Delete app.py
#4
by
MaheshP98 - opened
app.py
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# app.py
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import os, random, wave, json, uuid, urllib.request, zipfile
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import gradio as gr
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from pydub import AudioSegment
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from vosk import Model, KaldiRecognizer
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# === Model Download ===
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MODEL_DIR = "vosk-model-small-en-us-0.15"
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MODEL_URL = "https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip"
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MODEL_ZIP = "vosk-model-small-en-us-0.15.zip"
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if not os.path.exists(MODEL_DIR):
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print("🔽 Downloading Vosk model...")
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urllib.request.urlretrieve(MODEL_URL, MODEL_ZIP)
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with zipfile.ZipFile(MODEL_ZIP, "r") as zip_ref:
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zip_ref.extractall()
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print("✅ Model ready.")
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vosk_model = Model(MODEL_DIR)
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# === Vosk Transcription ===
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def transcribe_vosk(audio_path):
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try:
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if not audio_path or not os.path.exists(audio_path):
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return "❌ No audio file provided."
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temp_wav = f"converted_{uuid.uuid4().hex}.wav"
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audio = AudioSegment.from_file(audio_path)
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if len(audio) < 1000:
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return "⚠️ Please record at least 1 second."
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audio = audio.set_frame_rate(16000).set_channels(1).set_sample_width(2)
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audio.export(temp_wav, format="wav")
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wf = wave.open(temp_wav, "rb")
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rec = KaldiRecognizer(vosk_model, wf.getframerate())
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result = ""
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while True:
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data = wf.readframes(4000)
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if not data:
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break
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if rec.AcceptWaveform(data):
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result += json.loads(rec.Result()).get("text", "") + " "
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result += json.loads(rec.FinalResult()).get("text", "")
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wf.close()
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os.remove(temp_wav)
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return result.strip() or "⚠️ Speech not recognized clearly."
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except Exception as e:
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return f"❌ Error: {str(e)}"
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# === Diet Logic ===
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local_foods = {
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"vegetables": ["carrot", "tomato", "cucumber", "spinach", "beetroot"],
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"grains": ["rice", "wheat", "millet", "barley"],
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"proteins": ["lentils", "eggs", "chicken", "soybeans", "peas"]
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}
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def generate_diet(age, gender, weight, height, occupation, activity_level,
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health_conditions, dietary_preferences, allergies, budget):
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return f"""
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🌿 Personalized Healthy Diet Plan 🌿
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──────────────────────────────────────
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👨🌾 Occupation: {occupation}
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⚡ Activity Level: {activity_level}
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💰 Daily Budget: ₹{budget}
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🍽️ Meals for Today:
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🥣 Breakfast: {random.choice(local_foods['grains'])} with {random.choice(local_foods['vegetables'])}
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🍛 Lunch: {random.choice(local_foods['proteins'])} with {random.choice(local_foods['grains'])}
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🥗 Dinner: {random.choice(local_foods['vegetables'])}, {random.choice(local_foods['vegetables'])} with {random.choice(local_foods['proteins'])}
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🩺 Health Conditions: {health_conditions or 'None'}
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🌱 Preferences: {dietary_preferences or 'None'}
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⚠️ Allergies: {allergies or 'None'}
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"""
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# === Translations ===
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translations = {
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"English": {
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"title": "🥗 Personalized Diet Generator (Voice Input)",
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"record_tip": "🎤 Record → Stop → Transcribe",
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"age": "Age", "gender": "Gender", "weight": "Weight (kg)", "height": "Height (cm)",
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"occupation": "Occupation", "activity": "Activity Level",
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"health_audio": "🩺 Speak Health Conditions", "diet_audio": "🥗 Speak Dietary Preferences",
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"allergy_audio": "⚠️ Speak Allergies", "health_text": "Recognized Health Conditions",
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"diet_text": "Recognized Dietary Preferences", "allergy_text": "Recognized Allergies",
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"transcribe_health": "Transcribe Health", "transcribe_diet": "Transcribe Preferences",
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"transcribe_allergy": "Transcribe Allergies", "budget": "Daily Budget (₹)",
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"generate": "Generate Diet Plan", "output": "Generated Diet Plan"
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},
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"Spanish": {
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"title": "🥗 Generador de Dieta Personalizada (Entrada por Voz)",
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"record_tip": "🎤 Grabar → Detener → Transcribir", "age": "Edad", "gender": "Género",
