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app.py

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+import streamlit as st
+import os
+from dotenv import load_dotenv
+from deep_translator import GoogleTranslator
+from gtts import gTTS
+import base64
+import tempfile
+import google.generativeai as genai
+import uuid
+import speech_recognition as sr
+
+# Load environment variables
+load_dotenv()
+genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
+model = genai.GenerativeModel("gemini-1.5-flash")
+
+st.set_page_config(page_title="LearnMate - AI Buddy", page_icon="📚")
+st.title("🎓 LearnMate - AI Learning Companion")
+
+# Sidebar: Enhanced Sidebar with Goals and Tasks
+st.sidebar.title("📌 LearnMate Dashboard")
+
+# Learning Goals Section
+st.sidebar.subheader("🎯 Your Learning Goals")
+learning_goal = st.sidebar.text_input("Add a Goal")
+if st.sidebar.button("➕ Add Goal") and learning_goal:
+    if "goals" not in st.session_state:
+        st.session_state.goals = []
+    st.session_state.goals.append(learning_goal)
+
+if "goals" in st.session_state:
+    for goal in st.session_state.goals:
+        st.sidebar.markdown(f"✅ {goal}")
+
+# Project Tracker
+st.sidebar.subheader("📋😎Task Tracker")
+if "todo" not in st.session_state:
+    st.session_state.todo = []
+if "done" not in st.session_state:
+    st.session_state.done = []
+
+new_task = st.sidebar.text_input("🆕👉 New Task")
+if st.sidebar.button("📌🎯 Add Task") and new_task:
+    st.session_state.todo.append(new_task)
+
+for i, task in enumerate(st.session_state.todo):
+    if st.sidebar.checkbox(f"⬜ {task}", key=f"todo_{i}_{task}"):
+        st.session_state.todo.remove(task)
+        st.session_state.done.append(task)
+
+st.sidebar.subheader("✅🙌Task Completed")
+for i, task in enumerate(st.session_state.done):
+    st.sidebar.checkbox(f"✔️ {task}", value=True, disabled=True, key=f"done_{i}_{task}")
+
+# Translation helper
+
+def safe_translate(text, lang):
+    max_len = 500
+    chunks = [text[i:i+max_len] for i in range(0, len(text), max_len)]
+    return " ".join([GoogleTranslator(source='auto', target=lang).translate(chunk) for chunk in chunks])
+
+# Tabs
+
+TABS = st.tabs(["📘 Learning Path", "💬 Study Twin", "🧪 Quiz Generator", "🎧 Audio Summary", "🌐 Regional Buddy"])
+
+# ------------------------ 📘 Learning Path ------------------------# 
+with TABS[0]:
+    st.header("📘 Build Your Learning Roadmap")
+    
+    lang = st.selectbox("🌐 Language", ["english", "hindi", "tamil", "telugu"])
+    knowledge = st.text_area("🧠 Your Current Knowledge")
+    goal = st.text_area("🎯 Learning Goal")
+    style = st.selectbox("🧩 Learning Style", ["Visual", "Reading", "Hands-on", "Mixed"])
+
+    if st.button("🚀 Generate Plan"):
+        with st.spinner("🧠 Crafting your custom roadmap..."):
+            prompt = f"""
+            You are LearnMate, an expert AI tutor.
+            The user has the following:
+            - Current knowledge: {knowledge}
+            - Goal: {goal}
+            - Preferred learning style: {style}
+
+            Please generate a full markdown learning roadmap that includes:
+            1. 📘 Stage-by-stage steps with estimated timelines.
+            2. 🎨 Visual-style flow or layout described in text if user chose 'Visual'.
+            3. 📺 Three **specific YouTube videos** including titles and real video **hyperlinks**.
+            4. 📚 Recommended resources, tools or tutorials related to the goal.
+            5. 🧠 Personalized study tips matching the selected learning style.
+
+            Format all sections clearly with markdown headers (##) and bullet points.
+            Example for video: [How Neural Networks Learn](https://www.youtube.com/watch?v=aircAruvnKk)
+            Do NOT return video titles without links.
+            """
+
+            response = model.generate_content(prompt)
+            plan = response.text
+
+            # Translate if needed
+            if lang != "english":
+                plan = safe_translate(plan, lang)
+
+            st.markdown("### 📜 Your Learning Plan")
+            st.markdown(plan)
+
+            # Enable download
+            st.download_button(
+                label="⬇️ Download Plan as .txt",
+                data=plan,
+                file_name="learning_plan.txt",
+                mime="text/plain"
+            )
+
+            st.markdown("---")
+            st.success("✅ Video links are now clickable. Save this roadmap and start learning!")
+# ------------------------ 💬 Study Twin ------------------------
+# ------------------------ 💬 Study Twin ------------------------
+with TABS[1]:
+    st.header("💬 AI Study Twin👯")
+    if "study_step" not in st.session_state:
+        st.session_state.study_step = 1
+    if "chat_history" not in st.session_state:
+        st.session_state.chat_history = []
