Create app.py

app.py

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+import streamlit as st
+import requests
+import json
+
+# Título de la aplicación
+st.title("Predicción de Cáncer Cervical")
+
+# Crear los campos de entrada para el formulario
+behavior_sexualRisk = st.number_input("Risk Behavior (Sexual)", min_value=0.0, max_value=100.0, value=10.0)
+behavior_eating = st.number_input("Eating Behavior", min_value=0.0, max_value=100.0, value=10.0)
+behavior_personalHygine = st.number_input("Personal Hygiene", min_value=0.0, max_value=100.0, value=10.0)
+intention_aggregation = st.number_input("Intention Aggregation", min_value=0.0, max_value=100.0, value=10.0)
+intention_commitment = st.number_input("Intention Commitment", min_value=0.0, max_value=100.0, value=10.0)
+attitude_consistency = st.number_input("Attitude Consistency", min_value=0.0, max_value=100.0, value=10.0)
+attitude_spontaneity = st.number_input("Attitude Spontaneity", min_value=0.0, max_value=100.0, value=0.0)
+norm_significantPerson = st.number_input("Norm Significant Person", min_value=0.0, max_value=100.0, value=0.0)
+norm_fulfillment = st.number_input("Norm Fulfillment", min_value=0.0, max_value=100.0, value=0.0)
+perception_vulnerability = st.number_input("Perception Vulnerability", min_value=0.0, max_value=100.0, value=0.0)
+perception_severity = st.number_input("Perception Severity", min_value=0.0, max_value=100.0, value=0.0)
+motivation_strength = st.number_input("Motivation Strength", min_value=0.0, max_value=100.0, value=0.34)
+motivation_willingness = st.number_input("Motivation Willingness", min_value=0.0, max_value=100.0, value=0.54)
+socialSupport_emotionality = st.number_input("Social Support Emotionality", min_value=0.0, max_value=100.0, value=0.0)
+socialSupport_appreciation = st.number_input("Social Support Appreciation", min_value=0.0, max_value=100.0, value=0.0)
+socialSupport_instrumental = st.number_input("Social Support Instrumental", min_value=0.0, max_value=100.0, value=0.0)
+empowerment_knowledge = st.number_input("Empowerment Knowledge", min_value=0.0, max_value=100.0, value=10.0)
+empowerment_abilities = st.number_input("Empowerment Abilities", min_value=0.0, max_value=100.0, value=20.0)
+empowerment_desires = st.number_input("Empowerment Desires", min_value=0.0, max_value=100.0, value=0.0)
+
+# Botón para hacer la predicción
+if st.button("Obtener Diagnóstico"):
+    # Crear el payload para la solicitud
+    payload = {
+        "behavior_sexualRisk": behavior_sexualRisk,
+        "behavior_eating": behavior_eating,
+        "behavior_personalHygine": behavior_personalHygine,
+        "intention_aggregation": intention_aggregation,
+        "intention_commitment": intention_commitment,
+        "attitude_consistency": attitude_consistency,
+        "attitude_spontaneity": attitude_spontaneity,
+        "norm_significantPerson": norm_significantPerson,
+        "norm_fulfillment": norm_fulfillment,
+        "perception_vulnerability": perception_vulnerability,
+        "perception_severity": perception_severity,
+        "motivation_strength": motivation_strength,
+        "motivation_willingness": motivation_willingness,
+        "socialSupport_emotionality": socialSupport_emotionality,
+        "socialSupport_appreciation": socialSupport_appreciation,
+        "socialSupport_instrumental": socialSupport_instrumental,
+        "empowerment_knowledge": empowerment_knowledge,
+        "empowerment_abilities": empowerment_abilities,
+        "empowerment_desires": empowerment_desires
+    }
+    
+    # Hacer la solicitud a la API
+    url = 'https://jairodanielmt-ejemplo-anibal.hf.space/predict/'
+    headers = {'Content-Type': 'application/json', 'Accept': 'application/json'}
+    response = requests.post(url, json=payload, headers=headers)
+
+    # Verificar si la respuesta es exitosa
+    if response.status_code == 200:
+        # Mostrar el diagnóstico recibido
+        result = response.json()
+        ca_cervix_prediction = result.get('ca_cervix_prediction', 'No disponible')
+        st.write(f"Diagnóstico: {ca_cervix_prediction}")
+    else:
+        # Si ocurre un error en la solicitud
+        st.error("Ocurrió un error al obtener el diagnóstico. Intenta nuevamente más tarde.")