Requirement.text

gradio
requests

app.py

@@ -0,0 +1,59 @@
+import os
+import gradio as gr
+import requests
+
+api_key = os.getenv("GROQ_API_KEY")
+
+def analyze_mppt(voltage, current, power, temperature):
+    if not api_key:
+        return "Error: GROQ_API_KEY is missing."
+
+    prompt = (
+        f"You are an expert in solar energy and MPPT control.\n"
+        f"Given the following readings from a solar panel:\n"
+        f"- Voltage: {voltage} V\n"
+        f"- Current: {current} A\n"
+        f"- Power: {power} W\n"
+        f"- Temperature: {temperature} °C\n\n"
+        f"Provide an analysis of the system’s efficiency, whether MPPT is optimized, and any suggestions for improvement or maintenance."
+    )
+
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json"
+    }
+
+    payload = {
+        "model": "llama3-8b-8192",
+        "messages": [
+            {"role": "system", "content": "You are a solar energy engineer specialized in MPPT systems."},
+            {"role": "user", "content": prompt}
+        ],
+        "temperature": 0.2
+    }
+
+    try:
+        response = requests.post(
+            "https://api.groq.com/openai/v1/chat/completions",
+            headers=headers,
+            json=payload
+        )
+        return response.json()["choices"][0]["message"]["content"].strip()
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+iface = gr.Interface(
+    fn=analyze_mppt,
+    inputs=[
+        gr.Number(label="Voltage (V)"),
+        gr.Number(label="Current (A)"),
+        gr.Number(label="Power (W)"),
+        gr.Number(label="Temperature (°C)")
+    ],
+    outputs=gr.Textbox(label="MPPT Analysis"),
+    title="IoT-based Solar Monitoring (MPPT Analysis)",
+    description="Enter solar panel readings to analyze MPPT performance using Groq's LLaMA 3 model."
+)
+
+if __name__ == "__main__":
+    iface.launch()