Update app.py

app.py

@@ -1,55 +1,94 @@
-
 import gradio as gr
-import os
 import requests
+import os
 
-GROQ_API_KEY = os.getenv("GROQ_API_KEY") or "YOUR_GROQ_API_KEY_HERE"
+# ------------------ GROQ SETTINGS ------------------
+GROQ_API_KEY = os.getenv("GROQ_API_KEY") or "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"
 GROQ_MODEL = "llama3-70b-8192"
 
-# ------------------ GPT QUERY FUNCTION ------------------
 def query_gpt(prompt):
     headers = {
         "Authorization": f"Bearer {GROQ_API_KEY}",
         "Content-Type": "application/json"
     }
-    json_data = {
+    data = {
         "model": GROQ_MODEL,
-        "messages": [
-            {"role": "user", "content": prompt}
-        ]
+        "messages": [{"role": "user", "content": prompt}]
     }
-    response = requests.post("https://api.groq.com/openai/v1/chat/completions", headers=headers, json=json_data)
+    response = requests.post("https://api.groq.com/openai/v1/chat/completions", json=data, headers=headers)
     return response.json()['choices'][0]['message']['content']
 
-# ------------------ TEXTBOOK TUTOR FUNCTION ------------------
-def tutor_from_topic(class_level, subject, chapter, query):
-    prompt = f"You are an intelligent and helpful textbook tutor for Pakistani students. Based on Class {class_level}, Subject {subject}, Chapter {chapter}, answer the following: {query}"
-    return query_gpt(prompt)
-
-# ------------------ FILE HANDLING ------------------
-def extract_text_from_file(file):
-    import PyPDF2
-    import docx
-    text = ""
-    if file.name.endswith(".pdf"):
-        reader = PyPDF2.PdfReader(file)
-        for page in reader.pages:
-            text += page.extract_text()
+# ------------------ SYLLABUS DATA ------------------
+class_subject_chapters = {
+    "9": {
+        "Physics": ["Introduction to Physics", "Kinematics", "Dynamics", "Turning Effect of Forces", "Gravitation", "Work and Energy", "Properties of Matter", "Thermal Properties of Matter", "Transfer of Heat"],
+        "Biology": ["Introduction to Biology", "Solving a Biological Problem", "Biodiversity", "Cells and Tissues", "Cell Cycle", "Enzymes", "Bioenergetics", "Nutrition", "Transport"],
+        "Chemistry": ["Fundamentals of Chemistry", "Structure of Atoms", "Periodic Table", "Structure of Molecules", "Physical States of Matter", "Solutions", "Electrochemistry", "Chemical Reactivity"]
+    },
+    "10": {
+        "Physics": ["Simple Harmonic Motion and Waves", "Sound", "Geometrical Optics", "Electrostatics", "Current Electricity", "Electromagnetism", "Basic Electronics", "Information and Communication Technology", "Atomic and Nuclear Physics"],
+        "Biology": ["Gaseous Exchange", "Homeostasis", "Coordination and Control", "Support and Movement", "Reproduction", "Inheritance", "Man and His Environment", "Biotechnology", "Pharmacology"],
+        "Chemistry": ["Chemical Equilibrium", "Acids, Bases and Salts", "Organic Chemistry", "Hydrocarbons", "Biochemistry", "Environmental Chemistry", "Chemical Industries"]
+    },
+    "11": {
+        "Physics": ["Measurements", "Vectors and Equilibrium", "Motion and Force", "Work and Energy", "Circular Motion", "Fluid Dynamics", "Oscillations", "Waves", "Physical Optics", "Thermodynamics"],
+        "Biology": ["Introduction to Biology", "Biological Molecules", "Enzymes", "The Cell", "Cell Cycle", "Variety of Life", "Kingdom Prokaryotae", "Kingdom Protista", "Kingdom Fungi", "Kingdom Plantae", "Kingdom Animalia"],
+        "Chemistry": ["Basic Concepts", "Experimental Techniques", "Gases", "Liquids and Solids", "Atomic Structure", "Chemical Bonding", "Thermochemistry", "Chemical Equilibrium", "Ionic Equilibrium", "Redox Reactions"]
+    },
