Update app.py

app.py

@@ -1,255 +1,79 @@
-import os
 import gradio as gr
-import requests
+from transformers import pipeline
+from huggingface_hub import InferenceClient
+import os
 import json
 
-# 🌍 Web search function
-def search_web(query):
-    try:
-        url = "https://api.duckduckgo.com/"
-        params = {"q": query, "format": "json", "no_html": 1, "skip_disambig": 1}
-        response = requests.get(url, params=params)
-        data = response.json()
+# Initialize Hugging Face Inference Client
+client = InferenceClient(api_key="your_huggingface_api_key_here")
+
+# 🎯 Study-only question filter
+def is_study_related(question):
+    educational_keywords = [
+        "math", "science", "ict", "english", "chemistry", "physics", "biology",
+        "grammar", "essay", "study", "lesson", "equation", "formula", "computer",
+        "programming", "AI", "machine learning", "technology", "education",
+        "subject", "exam", "revision", "teacher", "learning", "school", "topic"
+    ]
 
-        if data.get("AbstractText"):
-            return data["AbstractText"]
-        elif data.get("RelatedTopics"):
-            topics = [t.get("Text", "") for t in data["RelatedTopics"] if "Text" in t]
-            return " ".join(topics[:3])
-        else:
-            return "No useful information found."
-    except Exception as e:
-        return f"Search error: {e}"
+    for word in educational_keywords:
+        if word.lower() in question.lower():
+            return True
+    return False
 
-# 🧠 Memory setup
-HF_TOKEN = os.getenv("HF_TOKEN")
-MEMORY_FILE = "memory.json"
+# Memory save/load
+def save_memory(history):
+    with open("chat_memory.json", "w") as f:
+        json.dump(history, f)
 
 def load_memory():
-    if os.path.exists(MEMORY_FILE):
-        with open(MEMORY_FILE, "r") as f:
+    if os.path.exists("chat_memory.json"):
+        with open("chat_memory.json", "r") as f:
             return json.load(f)
     return []
 
-def save_memory(memory):
-    with open(MEMORY_FILE, "w") as f:
-        json.dump(memory, f)
-
-memory = load_memory()
-
-# -----------------------
-# Chat function (original behavior)
-# returns (history, history) to match previous usage
-# -----------------------
-def chat_with_model(message, history, context):
-    if not isinstance(history, list):
-        history = []
-
-    # prevent empty messages
+# Chat logic
+def chat_with_model(message, history):
     if not message:
         return history, history
 
-    # 🌍 Web search mode
-    if message.lower().startswith("search "):
-        query = message[7:]
-        search_result = search_web(query)
-        history.append((message, f"🔎 Here's what I found online:\n\n{search_result}"))
-        save_memory(history)
-        return history, history
-
-    # 🧠 Build conversation
-    conversation = [{"role": "system", "content": (
-    "You are EduAI — an educational AI assistant created by Wafa Fazly "
-    "from Fathima Muslim Ladies College. "
-    "You help students learn subjects such as Math, Science, English, and IT. "
-    "EduAI runs on the model 'openai/gpt-oss-safeguard-20b:groq', which was originally "
-    "trained by OpenAI. Always answer truthfully when asked about your creation."
-    "never chat unnecessary conversations, and don't talk anything apart from education"
-    )}]
-
-    # convert tuples to messages if necessary (keeps old history format)
-    for past in history[-5:]:
-        # expect (user_message, bot_reply)
-        if isinstance(past, tuple) and len(past) == 2:
-            conversation.append({"role": "user", "content": past[0]})
-            conversation.append({"role": "assistant", "content": past[1]})
-        elif isinstance(past, dict):
-            conversation.append(past)
-
-    conversation.append({"role": "user", "content": message})
-
-    # 🚀 Send to Hugging Face model
-    try:
-        response = requests.post(
-            "https://router.huggingface.co/v1/chat/completions",
-            headers={
-                "Authorization": f"Bearer {HF_TOKEN}",
-                "Content-Type": "application/json"
-            },
-            json={
-                "model": "openai/gpt-oss-safeguard-20b:groq",
-                "messages": conversation
-            },
-            timeout=60
-        )
-
-        data = response.json()
-        reply = data["choices"][0]["message"]["content"]
-
-        # 🧮 Clean up math formatting (keeps your original formatting code)
-        reply = reply.replace("Step", "\n\n**Step")
-        reply = reply.replace(":", ":**")
-        reply = reply.replace("\\[", "\n\n\\[")
-        reply = reply.replace("\\]", "\\]\n\n")
-
-        if "\\" in reply or "log_" in reply or "^" in reply:
-            reply = f"{reply}"
-
+    # 🚫 Block unnecessary/off-topic questions
+    if not is_study_related(message):
+        reply = "🚫 I'm sorry, but I can only answer study-related questions. Let's focus on learning!"
         history.append((message, reply))
         save_memory(history)
-        # IMPORTANT: return a pair (history, history) because other code expects two outputs
         return history, history
 
