Update app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+import numpy as np
+from groq import Groq  # Assuming this is the correct import
+
+# Initialize Groq API
+GROQ_API_KEY = "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"
+client = Groq(api_key=GROQ_API_KEY)
+
+# Mock Resource Monitoring System
+RESOURCE_LIMITS = {
+    "Oxygen Level": (80, 100),
+    "Food Reserves (days)": (10, 365),
+    "Power Availability (%)": (30, 100),
+    "Communication Signals (Strength)": (50, 100),
+}
+
+def fetch_health_data():
+    """Simulate fetching health data for astronauts."""
+    return {
+        "Heart Rate (bpm)": np.random.randint(50, 120),
+        "Oxygen Saturation (%)": np.random.randint(80, 100),
+        "Stress Indicator": np.random.choice(["Low", "Moderate", "High"])
+    }
+
+def fetch_resource_data():
+    """Simulate fetching resource data."""
+    return {key: np.random.uniform(*limits) for key, limits in RESOURCE_LIMITS.items()}
+
+def groq_predict_alert(message):
+    """Use Groq API to analyze emergency alerts."""
+    try:
+        result = client.predict({"text": message})
+        return result.get("label", "No label detected")
+    except Exception as e:
+        return f"Error using Groq API: {e}"
+
+# Streamlit UI
+st.title("ARMS: Autonomous Resource Management System")
+st.write("Track, analyze, and optimize survival resources for space missions.")
+
+st.subheader("Real-Time Monitoring")
+resource_data = fetch_resource_data()
+health_data = fetch_health_data()
+
+col1, col2 = st.columns(2)
+with col1:
+    st.write("### Resource Metrics")
+    for key, value in resource_data.items():
+        st.metric(key, f"{value:.2f}")
+
+with col2:
+    st.write("### Astronaut Health Metrics")
+    for key, value in health_data.items():
+        st.metric(key, value)
+
+# Predictive Analytics
+st.subheader("Predictive Analysis & Alerts")
+if st.button("Run Groq Analysis"):
+    alert_message = "Critical alert: Resources dangerously low. Immediate action required!"
+    groq_result = groq_predict_alert(alert_message)
+    st.write("Groq API Result:", groq_result)
+    st.warning(alert_message)
+
+st.write("Developed for Hackathon using Groq API, Streamlit, and Hugging Face.")