Update app.py

app.py

@@ -1,71 +1,176 @@
+import os
+import gradio as gr
+import requests
+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()
+
+        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])  # just a few results
+        else:
+            return "No useful information found."
+    except Exception as e:
+        return f"Search error: {e}"
+
+# 🧠 Memory setup
+HF_TOKEN = os.getenv("HF_TOKEN")
+MEMORY_FILE = "memory.json"
+
+def load_memory():
+    if os.path.exists(MEMORY_FILE):
+        with open(MEMORY_FILE, "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
+def chat_with_model(message, history, context, file_input=None):
+    if not isinstance(history, list):
+        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
+
+    # 📂 If file is uploaded
+    if file_input:
+        file_name = file_input.name
+        message += f"\n\n📎 (User uploaded a file named '{file_name}')"
+
+    # 🧠 Build conversation
+    conversation = [
+        {"role": "system", "content": (
+            "You are EduAI, a multilingual educational AI assistant created by a Sri Lankan student named Wafa Fazly. "
+            "When solving math, explain step-by-step like a professional tutor. "
+            "Use Markdown and LaTeX formatting for equations (use \\[ and \\]). "
+            "Keep answers neat, structured, and student-friendly."
+        )}
+    ]
+
+    for past_user, past_bot in history[-5:]:
+        conversation.append({"role": "user", "content": past_user})
+        conversation.append({"role": "assistant", "content": past_bot})
+
+    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": "deepseek-ai/DeepSeek-V3.2-Exp:novita",
+                "messages": conversation
+            }
+        )
+
+        data = response.json()
         reply = data["choices"][0]["message"]["content"]
-        reply = reply.replace("Step", "➡️ Step")  # Optional formatting
+
+        # 🧮 Clean up math formatting
+        reply = reply.replace("Step", "\n\n**Step")
+        reply = reply.replace(":", ":**")
+        reply = reply.replace("\\[", "\n\n\\[")
+        reply = reply.replace("\\]", "\\]\n\n")
+
+        # ✅ Add Markdown + LaTeX support
+        if "\\" in reply or "log_" in reply or "^" in reply:
+            reply = f"{reply}"
+
+        history.append((message, reply))
+        save_memory(history)
+        return history, history
+
     except Exception as e:
-        reply = f"⚠️ Error: {str(e)}"
-
-    history.append({"role": "user", "content": message})
-    history.append({"role": "assistant", "content": reply})
-
-    save_memory(history)
-    return history, history
-
-
-# ----------------
-# Greeting Function
-# ----------------
-def eduai_greeting():
-    return [{"role": "assistant", "content": "👋 Hey there! I'm **EduAI**, your smart study assistant. How can I help you today?"}]
-
-
-# ----------------
-# UI Components
-# ----------------
-with gr.Blocks(theme=gr.themes.Soft(primary_hue="indigo")) as demo:
-    gr.Markdown(
-        """
-        <h1 style="text-align:center; color:#4C1D95;">✨ EduAI — Your Personal Study Assistant ✨</h1>
-        <p style="text-align:center;">Ask me about <b>Science, Math, IT, AI, or Languages</b> — I’ll explain everything step-by-step!</p>
-        """
-    )
-
-    chatbot = gr.Chatbot(
-        label="EduAI Chat",
-        height=450,
-        bubble_full_width=False,
-        avatar_images=("https://cdn-icons-png.flaticon.com/512/4712/4712104.png", None)
-    )
-
-    context_input = gr.Textbox(
-        label="🔧 Context (Optional)",
-        placeholder="Add custom instructions for EduAI (e.g., 'Explain like I’m 16 years old')",
-        lines=2
-    )
-
-    msg = gr.Textbox(
-        label="💬 Type your question",
-        placeholder="Ask me anything...",
-    )
-
-    clear_btn = gr.Button("🧹 Clear Chat", variant="secondary")
-
-    # ----------------
-    # Logic Connections
-    # ----------------
-    msg.submit(
-        chat_with_model,
-        [msg, chatbot, context_input],
-        [chatbot, chatbot]
-    )
-
-    msg.submit(lambda: "", None, msg)
-
-    clear_btn.click(lambda: ([], []), None, [chatbot, chatbot])
-
-    demo.load(eduai_greeting, None, chatbot)
-
-
-# ----------------
-# Run App
-# ----------------
-if __name__ == "__main__":
-    demo.launch()
+        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."
+
+# 🎨 Gradio Interface
+with gr.Blocks(theme=gr.themes.Soft(primary_hue="violet")) as iface:
+    gr.Markdown("# 🎓 **EduAI — Your Smart Study Companion**")
+
+    with gr.Row():
+        with gr.Column(scale=1, min_width=230):
+            gr.Markdown("### 🧭 **Main Menu**")
+
+            with gr.Accordion("📚 Subject Tutor", open=False):
+                subj = gr.Radio(
+                    ["Science 🧪", "ICT 💻", "English 📘", "Mathematics ➗"],
+                    label="Choose a subject"
+                )
+
+            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 – developed and fine-tuned by **Wafa Fazly** using a pre-trained AI model,  
+                to help learners understand **Science, ICT, English, and more** —  
+                in a simple 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",
+                height=450,
+                render_markdown=True,
+                latex_delimiters=[{"left": "$$", "right": "$$", "display": True}, {"left": "\\[", "right": "\\]", "display": True}]
+            )
+            msg = gr.Textbox(label="Ask EduAI:")
+            send = gr.Button("Send ✈️")
+
+    # 🪄 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.click(chat_with_model, inputs=[msg, chatbot, context_display, file_input], outputs=[chatbot, chatbot])
+    clear_btn.click(clear_memory, outputs=[chatbot, context_display])
+
+iface.launch()