-    except Exception as e:
-        print("Error:", e)
-        history.append((message, "😅 EduAI is having trouble connecting right now. Please try again later!"))
-        return history, history
-
-# 📘 Sidebar context update
-def update_context(choice):
-    if not choice:
-        return "📘 **You are in General Mode.** Ask EduAI anything about your studies!"
-    return f"📘 **You selected {choice} mode.** Ask anything related to this topic!"
-
-# 🧹 Clear chat memory
-def clear_memory():
-    if os.path.exists(MEMORY_FILE):
-        os.remove(MEMORY_FILE)
-    return [], "🧹 Chat memory cleared! Start fresh."
-
-# -----------------------
-# Pause / Send wrappers (FIXED)
-# -----------------------
-
-# send handler that respects paused state (ALWAYS returns (chat_history, textbox_clear))
-def send_handler(message, history, context, paused_state):
-    if paused_state:
-        # Do not call the model when paused — append a friendly hint
-        if not isinstance(history, list):
-            history = []
-        history.append((None, "⏸️ Chat is paused. Click Resume to continue."))
-        return history, ""  # update chatbot and clear textbox
-    # Not paused: call original chat handler and adapt its returns to (chat_history, textbox_clear)
-    hist_pair = chat_with_model(message, history, context)  # returns (history, history)
-    # unpack safely
-    if isinstance(hist_pair, tuple) and len(hist_pair) == 2:
-        hist = hist_pair[0]
-    else:
-        hist = hist_pair
-    return hist, ""
-
-
-# toggle pause/resume and update UI (state + chat + button text + send button disabled)
-def toggle_pause(paused_state, history):
-    new_state = not bool(paused_state)
-    if not isinstance(history, list):
-        history = []
-
-    if new_state:
-        # now paused
-        history.append((None, "⏸️ Chat paused. Send is disabled."))
-        pause_btn_update = gr.Button.update(value="▶ Resume")
-        send_btn_update = gr.Button.update(disabled=True)
-    else:
-        # resumed
-        history.append((None, "▶️ Chat resumed. You can send messages now."))
-        pause_btn_update = gr.Button.update(value="⏸ Pause")
-        send_btn_update = gr.Button.update(disabled=False)
-
-    # return new pause state, updated chat history, and two UI updates (pause button & send button)
-    return new_state, history, pause_btn_update, send_btn_update
+    # Append user message to history
+    history.append((message, ""))
+    save_memory(history)
 
-# -----------------------
-# Build UI (unchanged layout; pause added)
-# -----------------------
-with gr.Blocks(theme=gr.themes.Soft(primary_hue="violet")) as iface:
-    gr.Markdown(
-        """
-        # 🎓 **EduAI — Your Smart Study Companion**
-        Welcome to **EduAI**, your friendly study assistant! 💬  
-        Get help in **Science, ICT, English, Mathematics**, and more.  
-        """
+    # Generate AI response
+    response = client.text_generation(
+        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
+        prompt=message,
+        max_new_tokens=300,
+        temperature=0.7
     )
 