+    "12": {
+        "Physics": ["Electrostatics", "Current Electricity", "Electromagnetism", "Electromagnetic Induction", "Alternating Current", "Physics of Solids", "Electronics", "Dawn of Modern Physics", "Atomic Spectra", "Nuclear Physics"],
+        "Biology": ["Homeostasis", "Support and Movement", "Coordination and Control", "Reproduction", "Growth and Development", "Chromosomes and DNA", "Biotechnology", "Evolution", "Ecosystem", "Some Major Ecosystems"],
+        "Chemistry": ["Periodic Classification", "Transition Elements", "Chemical Reactivity", "Alcohols and Phenols", "Aldehydes and Ketones", "Carboxylic Acids", "Amines", "Polymers", "Biochemistry", "Environmental Chemistry"]
+    }
+}
+
+# ------------------ FILE READER ------------------
+def read_uploaded_file(file):
+    if file is None:
+        return ""
+    if file.name.endswith(".txt"):
+        return file.read().decode("utf-8")
+    elif file.name.endswith(".pdf"):
+        from PyPDF2 import PdfReader
+        reader = PdfReader(file)
+        return "\n".join(page.extract_text() for page in reader.pages if page.extract_text())
     elif file.name.endswith(".docx"):
+        import docx
         doc = docx.Document(file)
-        for para in doc.paragraphs:
-            text += para.text + "\n"
+        return "\n".join(p.text for p in doc.paragraphs)
     else:
-        text = file.read().decode("utf-8")
-    return text
-
-def tutor_from_file(file, query):
-    content = extract_text_from_file(file)
-    prompt = f"You are a helpful tutor. Based on the following notes, answer the question: \nNotes:\n{content}\n\nQuestion: {query}"
-    return query_gpt(prompt)
+        return "Unsupported file format. Please upload a PDF, DOCX, or TXT file."
+
+# ------------------ MAIN BOT FUNCTION ------------------
+def tutor_bot(mode, selected_class, selected_subject, selected_chapter, action_type, uploaded_file):
+    if mode == "File Upload Mode" and uploaded_file is not None:
+        file_text = read_uploaded_file(uploaded_file)
+        if not file_text.strip():
+            return "Could not read text from the uploaded file."
+        prompt = f"Based on the following content, {action_type.lower()}: \n\n{file_text[:4000]}"  # keep it under token limits
+        gpt_response = query_gpt(prompt)
+        return gpt_response
+
+    elif mode == "Syllabus Mode":
+        if not selected_class or not selected_subject or not selected_chapter:
+            return "Please select class, subject, and chapter."
+        prompt = f"The user is studying in Class {selected_class}. Give a detailed response for the chapter '{selected_chapter}' in the subject '{selected_subject}'."
+        if action_type == "Summarize Important Points":
+            prompt = f"Summarize the key points of the chapter '{selected_chapter}' from Class {selected_class} {selected_subject}."
+        elif action_type == "Generate MCQs":
+            prompt = f"Create 5 multiple choice questions (MCQs) with 4 options each for the chapter '{selected_chapter}' from Class {selected_class} {selected_subject}."
+        elif action_type == "Simplify Concepts":
+            prompt = f"Explain in very simple terms the important concepts from the chapter '{selected_chapter}' from Class {selected_class} {selected_subject} for a 14-year-old student."
+
+        gpt_response = query_gpt(prompt)
+        search_query = f"{selected_class} {selected_subject} {selected_chapter} in Urdu"
+        youtube_link = f"https://www.youtube.com/results?search_query={search_query.replace(' ', '+')}"
+        gpt_response += f"\n\n🎥 **Watch this topic on YouTube:** [Click here]({youtube_link})"
+        return gpt_response
+
+    return "Invalid mode or missing input."
 
