Update app.py

app.py

@@ -1,70 +1,66 @@
+# app.py
 import gradio as gr
-from huggingface_hub import InferenceClient
 
+SUBJECTS = ["Mathematics", "English", "Kiswahili", "Physics", "Chemistry", "Biology", "Islamic Studies"]
 
-def respond(
-    message,
-    history: list[dict[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    hf_token: gr.OAuthToken,
-):
-    """
-    For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-    """
-    client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b")
+WELCOME_MD = """
+# Elimuhub Tutor 🤝
+**Elimuhub Education Consultants** — Quick demo tutor (mobile friendly).
+Contact: +254 731-838-387• elimuhubconsultant@gmail.com
 
-    messages = [{"role": "system", "content": system_message}]
-
-    messages.extend(history)
-
-    messages.append({"role": "user", "content": message})
+Type your question below or try quick commands:
+- Say "generate quiz: subject, level, n" e.g., `generate quiz: math, KCSE, 3`
+- Ask: "How do I solve quadratic equations?"
+"""
 
-    response = ""
+def generate_quiz(subject="General", level="Any", n=3):
+    qlist = []
+    for i in range(1, n+1):
+        qlist.append(f"{i}. Sample {level} {subject} question #{i}?")
+    return "\n".join(qlist)
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        choices = message.choices
-        token = ""
-        if len(choices) and choices[0].delta.content:
-            token = choices[0].delta.content
+def respond(user_message, history):
+    if history is None:
+        history = []
+    msg = (user_message or "").strip()
+    if not msg:
+        return history, ""
+    low = msg.lower()
 
-        response += token
-        yield response
+    if any(greet in low for greet in ["hi", "hello", "hey", "salaam", "assalamu"]):
+        bot = "Hello! 👋 I'm Elimuhub's demo tutor. Tell me the subject and topic (e.g., 'math algebra')."
+    elif low.startswith("generate quiz:"):
+        try:
+            rest = low.split("generate quiz:",1)[1].strip()
+            parts = [p.strip() for p in rest.split(",")]
+            subj = parts[0].title() if len(parts) > 0 and parts[0] else "General"
+            level = parts[1].upper() if len(parts) > 1 and parts[1] else "Any"
+            num = int(parts[2]) if len(parts) > 2 and parts[2].isdigit() else 3
+        except Exception:
+            subj, level, num = "General", "Any", 3
+        bot = generate_quiz(subj, level, num)
+    elif any(s.lower() in low for s in SUBJECTS):
+        bot = ("Great — you asked about a subject I recognize. "
+               "Please give the specific topic (e.g., algebra, verb tenses), and I'll give step-by-step help.")
+    elif "kcse" in low or "kcpe" in low or "igcse" in low or "ib" in low:
+        bot = "I can give exam-style tips and sample questions. Tell me the subject and the topic."
+    else:
+        # simple demo answer: echo plus tips
+        bot = ("Thanks — here's a quick answer guide:\n\n"
+               f"> You asked: {user_message}\n\n"
+               "I'm a demo assistant. For clearer help, say the subject and topic (e.g., 'math: quadratic formula').")
 
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-chatbot = gr.ChatInterface(
-    respond,
-    type="messages",
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, 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 (nucleus sampling)",
-        ),
-    ],
-)
+    history.append((user_message, bot))
+    return history, ""
 
 with gr.Blocks() as demo:
-    with gr.Sidebar():
-        gr.LoginButton()
-    chatbot.render()
-
+    gr.Markdown(WELCOME_MD)
+    chatbot = gr.Chatbot(elem_id="chatbot", label="Elimuhub Tutor")
+    with gr.Row():
+        txt = gr.Textbox(show_label=False, placeholder="Type your question here and press Enter...")
+        send = gr.Button("Send")
+    send.click(respond, inputs=[txt, chatbot], outputs=[chatbot, txt])
+    txt.submit(respond, inputs=[txt, chatbot], outputs=[chatbot, txt])
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()