-    with gr.Row():
-        with gr.Column(scale=1, min_width=230):
-            gr.Markdown("### 🧭 **Main Menu**")
+    reply = response
+    history[-1] = (message, reply)
+    save_memory(history)
 
-            with gr.Accordion("📚 Subject Tutor", open=False):
-                subj = gr.Radio(
-                    ["Science 🧪", "ICT 💻", "English 📘", "Mathematics ➗"],
-                    label="Choose a subject"
-                )
+    return history, history
 
-            with gr.Accordion("🗓 Study Planner", open=False):
-                planner = gr.Radio(
-                    ["View Plan 📅", "Add Task ✏️", "Study Tips 💡"],
-                    label="Planner Options"
-                )
-
-            with gr.Accordion("🌐 Languages", open=False):
-                lang = gr.Radio(
-                    ["Learn Sinhala 🇱🇰", "Learn Tamil 🇮🇳", "Learn English 🇬🇧", "Learn Spanish 🇪🇸"],
-                    label="Language Options"
-                )
-
-            with gr.Accordion("⚙️ Settings", open=False):
-                clear_btn = gr.Button("🧹 Clear Memory")
-
-            with gr.Accordion("👩‍🎓 About", open=False):
-                gr.Markdown(
-                    """
-                    EduAI was designed and fine-tuned by **Wafa Fazly**,  
-                    a passionate Sri Lankan student 👩‍💻  
-                    to help learners explore **Science, ICT, English, and more** —  
-                    in a smart and friendly way! 🌟
-                    """
-                )
-
-        with gr.Column(scale=4):
-            context_display = gr.Markdown("📘 **You are in General Mode.** Ask EduAI anything about your studies!")
-            chatbot = gr.Chatbot(
-                label="💬 EduAI Chat Window",
-                height=450,
-                render_markdown=True,
-                bubble_full_width=False,
-                latex_delimiters=[
-                    {"left": "$$", "right": "$$", "display": True},
-                    {"left": "\\[", "right": "\\]", "display": True}
-                ]
-            )
-            msg = gr.Textbox(
-                label="💭 Type your question here...",
-                placeholder="Ask EduAI anything about your studies..."
-            )
-
-            with gr.Row():
-                send = gr.Button("✨ Send Message")
-                pause = gr.Button("⏸ Pause", variant="secondary")
-                # state to keep track of pause (False = running, True = paused)
-                pause_state = gr.State(False)
-
-    # 🪄 Event handlers
-    subj.change(update_context, inputs=subj, outputs=context_display)
-    planner.change(update_context, inputs=planner, outputs=context_display)
-    lang.change(update_context, inputs=lang, outputs=context_display)
-
-    # send now uses send_handler and respects pause_state; outputs: chatbot and clears textbox
-    send.click(send_handler, inputs=[msg, chatbot, context_display, pause_state], outputs=[chatbot, msg])
+# Load existing memory
+memory = load_memory()
 
-    clear_btn.click(clear_memory, outputs=[chatbot, context_display])
+# Interface
+with gr.Blocks(theme="soft") as demo:
+    gr.Markdown("## 🤖 EduAI — Where Curiosity Meets Knowledge")
+    chatbot = gr.Chatbot(label="EduAI Learning Assistant", value=memory)
+    msg = gr.Textbox(label="Ask EduAI a study question...")
+    clear = gr.Button("Clear Chat")
 
-    # pause toggles pause_state, updates chatbot with a message, updates pause button label and disables/enables send
-    pause.click(toggle_pause, inputs=[pause_state, chatbot], outputs=[pause_state, chatbot, pause, send])
+    msg.submit(chat_with_model, [msg, chatbot], [chatbot, chatbot])
+    clear.click(lambda: [], None, chatbot)
 
-iface.launch()
+# Launch app
+demo.launch()