px 5px rgba(0,0,0,0.2); font-style:italic; color:gray;">
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Bot is typing...
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</div>
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</div>
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"""
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# Render chat with typing bubble
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chat_html = render_chat(typing=True)
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# Simulate typing
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for i in range(len(bot_reply)+1):
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history.append({
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"sender": "Bot",
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"message": bot_reply[:i],
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"time": timestamp,
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"color": "#FFFFFF",
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"align": "left"
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})
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chat_html = render_chat()
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time.sleep(0.03)
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history.pop() # remove last partial message to update in next loop
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# Add
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history.append({
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"sender": "Bot",
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"message": bot_reply,
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@@ -59,30 +37,23 @@ def chatbot_response(user_input):
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"color": "#FFFFFF",
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"align": "left"
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})
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return render_chat()
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def render_chat(
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chat_html = """
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<div style="font-family:Helvetica, Arial; background:#F0F0F0; padding:15px; height:400px; overflow-y:auto; border-radius:10px; border:1px solid #ccc">
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"""
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for msg in history:
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chat_html += f"""
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<div style="text-align:{msg['align']}; margin:8px 0;">
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<div style="display:inline-block; background:{msg['color']}; padding:10px 15px; border-radius:20px; max-width:70%; box-shadow:
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{msg['message']}<br>
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<span style="font-size:10px; color:gray; float:right;">{msg['time']}</span>
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</div>
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</div>
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"""
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if typing:
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chat_html += """
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<div style="text-align:left; margin:8px 0;">
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<div style="display:inline-block; background:#FFFFFF; padding:10px 15px; border-radius:20px; max-width:70%; box-shadow: 0 2px 5px rgba(0,0,0,0.2); font-style:italic; color:gray;">
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Bot is typing...
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</div>
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</div>
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"""
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chat_html += "</div>"
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return chat_html
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inputs=gr.Textbox(lines=2, placeholder="Type your message here...", label="Your Message"),
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outputs=gr.HTML(label="Chat"),
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title="🟢 LMS Chatbot",
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description="Ask anything about your LMS. Automatic reply with
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)
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if __name__ == "__main__":
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import gradio as gr
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import joblib
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from src.preprocess import clean_text
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import datetime
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# Load model & responses
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model = joblib.load("models/lms_chatbot.joblib")
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responses = joblib.load("models/responses.joblib")
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history = []
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def chatbot_response(user_input):
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if not user_input.strip():
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return ""
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# Add user message
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timestamp = datetime.datetime.now().strftime("%H:%M")
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history.append({
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"sender": "You",
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"align": "right"
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})
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# Bot prediction
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tag = model.predict([clean_text(user_input)])[0]
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bot_reply = responses.get(tag, ["Sorry, I don't understand."])[0]
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# Add bot message
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timestamp = datetime.datetime.now().strftime("%H:%M")
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history.append({
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"sender": "Bot",
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"message": bot_reply,
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"color": "#FFFFFF",
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"align": "left"
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})
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# Render chat
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return render_chat()
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def render_chat():
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chat_html = """
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<div style="font-family:Helvetica, Arial; background:#F0F0F0; padding:15px; height:400px; overflow-y:auto; border-radius:10px; border:1px solid #ccc;">
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"""
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for msg in history:
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chat_html += f"""
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<div style="text-align:{msg['align']}; margin:8px 0;">
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<div style="display:inline-block; background:{msg['color']}; padding:10px 15px; border-radius:20px; max-width:70%; box-shadow:0 2px 5px rgba(0,0,0,0.2);">
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{msg['message']}<br>
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<span style="font-size:10px; color:gray; float:right;">{msg['time']}</span>
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</div>
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</div>
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"""
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chat_html += "</div>"
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return chat_html
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inputs=gr.Textbox(lines=2, placeholder="Type your message here...", label="Your Message"),
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outputs=gr.HTML(label="Chat"),
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title="🟢 LMS Chatbot",
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description="Ask anything about your LMS. Automatic reply with chat bubbles and timestamps!"
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)
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if __name__ == "__main__":
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