Update app.py
Browse files
app.py
CHANGED
@@ -67,7 +67,7 @@ def generate_response(user_query, relevant_segment):
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Generate a response emphasizing the bot's capability in providing chess information.
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"""
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try:
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user_message = f"Here's the information on
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# Append user's message to messages list
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messages.append({"role": "user", "content": user_message})
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@@ -99,29 +99,41 @@ def query_model(question):
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Process a question, find relevant information, and generate a response.
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"""
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if question == "":
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return "Welcome to
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relevant_segment = find_relevant_segment(question, segments)
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if not relevant_segment:
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return "Could not find specific information. Please refine your question."
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response = generate_response(question, relevant_segment)
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return response
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# Define the welcome message and specific topics the chatbot can provide information about
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welcome_message = """
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# ♟️ Welcome to
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## Your AI-driven assistant for
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"""
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topics = """
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### Feel Free to ask me anything from the topics below!
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"""
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# Setup the Gradio Blocks interface with custom layout components
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@@ -133,7 +145,7 @@ with gr.Blocks(theme='JohnSmith9982/small_and_pretty') as demo:
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with gr.Row():
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with gr.Column():
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question = gr.Textbox(label="Your question", placeholder="What do you want to ask about?")
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answer = gr.Textbox(label="
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submit_button = gr.Button("Submit")
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submit_button.click(fn=query_model, inputs=question, outputs=answer)
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Generate a response emphasizing the bot's capability in providing chess information.
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"""
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try:
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user_message = f"Here's the information on your request: {relevant_segment}"
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# Append user's message to messages list
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messages.append({"role": "user", "content": user_message})
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Process a question, find relevant information, and generate a response.
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"""
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if question == "":
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return "Welcome to CalmConnect! Ask me anything about destressing strategies or student opportunities. Feel free to talk to our online therapist!"
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relevant_segment = find_relevant_segment(question, segments)
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if not relevant_segment:
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return "Could not find specific information. Please refine your question or head to our resources page."
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response = generate_response(question, relevant_segment)
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return response
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# Define the welcome message and specific topics the chatbot can provide information about
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welcome_message = """
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# ♟️ Welcome to CalmConnect!
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## Your AI-driven assistant for destressing and extracurricular queries. Created by Olivia W, Alice T, and Cindy W of the 2024 Kode With Klossy CITY Camp.
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"""
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topics = """
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### Feel Free to ask me anything from the topics below!
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- Arts and Crafts
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- Destressing strategies
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### Ask about the following extracurricular opportunity topics below
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- Engineering
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- Tech/Computer Science
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- Research : STEM
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- Finance
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- Law / Political Science / Debate
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- The Arts
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- Business / Leadership
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- Pyschology
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- Medicine / Biology
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- Literature / Writing
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- College Prep
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- Advocacy: Environment or Identity
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- Study Abroad
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- General (unsure of what you want to do)
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"""
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# Setup the Gradio Blocks interface with custom layout components
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with gr.Row():
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with gr.Column():
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question = gr.Textbox(label="Your question", placeholder="What do you want to ask about?")
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answer = gr.Textbox(label="CalmConnect Response", placeholder="CalmConnect will respond here...", interactive=False, lines=10)
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submit_button = gr.Button("Submit")
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submit_button.click(fn=query_model, inputs=question, outputs=answer)
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