app.py

import gradio as gr
import os
from huggingface_hub import InferenceClient

# Safely get HF API Token
HF_TOKEN = os.environ.get("HF_API_TOKEN")
if not HF_TOKEN:
    raise ValueError("Missing Hugging Face API token. Please set 'HF_API_TOKEN' in your environment.")

# Connect to Hugging Face model
client = InferenceClient(
    model="HuggingFaceH4/zephyr-7b-beta",
    token=HF_TOKEN
)

# Q&A pairs about Resilient Coders
rc_qa_examples = [
    ("What is Resilient Coders?", "Resilient Coders is a free, stipended, full-time coding bootcamp that trains people of color for careers in tech. The program is fully remote and includes a $500 bi-weekly stipend."),
    ("Is the bootcamp really free?", "Yes! The program is completely free. Participants are also paid a bi-weekly stipend. There is no repayment required."),
    ("How long is the program?", "The bootcamp typically runs for 18 to 20 weeks."),
    ("Do I need to know how to code before applying?", "No prior experience is required. We teach you from scratch."),
    ("Is your program online or in-person?", "The program is 100% remote."),
    ("What technical skills are taught?", "We teach HTML, CSS, JavaScript, React, Node.js, MongoDB, Git, and more."),
    ("What soft skills are included?", "We focus heavily on communication, public speaking, teamwork, and job readiness."),
    ("Who is eligible to apply?", "Applicants should be 18–35 years old, low-income, and located in Greater Boston, Philadelphia, Maine, or nearby states. Must be eligible to work in the U.S. and not hold advanced post-secondary degrees."),
    ("What is the stipend amount?", "Accepted students receive $500 every two weeks during the program."),
    ("When does the next cohort start?", "The next cohort runs from August 11, 2025, to December 12, 2025."),
    ("When is the application deadline?", "Applications for Fall 2025 are not open yet. Submit an interest form to get notified."),
    ("How do I apply?", "Step 1: Watch our free intro class. Step 2: Submit your application. Step 3: Attend a hackathon if invited. Step 4: Interview. Step 5: Onboard."),
    ("What happens after I apply?", "You'll receive a confirmation email. If eligible, you’ll be invited to a virtual hackathon. If you don’t hear back within 7–10 business days, email recruiting@resilientcoders.org."),
    ("Do I have to attend a hackathon?", "Yes. Attending a virtual hackathon is required to move forward in the application process."),
    ("Can I work while enrolled?", "The bootcamp is intensive and full-time. Most participants cannot hold a job during the program."),
    ("What do you look for in candidates?", "We value curiosity, persistence, and collaboration."),
    ("Can older applicants still apply?", "We prioritize applicants aged 18–35, but encourage anyone outside the range to apply. All applications are reviewed case by case."),
    ("Do you help graduates find jobs?", "Yes, but placement is not guaranteed. We support grads with hiring events, job search coaching, and networking."),
    ("What kinds of jobs do alumni get?", "Roles like Software Engineer, Junior Developer, QA Engineer, Technical Support Specialist, and more."),
    ("Where do graduates work?", "Our alumni have been hired at companies like Amazon Audible, Wayfair, Athenahealth, Cargurus, Liberty Mutual, and more."),
    ("What’s the average graduate salary?", "Average salaries range between $81K and $98K, depending on the cohort and location."),
    ("What if I fall behind or don’t meet expectations?", "We call that a 'redirect.' You may be unenrolled from the program and no longer receive the stipend."),
    ("Is there a waitlist or alternative if I don’t get in?", "Yes. If you’re not selected, we encourage you to reapply for the next cohort or explore alternatives like FreeCodeCamp, #100Devs, or Apprenti."),
    ("Are there other programs for people under 18?", "Yes! Check out FutureBOS, The Possible Zone, and other youth-centered programs in your area."),
    ("Can employers partner with Resilient Coders?", "Yes! We’re always seeking hiring partners, sponsors, and volunteer mentors. Contact partnerships@resilientcoders.org."),
    ("Do you accept volunteers?", "Absolutely. We’re looking for mentors, technical interviewers, mock interviewers, and career coaches."),
    ("How can I support the program?", "You can volunteer your time, donate, host a hiring event, or spread the word. Learn more at resilientcoders.org."),
    ("What tools do students use during the program?", "Students work with VS Code, GitHub, Slack, Zoom, Glitch, Remo, and other industry-standard tools."),
    ("Is there a demo day?", "Yes! Each cohort ends with a public demo day where students present their final projects to employers and the community."),
    ("What are Community Hours?", "They are live sessions where students can get support, ask questions, and connect with mentors. Held on Tuesdays and Thursdays from 3:30–6:00 PM EST."),
    ("Resilient Coders Staff Team", "Ayanna Lott‑Pollard — Executive Director. Leon Noel — Managing Director of Engineering. Stephanie Castaños — Managing Director of Strategic Partnerships. Atiya Byrom — Development Associate. Mayra Vega — Recruitment Manager & Community Advocate. Alex Soto — Expert in Residence. Erica Mendez — Expert in Residence"),
    ("What support do students get?", "Daily instruction, mentorship, career coaching, project feedback, and community support."),
]


# Response generator
def respond(message, history, system_message, max_tokens, temperature, top_p):
    messages = [{"role": "system", "content": system_message.strip()}]

    # Add example Q&A pairs to ground the model
    for q, a in rc_qa_examples:
        messages.extend([
            {"role": "user", "content": q},
            {"role": "assistant", "content": a}
        ])

    # Add chat history
    for user_msg, bot_reply in history:
        if user_msg:
            messages.append({"role": "user", "content": user_msg})
        if bot_reply:
            messages.append({"role": "assistant", "content": bot_reply})

    # Add current message
    messages.append({"role": "user", "content": message})

    # Streaming response from Hugging Face
    response = ""
    for chunk in client.chat_completion(
        messages=messages,
        max_tokens=max_tokens,
        temperature=temperature,
        top_p=top_p,
        stream=True
    ):
        delta = chunk.choices[0].delta.content
        if delta:
            response += delta
            yield response

# Optional: Custom CSS
custom_css = """
body, .gradio-container {
    background-color: #fff0f0;
}
h1, h2  {
    font-family: Switzer, sans-serif;
    color:#ed1b24;
    
}

 container{
border:solid 1px #ed1b24;
}


p{color: black;}


"""

# Build the Gradio UI
demo = gr.ChatInterface(
    fn=respond,
    additional_inputs=[
        gr.Textbox(value="You are a helpful assistant trained *only* on verified content from https://www.resilientcoders.org. If a user asks anything not covered by the provided examples, respond with: 'I'm still learning. Please contact hello@resilientcoders.org for more info.' Never speculate or use outside data.", label="System message"),
        gr.Slider(minimum=64, maximum=2048, value=512, step=1, label="Max tokens"),
        gr.Slider(minimum=0.1, maximum=2.0, value=0.7, step=0.1, label="Temperature"),
        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"),
    ],
    title="Resilient Coders FAQ Chatbot",
    description="Ask anything about Resilient Coders bootcamp!",
    css=custom_css
)

if __name__ == "__main__":
    demo.launch()