Update app.py
Browse files
app.py
CHANGED
@@ -1,138 +1,113 @@
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import gradio as gr
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#
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]
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}
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# --- Mock Prediction Function ---
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def predict_disease(selected_labels):
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if not selected_labels or len(selected_labels) < 4:
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return "β οΈ Please select at least 4 symptoms for accurate results."
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# Mock prediction
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return f"""
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<div style='background: #001a33; padding: 15px; border-radius: 8px;
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<h3 style='color: #4fc3f7; margin-top: 0;'>π©Ί Predicted
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<p
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<h3 style='color: #4fc3f7;'>π
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<ul>
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<li>
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<li>
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<li>
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<li>Consult a doctor if symptoms worsen</li>
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</ul>
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</div>
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"""
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# --- Mock Chat Responder ---
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def chatbot_respond(message, chat_history):
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for condition, advice in MOCK_KNOWLEDGE.items():
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if condition in message_lower:
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response = advice
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break
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return chat_history + [(message, response)], ""
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#
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:root {
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--primary: #4fc3f7;
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--secondary: #001a33;
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--text: #ffffff;
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--bg: #0a192f;
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--card-bg: #0a2342;
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--error: #ff6b6b;
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}
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body, .gradio-container {
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background: var(--bg) !important;
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color: var(--text) !important;
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font-family: 'Segoe UI', Roboto, sans-serif;
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}
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.gr-button {
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background: var(--primary) !important;
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color: var(--secondary) !important;
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border: none !important;
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}
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.gr-button:hover {
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opacity: 0.9 !important;
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}
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.gr-checkbox {
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background: var(--card-bg) !important;
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border-color: var(--primary) !important;
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}
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.gr-checkbox label {
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color: var(--text) !important;
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}
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"""
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with gr.Blocks(css=custom_css, title="Medical Diagnosis Demo") as demo:
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gr.Markdown("""
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<div style=
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<h1 style=
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<p style=
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</div>
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""")
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with gr.Row(
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with gr.Column(
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gr.Markdown("### π Symptom Checker
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symptoms_input = gr.CheckboxGroup(
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choices=
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label="Select symptoms:",
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interactive=True
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)
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predict_btn = gr.Button("Analyze Symptoms", variant="primary")
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prediction_output = gr.HTML(
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value="<div style='padding: 20px; background: #001a33; border-radius: 8px; color: white;'>Select symptoms and click analyze to see mock results</div>"
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)
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with gr.Column(
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gr.Markdown("### π¬ Medical Advisor
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chatbot = gr.Chatbot(
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label="Chat with Medical Advisor",
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show_label=False,
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bubble_full_width=False
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)
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with gr.Row():
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user_input = gr.Textbox(
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label="",
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show_label=False,
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container=False,
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scale=7
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)
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send_btn = gr.Button("Send", scale=1, min_width=80)
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inputs=symptoms_input,
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outputs=prediction_output
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)
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send_btn.click(
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fn=chatbot_respond,
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inputs=[user_input, chatbot],
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outputs=[chatbot, user_input]
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)
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user_input.submit(
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fn=chatbot_respond,
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inputs=[user_input, chatbot],
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outputs=[chatbot, user_input]
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)
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demo.launch()
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import gradio as gr
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import numpy as np
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# Your original symptom list (copied from your code)
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all_symptoms = [
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'abdominal_pain', 'abnormal_menstruation', 'acidity', 'acute_liver_failure',
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'altered_sensorium', 'anxiety', 'back_pain', 'belly_pain', 'blackheads',
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'bladder_discomfort', 'blister', 'blood_in_sputum', 'bloody_stool',
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'blurred_and_distorted_vision', 'breathlessness', 'brittle_nails',
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'bruising', 'burning_micturition', 'chest_pain', 'chills', 'cold_hands_and_feets',
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'coma', 'congestion', 'constipation', 'continuous_feel_of_urine',
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'continuous_sneezing', 'cough', 'cramps', 'dark_urine', 'dehydration',
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'depression', 'diarrhoea', 'dischromic _patches', 'distention_of_abdomen',
