Spaces:
Sleeping
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Commit
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4fc7857
1
Parent(s):
64c2d0c
updatedd
Browse files
app.py
CHANGED
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@@ -2,18 +2,19 @@ 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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import time
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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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timestamp = datetime.datetime.now().strftime("%H:%M")
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history.append({
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"sender": "You",
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@@ -27,14 +28,7 @@ def chatbot_response(user_input):
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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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#
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display = render_chat(typing=True)
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for i in range(len(bot_reply)+1):
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temp_msg = bot_reply[:i]
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display = render_chat(temp_msg)
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time.sleep(0.02)
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# Add final 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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@@ -44,10 +38,13 @@ def chatbot_response(user_input):
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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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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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@@ -57,23 +54,16 @@ def render_chat(temp_bot_msg=""):
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</div>
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</div>
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"""
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if temp_bot_msg:
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chat_html += f"""
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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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{temp_bot_msg}
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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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demo = gr.Interface(
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fn=chatbot_response,
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inputs=gr.Textbox(lines=2, placeholder="Type your message here..."),
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outputs=gr.HTML(),
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title="🟢 LMS Chatbot",
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description="Ask anything about your LMS. Automatic reply with chat bubbles!"
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)
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if __name__ == "__main__":
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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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# Keep conversation history
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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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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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"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>
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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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# Gradio interface
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demo = gr.Interface(
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fn=chatbot_response,
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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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