 # ------------------ HANGMAN GAME ------------------
-
 def generate_question_answer(class_level, subject, chapter):
     prompt = f"Give one short quiz question and a one-word answer from the chapter '{chapter}' in Class {class_level} {subject}. Format:\nQuestion: ...\nAnswer: ..."
     result = query_gpt(prompt)
@@ -84,48 +123,78 @@ def guess_letter(letter, answer, current_display, wrong_guesses_left, guessed_le
             return current_display, f"❌ Game over! The correct word was '{answer}'.", wrong_guesses_left, guessed_letters
         return current_display, f"❌ Wrong guess! {wrong_guesses_left} attempts left.", wrong_guesses_left, guessed_letters
 
-# ------------------ UI ------------------
-with gr.Blocks() as app:
-    gr.Markdown("# 📘 AI Textbook Tutor + Study Games")
-
-    with gr.Tabs():
-        with gr.TabItem("📚 Ask Your Tutor"):
-            with gr.Row():
-                class_level = gr.Dropdown(["9", "10", "1st Year", "2nd Year"], label="Class")
-                subject = gr.Textbox(label="Subject")
-                chapter = gr.Textbox(label="Chapter")
-            query = gr.Textbox(label="Your Question")
-            ask_btn = gr.Button("Ask")
-            answer = gr.Textbox(label="Tutor Answer")
-            ask_btn.click(fn=tutor_from_topic, inputs=[class_level, subject, chapter, query], outputs=answer)
-
-        with gr.TabItem("📂 Upload Notes"):
-            file_input = gr.File(label="Upload PDF, DOCX, or TXT")
-            query2 = gr.Textbox(label="Your Question")
-            ask_btn2 = gr.Button("Ask from Notes")
-            answer2 = gr.Textbox(label="Tutor Answer")
-            ask_btn2.click(fn=tutor_from_file, inputs=[file_input, query2], outputs=answer2)
-
-        with gr.TabItem("🎯 Hangman Game"):
-            with gr.Row():
-                class_level_hg = gr.Dropdown(["9", "10", "1st Year", "2nd Year"], label="Class")
-                subject_hg = gr.Textbox(label="Subject")
-                chapter_hg = gr.Textbox(label="Chapter")
-                start_btn = gr.Button("Start Hangman Game")
-            question_display = gr.Textbox(label="Question", interactive=False)
-            word_display = gr.Textbox(label="Word", interactive=False)
-            feedback_display = gr.Textbox(label="Feedback", interactive=False)
-            guess_input = gr.Textbox(label="Guess a letter")
-            guess_btn = gr.Button("Guess")
-
-            wrong_guesses_left = gr.State(6)
-            correct_answer = gr.State("")
-            guessed_letters = gr.State([])
-
-            start_btn.click(fn=start_hangman_game, inputs=[class_level_hg, subject_hg, chapter_hg], outputs=[question_display, word_display, feedback_display, wrong_guesses_left, correct_answer, guessed_letters])
-            guess_btn.click(fn=guess_letter, inputs=[guess_input, correct_answer, word_display, wrong_guesses_left, guessed_letters], outputs=[word_display, feedback_display, wrong_guesses_left, guessed_letters])
+# ------------------ GRADIO UI ------------------
+with gr.Blocks(title="AI Textbook Tutor") as app:
+    with gr.Tab("📘 Tutor"):
+        gr.Markdown("## 📘 AI Textbook Tutor\nChoose a mode to either upload your file or select chapter-wise content to get summaries, MCQs, or simplified explanations.")
+
+        mode = gr.Radio(["Syllabus Mode", "File Upload Mode"], label="Select Mode", value="Syllabus Mode")
+
+        with gr.Row():
+            class_dropdown = gr.Dropdown(label="Class", choices=list(class_subject_chapters.keys()))
+            subject_dropdown = gr.Dropdown(label="Subject")
+            chapter_dropdown = gr.Dropdown(label="Chapter")
+
+        file_input = gr.File(label="Upload File (PDF, DOCX, TXT)", file_types=[".pdf", ".docx", ".txt"])
+        action_dropdown = gr.Radio(["Summarize Important Points", "Generate MCQs", "Simplify Concepts"], label="Task", value="Summarize Important Points")
+
+        run_button = gr.Button("Run Tutor 🧠")
+        output_box = gr.Markdown()
+
+        def update_subjects(selected_class):
+            return gr.update(choices=list(class_subject_chapters[selected_class].keys()), value=None)
+
+        def update_chapters(selected_class, selected_subject):
+            return gr.update(choices=class_subject_chapters[selected_class][selected_subject], value=None)
+
+        def toggle_ui(selected_mode):
+            if selected_mode == "File Upload Mode":
+                return (
+                    gr.update(visible=False),  # Class
+                    gr.update(visible=False),  # Subject
+                    gr.update(visible=False),  # Chapter
+                    gr.update(visible=True)    # File input
+                )
+            else:
+                return (
+                    gr.update(visible=True),
+                    gr.update(visible=True),
+                    gr.update(visible=True),
+                    gr.update(visible=False)
+                )
+
+        class_dropdown.change(update_subjects, inputs=class_dropdown, outputs=subject_dropdown)
+        subject_dropdown.change(update_chapters, inputs=[class_dropdown, subject_dropdown], outputs=chapter_dropdown)
+        mode.change(toggle_ui, inputs=mode, outputs=[class_dropdown, subject_dropdown, chapter_dropdown, file_input])
+
+        run_button.click(
+            tutor_bot,
+            inputs=[mode, class_dropdown, subject_dropdown, chapter_dropdown, action_dropdown, file_input],
+            outputs=output_box
+        )
+
+    with gr.Tab("🎯 Hangman Game"):
+        with gr.Row():
+            class_level_hg = gr.Dropdown(label="Class", choices=list(class_subject_chapters.keys()))
+            subject_hg = gr.Textbox(label="Subject")
+            chapter_hg = gr.Textbox(label="Chapter")
+            start_btn = gr.Button("Start Hangman Game")
+
+        question_display = gr.Textbox(label="Question", interactive=False)
+        word_display = gr.Textbox(label="Word", interactive=False)
+        feedback_display = gr.Textbox(label="Feedback", interactive=False)
+        guess_input = gr.Textbox(label="Guess a letter")
+        guess_btn = gr.Button("Guess")
+
+        wrong_guesses_left = gr.State(6)
+        correct_answer = gr.State("")
+        guessed_letters = gr.State([])
+
+        start_btn.click(fn=start_hangman_game, inputs=[class_level_hg, subject_hg, chapter_hg], outputs=[question_display, word_display, feedback_display, wrong_guesses_left, correct_answer, guessed_letters])
+        guess_btn.click(fn=guess_letter, inputs=[guess_input, correct_answer, word_display, wrong_guesses_left, guessed_letters], outputs=[word_display, feedback_display, wrong_guesses_left, guessed_letters])
 
 app.launch()
 
 
 
+