Create app.py

app.py

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+import scratchattach as sa
+from groq import Groq
+
+# Initialize Scratch session
+session = sa.login_by_id(".eJxVkMFugzAQRP-Fc6E2YBtySw8Vh7SKqlZqekFrvASXYEdgRJWq_95F4hKtvIeZ0duRf6N5wtHBgNEuiuMD3HDsIcRx9BAF36MjWTNoCzAK04zltEtQaau5AW40yFLsllodq-ev2S3H0-HFVyz-edeZqz4-e8Jc_Nm62F6JlKokFWnCGT1ZkFfDHLp6rVBbQwEuaLjKc_LMN7izr4Md8Obd2m8_4GgbeHzFpT75sb8HdDB1FEKmMskbIVrBsMhLoxjKBqQQ3EjNSykyg5itFwJOofG-tyt8ISCae6SGhr5gLbZq6AJdD9a7ZDOm5A2vl0182sJ__wOwbSg:1uMIsI:0WrcA-cUZ4-PPGmKUGGpjP_ldzw", username="--Lazerkat--")
+cloud = session.connect_cloud("1183313747")
+client = cloud.requests()
+
+# Initialize Groq client
+groq_client = Groq(api_key="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")
+
+# Global chat history list
+chat_history = []
+
+# Request 1: Get Groq response (with context retention)
+@client.request
+def get_groq_response(user_input):
+    global chat_history
+
+    try:
+        # Add user input to history
+        chat_history.append({"role": "user", "content": user_input})
+
+        # Get response from Groq (with full history)
+        chat_completion = groq_client.chat.completions.create(
+            messages=chat_history,
+            model="deepseek-r1-distill-llama-70b",
+        )
+
+        # Extract and store the AI's response
+        ai_response = chat_completion.choices[0].message.content
+        chat_history.append({"role": "assistant", "content": ai_response})
+
+        return ai_response
+
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Request 2: Clear chat history
+@client.request
+def clear_history():
+    global chat_history
+    chat_history = []
+    return "Chat history cleared!"
+
+client.start(thread=True)