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'dizziness', 'drying_and_tingling_lips', 'enlarged_thyroid', 'excessive_hunger',
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'extra_marital_contacts', 'family_history', 'fast_heart_rate', 'fatigue',
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'fluid_overload', 'fluid_overload.1', 'foul_smell_of urine', 'headache',
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'high_fever', 'hip_joint_pain', 'history_of_alcohol_consumption', 'increased_appetite',
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'indigestion', 'inflammatory_nails', 'internal_itching', 'irregular_sugar_level',
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'irritability', 'irritation_in_anus', 'itching', 'joint_pain', 'knee_pain',
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'lack_of_concentration', 'lethargy', 'loss_of_appetite', 'loss_of_balance',
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'loss_of_smell', 'malaise', 'mild_fever', 'mood_swings', 'movement_stiffness',
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'mucoid_sputum', 'muscle_pain', 'muscle_wasting', 'muscle_weakness',
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'nausea', 'neck_pain', 'nodal_skin_eruptions', 'obesity', 'pain_behind_the_eyes',
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'pain_during_bowel_movements', 'pain_in_anal_region', 'painful_walking',
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'palpitations', 'passage_of_gases', 'patches_in_throat', 'phlegm',
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'polyuria', 'prominent_veins_on_calf', 'puffy_face_and_eyes', 'pus_filled_pimples',
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'receiving_blood_transfusion', 'receiving_unsterile_injections', 'red_sore_around_nose',
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'red_spots_over_body', 'redness_of_eyes', 'restlessness', 'runny_nose',
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'rusty_sputum', 'scurring', 'shivering', 'silver_like_dusting', 'sinus_pressure',
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'skin_peeling', 'skin_rash', 'slurred_speech', 'small_dents_in_nails',
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'spinning_movements', 'spotting_ urination', 'stiff_neck', 'stomach_bleeding',
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'stomach_pain', 'sunken_eyes', 'sweating', 'swelled_lymph_nodes',
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'swelling_joints', 'swelling_of_stomach', 'swollen_blood_vessels',
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'swollen_extremeties', 'swollen_legs', 'throat_irritation', 'toxic_look_(typhos)',
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'ulcers_on_tongue', 'unsteadiness', 'visual_disturbances', 'vomiting',
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'watering_from_eyes', 'weakness_in_limbs', 'weakness_of_one_body_side',
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'weight_gain', 'weight_loss', 'yellow_crust_ooze', 'yellow_urine',
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'yellowish_skin', 'yellowing_of_eyes'
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]
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# Convert to display format (your original formatting)
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display_symptoms = [symptom.replace('_', ' ').title() for symptom in all_symptoms]
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# Medical knowledge base (simplified but with your structure)
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MEDICAL_KNOWLEDGE = {
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"fungal infection": "Antifungal creams or oral medications may be needed",
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"allergy": "Antihistamines can help relieve symptoms",
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"cold": "Rest and fluids are recommended",
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# Add more conditions as needed
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}
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def predict_disease(selected_labels):
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if not selected_labels or len(selected_labels) < 4:
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return "β οΈ Please select at least 4 symptoms for accurate results."
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# Mock prediction with your symptom list
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return f"""
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<div style='background: #001a33; padding: 15px; border-radius: 8px; margin-bottom: 15px;'>
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<h3 style='color: #4fc3f7; margin-top: 0;'>π©Ί Predicted Disease</h3>
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<p style='font-size: 18px; color: white;'>Common Cold <span style='color: #4fc3f7'>(85% confidence)</span></p>
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</div>
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<div style='background: #001a33; padding: 15px; border-radius: 8px;'>
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<h3 style='color: #4fc3f7; margin-top: 0;'>π Top 3 Possible Conditions</h3>
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<ul style='color: white; padding-left: 20px;'>
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<li><b>1. Common Cold</b> β 85%</li>
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<li><b>2. Allergic Reaction</b> β 65%</li>
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<li><b>3. Viral Infection</b> β 45%</li>
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</ul>
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</div>
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"""
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def chatbot_respond(message, chat_history):
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response = "This is a demo response. In a real app, this would provide medical advice."
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for condition, advice in MEDICAL_KNOWLEDGE.items():
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if condition in message.lower():
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response = advice
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break
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return chat_history + [(message, response)], ""
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# Your original UI with all symptoms
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with gr.Blocks(title="Medical Diagnosis Assistant") as demo:
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gr.Markdown("""
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<div style='text-align: center; margin-bottom: 20px;'>
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<h1 style='margin-bottom: 5px; color: #4fc3f7;'>𧬠Medical Diagnosis Assistant</h1>
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<p style='color: #4fc3f7; font-size: 16px;'>Select symptoms for diagnosis</p>
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</div>
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""")
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with gr.Row():
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with gr.Column():
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gr.Markdown("### π Symptom Checker")
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symptoms_input = gr.CheckboxGroup(
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choices=display_symptoms,
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label="Select your symptoms:",
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interactive=True
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)
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predict_btn = gr.Button("Analyze Symptoms", variant="primary")
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prediction_output = gr.HTML(
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value="<div style='padding: 20px; background: #001a33; border-radius: 8px; color: white;'>Your results will appear here</div>"
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)
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with gr.Column():
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gr.Markdown("### π¬ Medical Advisor")
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chatbot = gr.Chatbot(bubble_full_width=False)
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with gr.Row():
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user_input = gr.Textbox(placeholder="Ask about symptoms...")
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send_btn = gr.Button("Send")
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predict_btn.click(predict_disease, symptoms_input, prediction_output)
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send_btn.click(chatbot_respond, [user_input, chatbot], [chatbot, user_input])
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user_input.submit(chatbot_respond, [user_input, chatbot], [chatbot, user_input])
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demo.launch()
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