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Update app.py
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app.py
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@@ -317,27 +317,19 @@ body {
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}
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"""
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# Generate a
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def generate_welcome_message():
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welcome_prompt = """
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1. Introduce the chatbot's purpose clearly
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2. Be empathetic and supportive given the sensitive nature of the topic
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3. Encourage the user to ask questions
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4. Include 1-2 examples of questions they could ask
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5. Use a warm, friendly tone with 1-2 appropriate emojis
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6. Be concise (3-5 sentences)
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Your welcome message:
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"""
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# Get the welcome message from the LLM
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welcome_message = llm.invoke(welcome_prompt).content
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return welcome_message
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# Create
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welcome_msg = generate_welcome_message()
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# Create the Chat Interface with welcome message
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@@ -347,7 +339,6 @@ demo = gr.ChatInterface(
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fill_height=True,
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theme="soft",
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css=custom_css, # Apply the custom CSS
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examples=["What services does Haguruka offer?", "How can I report a case of GBV?"],
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description=welcome_msg
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)
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}
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"""
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# Generate a simple welcome message using the LLM
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def generate_welcome_message():
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welcome_prompt = """
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Create a short, simple welcome message for a chatbot about Gender-Based Violence Resources in Rwanda.
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Keep it under 3 sentences, use simple language, and include one emoji.
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Make it warm and supportive but direct and easy to read.
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"""
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# Get the welcome message from the LLM
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welcome_message = llm.invoke(welcome_prompt).content
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return welcome_message
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# Create simple welcome message
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welcome_msg = generate_welcome_message()
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# Create the Chat Interface with welcome message
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fill_height=True,
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theme="soft",
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css=custom_css, # Apply the custom CSS
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description=welcome_msg
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)
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