+
+    if st.session_state.study_step == 1:
+        st.write("Let's get started ✨")
+        st.session_state.study_topic = st.text_input("📘 What topic are you studying?")
+        st.session_state.confidence_level = st.slider("Confidence (0-10)", 0, 10)
+        if st.button("➡️ Continue"):
+            st.session_state.study_step = 2
+
+    elif st.session_state.study_step == 2:
+        topic = st.session_state.study_topic
+        score = st.session_state.confidence_level
+        prompt = f"User is studying: {topic}, confidence: {score}/10. Suggest action plan, style-based activities & encouragement."
+        reply = model.generate_content(prompt).text
+        st.markdown("### 🎯 Suggestion")
+        st.markdown(reply)
+        if st.button("💬 Ask a Question🌟"):
+            st.session_state.study_step = 3
+
+    elif st.session_state.study_step == 3:
+        st.subheader("🤖 Chat with Your Twin")
+        user_msg = st.text_input("You:", key="twin_input")
+        if st.button("📨 Send"):
+            chat = model.start_chat(history=st.session_state.chat_history)
+            reply = chat.send_message(user_msg)
+            st.session_state.chat_history.append({"role": "user", "parts": [user_msg]})
+            st.session_state.chat_history.append({"role": "model", "parts": [reply.text]})
+
+        for msg in st.session_state.chat_history:
+            role = "🧑 You" if msg["role"] == "user" else "🤖 Twin"
+            st.markdown(f"**{role}:** {msg['parts'][0]}")
+# ------------------------ 🧪 Quiz Generator ------------------------
+with TABS[2]:
+    st.header("🧪 Test Yourself!")
+
+    topic = st.text_input("📘 Enter a topic to quiz yourself:")
+    if st.button("🎯 Generate Quiz"):
+        prompt = f"""
+        You are a quiz master.
+        Generate 5 multiple choice questions (MCQs) for the topic: {topic}.
+        Each question must include:
+        - Question
+        - Four options (a, b, c, d)
+        - Correct answer line: Answer: x)
+        Format:
+        Q: [question]
+        a) ...
+        b) ...
+        c) ...
+        d) ...
+        Answer: x)
+        """
+        quiz_text = model.generate_content(prompt).text
+        st.session_state.quiz_data = quiz_text.strip().split("\n\n")
+        st.session_state.full_quiz_text = quiz_text
+
+    if "quiz_data" in st.session_state:
+        st.markdown("### 📝 Your Quiz")
+        for i, q_block in enumerate(st.session_state.quiz_data):
+            lines = q_block.strip().split("\n")
+            q_line = next((l for l in lines if l.strip().lower().startswith("q:")), None)
+            opts = [line for line in lines if line.strip()[:2] in ["a)", "b)", "c)", "d)"]]
+            ans_line = next((l for l in lines if "Answer:" in l), None)
+
+            if not (q_line and opts and ans_line):
+                st.warning(f"❌ Skipping malformed Q{i+1}")
+                continue
+
+            correct = ans_line.split(":")[-1].strip().lower()
+            selected = st.radio(f"Q{i+1}: {q_line[2:].strip()}", opts, key=f"quiz_{i}")
+
+            if st.button(f"✔️ Check Q{i+1}", key=f"btn_{i}"):
+                if selected.lower().startswith(correct):
+                    st.success("✅ Correct!")
+                else:
+                    st.error(f"❌ Wrong. Correct answer is: {correct}")
+
+        # Download full quiz
+        st.markdown("---")
+        st.download_button("⬇️ Download Full Quiz (.txt)", st.session_state.full_quiz_text, file_name="quiz.txt")
+# ------------------------ 🎧 Audio Summary ------------------------
+with TABS[3]:
+    st.header("🎧 Audio Summary")
+    text = st.text_area("Enter content:")
+    if st.button("🔊 Generate Audio"):
+        tts = gTTS(text)
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as fp:
+            tts.save(fp.name)
+            with open(fp.name, "rb") as f:
+                audio_data = f.read()
+                b64 = base64.b64encode(audio_data).decode()
+                st.audio(f"data:audio/mp3;base64,{b64}", format='audio/mp3')
+                st.download_button("⬇️ Download Audio", audio_data, file_name="audio_summary.mp3")
+
+# ------------------------ 🌐 Regional Buddy ------------------------
+with TABS[4]:
+    st.header("🌐 Speak in Your Language")
+    lang = st.selectbox("Choose Language", ["hindi", "tamil", "telugu"])
+    msg = st.text_area("Type your message:")
+    if st.button("🔁 Translate"):
+        try:
+            translated = GoogleTranslator(source="en", target=lang).translate(msg)
+            st.success(f"Translated ({lang.upper()}): {translated}")
+        except Exception as e:
+            st.error(f"Error: {e}")

requirements.txt

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+streamlit
+google-generativeai
+gtts
+SpeechRecognition
+pydub
+python-dotenv
+deep-translator