Create app.py

app.py

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+
+
+import os
+import requests
+import gradio as gr
+
+from google.colab import userdata  # Secure storage for API keys in Colab
+
+groq_api_key = userdata.get("GROQ_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}"
+}
+
+# Function to interact with Groq API
+def chat_with_groq(user_input):
+    body = {
+        "model": "llama-3.3-70b-versatile",
+        "messages": [
+            {"role": "user", "content": user_input}
+        ]
+    }
+
+    response = requests.post(url, headers=headers, json=body)
+
+    if response.status_code == 200:
+        return response.json()['choices'][0]['message']['content']
+    else:
+        return f"Error: {response.json()}"
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=chat_with_groq,
+    inputs=gr.Textbox(lines=2, placeholder="Ask me anything..."),
+    outputs=gr.Textbox(),
+    title="DDS Chat with Groq AI (Llama 3.1-8B)",
+    description="Type your question below and get a response powered by Groq's Llama 3.1-8B model."
+)
+
+# Launch Gradio app
+interface.launch()