Create app.py

app.py

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+German Learning Gradio App
+
+File: app.py
+
+Run locally: python app.py
+
+Deploy: on Hugging Face Spaces (Gradio SDK)
+
+import gradio as gr import pandas as pd import random from gtts import gTTS import io
+
+--- Data ---
+
+LESSONS = { "A1 - Greetings & Basics": { "vocab": [ ("Hallo", "Hello"), ("Guten Morgen", "Good morning"), ("Gute Nacht", "Good night"), ("Danke", "Thank you"), ("Bitte", "Please / You're welcome"), ("Ja", "Yes"), ("Nein", "No"), ], "grammar": [ "Nouns have genders: der (m), die (f), das (n).", "Basic verb sein (to be): ich bin, du bist, er/sie ist.", ], }, "A1 - Introductions": { "vocab": [ ("Ich heiße...", "My name is..."), ("Wie heißt du?", "What's your name?"), ("Ich komme aus...", "I come from..."), ("Wohnst du hier?", "Do you live here?"), ], "grammar": [ "Personal pronouns: ich, du, er, sie, es, wir, ihr, sie, Sie.", ], }, }
+
+QUIZZES = { "A1 - Basics Quiz": [ { "q": "What is 'Danke' in English?", "options": ["Please", "Thank you", "Hello", "No"], "answer": "Thank you", }, { "q": "Which article is masculine?", "options": ["die", "das", "der", "dem"], "answer": "der", }, { "q": "Translate: 'Guten Morgen'", "options": ["Good night", "Good morning", "Hello", "Goodbye"], "answer": "Good morning", }, ] }
+
+--- Helpers ---
+
+def tts_audio_bytes(text, lang="de"): try: tts = gTTS(text=text, lang=lang) fp = io.BytesIO() tts.write_to_fp(fp) fp.seek(0) return fp.read() except Exception: return None
+
+def get_vocab_table(lesson_name): vocab = LESSONS[lesson_name]["vocab"] df = pd.DataFrame(vocab, columns=["German", "English"]) return df
+
+def play_pronunciation(word): audio = tts_audio_bytes(word) return (word, audio)
+
+def random_flashcard(lesson_name): word, meaning = random.choice(LESSONS[lesson_name]["vocab"]) audio = tts_audio_bytes(word) return (f"{word} — {meaning}", audio)
+
+def get_grammar_notes(lesson_name): notes = LESSONS[lesson_name]["grammar"] return "\n".join([f"• {n}" for n in notes])
+
+--- Quiz Logic ---
+
+def start_quiz(): q = QUIZZES["A1 - Basics Quiz"] return q[0]["q"], q[0]["options"], 0, 0, []
+
+def next_question(qidx, score, answers, choice): quiz = QUIZZES["A1 - Basics Quiz"] if choice == quiz[qidx]["answer"]: score += 1 answers.append({ "question": quiz[qidx]["q"], "selected": choice, "correct": quiz[qidx]["answer"], }) qidx += 1 if qidx >= len(quiz): result_text = f"Quiz Complete! Score: {score}/{len(quiz)}" df = pd.DataFrame(answers) return result_text, None, None, qidx, score, answers else: q = quiz[qidx] return q["q"], q["options"], None, qidx, score, answers
+
+--- Gradio Interface ---
+
+with gr.Blocks(title="German Learning Hub") as demo: gr.Markdown("# 🇩🇪 German Learning Hub — Beginner Level (A1)")
+
+with gr.Tab("Vocabulary & Grammar"):
+    lesson = gr.Dropdown(list(LESSONS.keys()), label="Choose Lesson", value="A1 - Greetings & Basics")
+    vocab_table = gr.DataFrame(headers=["German", "English"], label="Vocabulary")
+    grammar_notes = gr.Textbox(label="Grammar Notes", lines=5)
+    word_input = gr.Dropdown(label="Play Pronunciation", choices=[w for w, _ in LESSONS["A1 - Greetings & Basics"]["vocab"]])
+    pronounce_btn = gr.Button("Play")
+    word_output = gr.Textbox(label="Selected Word")
+    audio_output = gr.Audio(label="Audio", type="filepath")
+
+    flash_btn = gr.Button("🎴 Show Random Flashcard")
+    flash_text = gr.Textbox(label="Flashcard")
+    flash_audio = gr.Audio(label="Flashcard Audio", type="filepath")
+
+    lesson.change(get_vocab_table, inputs=lesson, outputs=vocab_table)
+    lesson.change(get_grammar_notes, inputs=lesson, outputs=grammar_notes)
+    pronounce_btn.click(play_pronunciation, inputs=word_input, outputs=[word_output, audio_output])
+    flash_btn.click(random_flashcard, inputs=lesson, outputs=[flash_text, flash_audio])
+
+with gr.Tab("Quiz"):
+    start_btn = gr.Button("Start Quiz")
+    question = gr.Textbox(label="Question")
+    options = gr.Radio(label="Options")
+    submit_btn = gr.Button("Submit Answer")
+    result_box = gr.Textbox(label="Result")
+
+    qidx = gr.State(0)
+    score = gr.State(0)
+    answers = gr.State([])
+
+    start_btn.click(start_quiz, outputs=[question, options, qidx, score, answers])
+    submit_btn.click(next_question, inputs=[qidx, score, answers, options], outputs=[question, options, result_box, qidx, score, answers])
+
+with gr.Tab("Listening Practice"):
+    sentence = gr.Dropdown(["Ich heiße Hidayat.", "Ich komme aus Pakistan.", "Wie geht es dir?"], label="Select a sentence")
+    listen_btn = gr.Button("Play")
+    audio_sent = gr.Audio(label="Audio", type="filepath")
+
+    def play_sentence(sent):
+        audio = tts_audio_bytes(sent)
+        return audio
+
+    listen_btn.click(play_sentence, inputs=sentence, outputs=audio_sent)
+
+gr.Markdown("---")
+gr.Markdown("Made by Dr. Hidayatullah Mahar — German Learning Hub on Hugging Face 💡")
+
+if name == "main": demo.launch()
+