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"weight": "Peso (kg)", "height": "Altura (cm)", "occupation": "Ocupación",
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"activity": "Nivel de actividad", "health_audio": "🩺 Decir condiciones de salud",
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"diet_audio": "🥗 Decir preferencias dietéticas", "allergy_audio": "⚠️ Decir alergias",
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"health_text": "Condiciones reconocidas", "diet_text": "Preferencias reconocidas",
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"allergy_text": "Alergias reconocidas", "transcribe_health": "Transcribir salud",
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"transcribe_diet": "Transcribir preferencias", "transcribe_allergy": "Transcribir alergias",
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"budget": "Presupuesto diario (₹)", "generate": "Generar plan", "output": "Plan generado"
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},
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"Hindi": {
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"title": "🥗 व्यक्तिगत डाइट जनरेटर (वॉइस इनपुट)",
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"record_tip": "🎤 रिकॉर्ड करें → रुकें → ट्रांसक्राइब करें", "age": "आयु", "gender": "लि��ग",
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"weight": "वज़न (किग्रा)", "height": "ऊंचाई (सेमी)", "occupation": "पेशा",
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"activity": "गतिविधि स्तर", "health_audio": "🩺 स्वास्थ्य स्थिति बोलें",
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"diet_audio": "🥗 आहार वरीयताएँ बोलें", "allergy_audio": "⚠️ एलर्जी बोलें",
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"health_text": "पहचानी गई स्वास्थ्य स्थितियाँ", "diet_text": "पहचानी गई आहार वरीयताएँ",
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"allergy_text": "पहचानी गई एलर्जी", "transcribe_health": "स्वास्थ्य ट्रांसक्राइब करें",
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"transcribe_diet": "आहार ट्रांसक्राइब करें", "transcribe_allergy": "एलर्जी ट्रांसक्राइब करें",
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"budget": "दैनिक बजट (₹)", "generate": "डाइट प्लान बनाएं", "output": "बनाया गया डाइट प्लान"
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},
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"Telugu": {
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"title": "🥗 వ్యక్తిగత ఆహార ప్రణాళిక (వాయిస్ ఇన్పుట్)",
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"record_tip": "🎤 రికార్డ్ చేయండి → ఆపు → ట్రాన్స్క్రైబ్", "age": "వయస్సు", "gender": "లింగం",
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"weight": "బరువు (kg)", "height": "ఎత్తు (cm)", "occupation": "వృత్తి", "activity": "చర్య స్థాయి",
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"health_audio": "🩺 ఆరోగ్య పరిస్థితులు చెప్పండి", "diet_audio": "🥗 ఆహార అభిరుచులు చెప్పండి",
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"allergy_audio": "⚠️ అలర్జీలు చెప్పండి", "health_text": "ఆరోగ్య పరిస్థితులు గుర్తించబడ్డాయి",
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"diet_text": "ఆహార అభిరుచులు గుర్తించబడ్డాయి", "allergy_text": "అలర్జీలు గుర్తించబడ్డాయి",
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"transcribe_health": "హెల్త్ ట్రాన్స్క్రైబ్", "transcribe_diet": "డైట్ ట్రాన్స్క్రైబ్",
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"transcribe_allergy": "అలర్జీ ట్రాన్స్క్రైబ్", "budget": "రోజువారీ బడ్జెట్ (₹)",
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"generate": "ప్లాన్ రూపొందించండి", "output": "ఆహార ప్రణాళిక"
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}
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}
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# === UI ===
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def render_ui(language="English"):
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t = translations[language]
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with gr.Blocks() as demo:
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gr.Markdown(f"## {t['title']}")
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gr.Markdown(t["record_tip"])
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lang_sel = gr.Dropdown(list(translations.keys()), value=language, label="🌐 Language")
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with gr.Row():
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age = gr.Number(label=t["age"], value=30)
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gender = gr.Radio(["Male", "Female", "Other"], label=t["gender"])
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weight = gr.Number(label=t["weight"], value=70)
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height = gr.Number(label=t["height"], value=170)
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occupation = gr.Textbox(label=t["occupation"])
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activity_level = gr.Radio(["Low", "Medium", "High"], label=t["activity"], value="Medium")
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health_audio = gr.Audio(label=t["health_audio"], type="filepath")
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health_text = gr.Textbox(label=t["health_text"])
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diet_audio = gr.Audio(label=t["diet_audio"], type="filepath")
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diet_text = gr.Textbox(label=t["diet_text"])
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allergy_audio = gr.Audio(label=t["allergy_audio"], type="filepath")
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allergy_text = gr.Textbox(label=t["allergy_text"])
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with gr.Row():
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gr.Button(t["transcribe_health"]).click(transcribe_vosk, inputs=health_audio, outputs=health_text)
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gr.Button(t["transcribe_diet"]).click(transcribe_vosk, inputs=diet_audio, outputs=diet_text)
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gr.Button(t["transcribe_allergy"]).click(transcribe_vosk, inputs=allergy_audio, outputs=allergy_text)
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budget = gr.Number(label=t["budget"], value=200)
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output = gr.Textbox(label=t["output"], lines=20, show_copy_button=True)
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gr.Button(t["generate"]).click(
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generate_diet,
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inputs=[age, gender, weight, height, occupation, activity_level,
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health_text, diet_text, allergy_text, budget],
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outputs=output
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)
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def reload_lang(new_lang):
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return render_ui(new_lang)
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lang_sel.change(fn=reload_lang, inputs=lang_sel, outputs=None)
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return demo
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# === Launch ===
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if __name__ == "__main__":
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render_ui("English").launch(server_name="0.0.0.0", server_port=7860)
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