Create app.py

app.py

@@ -0,0 +1,40 @@
+import os
+import requests
+import gradio as gr
+
+# Retrieve the API key from the environment variable
+groq_api_key = os.getenv("GROQ_API_KEY")
+
+if not groq_api_key:
+    raise ValueError("GROQ_API_KEY is missing! Set it in the Hugging Face Spaces 'Secrets'.")
+
+# Define the API endpoint and headers
+url = "https://api.groq.com/openai/v1/chat/completions"
+headers = {"Authorization": f"Bearer {groq_api_key}"}
+
+# Function to interact with Groq API
+def chat_with_groq(user_input):
+    body = {
+        "model": "deepseek-r1-distill-qwen-32b",
+        "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="Chat with Groq AI (deepseek-r1-distill-qwen-32b)",
+    description="Type your question below and get a response powered by Groq's deepseek-r1-distill-qwen-32b model."
+)
+
+# Launch Gradio app
+if __name__ == "__main__":
+    interface.launch()