Create app.py

app.py

@@ -0,0 +1,49 @@
+import os
+import requests
+from google.colab import userdata  # Secure storage for API keys in Colab
+import gradio as gr
+
+
+# Get the Groq API key securely (use userdata in Colab)
+groq_api_key = userdata.get("GROQ_API_KEY")  # Store using userdata.set("GROQ_API_KEY", "your_api_key")
+
+if not groq_api_key:
+    raise ValueError("GROQ_API_KEY not found! Set it using userdata.set('GROQ_API_KEY', 'your_api_key')")
+
+# Define the URL for the Groq API endpoint
+url = "https://api.groq.com/openai/v1/chat/completions"
+
+# Set the headers for the API request
+headers = {
+    "Authorization": f"Bearer {groq_api_key}"
+}
+
+def chat_with_groq(user_input):
+  body = {
+      "model": "llama-3.1-8b-instant",
+      "messages": [
+          {"role": "user", "content": user_input}
+      ]
+  }
+
+  # Send a POST request to the Groq API
+  response = requests.post(url, headers=headers, json=body)
+
+
+
+# Check if the request was successful
+  if response.status_code == 200:
+     return response.json()['choices'][0]['message']['content']
+  else:
+     return "Error:", response.json()
+
+
+interface=gr.Interface(
+    fn=chat_with_groq,
+    inputs=gr.Textbox("Ask me anything..."),
+    outputs=gr.Textbox(),
+    title="Chat bow uwing groq (Llama 3.1-8B)",
+    description="Type your question below and get a response powered by Groq's Llama 3.1-8B model"
+    )
+
+interface.launch()