Update app.py

app.py

@@ -1,28 +1,19 @@
-import requests
+from groq import Groq
 
-api_key = "YOUR_API_KEY"  # or use os.getenv("DEEPSEEK_API_KEY") if set in your env
+# Initialize the Groq client
+client = Groq()
 
-headers = {
-    "Authorization": f"Bearer {api_key}",
-    "Content-Type": "application/json"
-}
+# Create a chat completion request
+completion = client.chat.completions.create(
+    model="meta-llama/llama-4-scout-17b-16e-instruct",  # Specify the model
+    messages=[{"role": "user", "content": "Hello, how can I improve my coding skills?"}],  # Example message
+    temperature=1,  # Controls randomness (higher is more random)
+    max_completion_tokens=1024,  # Max tokens in the response
+    top_p=1,  # Controls the diversity via nucleus sampling
+    stream=True,  # Use streaming to receive chunks of the response
+    stop=None,  # Define stopping criteria (optional)
+)
 
-url = "https://api.deepseek.com/v1/chat/completions"
-
-data = {
-    "model": "deepseek-chat",
-    "messages": [
-        {"role": "user", "content": "Correct and improve this sentence: 'I goed to the park and play.'"}
-    ],
-    "temperature": 0.7,
-    "max_tokens": 100
-}
-
-response = requests.post(url, headers=headers, json=data)
-
-if response.status_code == 200:
-    print("✅ Response from DeepSeek:")
-    print(response.json()["choices"][0]["message"]["content"])
-else:
-    print("❌ Error:")
-    print(response.status_code, response.text)
+# Process and print the response
+for chunk in completion:
+    print(chunk.choices[0].delta.content or "", end="")  # Print the content from the response