diff --git a/README.md b/README.md
index 37f70ed..773f4b2 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,7 @@
 # rubber ducky
+<p align="center">
+    <img src="ducky_img.webp" alt="Ducky Image" width="200" height="200">
+</p>
 
 ## tl;dr
 - `pip install rubber-ducky`
diff --git a/ducky/ducky.py b/ducky/ducky.py
index 5922797..b4725f7 100644
--- a/ducky/ducky.py
+++ b/ducky/ducky.py
@@ -25,9 +25,14 @@ async def call_llama(self, code: str = "", prompt: Optional[str] = None, chain:
         while True:
             # Include previous responses in the prompt for context
             context_prompt = "\n".join(responses) + "\n" + prompt
-            response = await self.client.generate(model=self.model, prompt=context_prompt)
-            print(response['response'])
-            responses.append(response['response'])
+            stream = await self.client.generate(model=self.model, prompt=context_prompt, stream=True)
+            response_text = ""
+            async for chunk in stream:
+                if 'response' in chunk:
+                    print(chunk['response'], end='', flush=True)
+                    response_text += chunk['response']
+            print()  # New line after response completes
+            responses.append(response_text)
             if not chain:
                 break
             prompt = input("\nAny questions? \n")
@@ -67,7 +72,7 @@ async def ducky() -> None:
 
     # Handle direct question from CLI
     if args.question is not None:
-        question = " ".join(args.question)
+        question = " ".join(args.question) + " be as concise as possible"
         await rubber_ducky.call_llama(prompt=question, chain=args.chain)
         return
 
diff --git a/ducky_img.webp b/ducky_img.webp
new file mode 100644
index 0000000..045582b
Binary files /dev/null and b/ducky_img.webp differ
diff --git a/setup.py b/setup.py
index 19a4d16..f81b435 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@
 
 setup(
     name='rubber-ducky',
-    version='1.1.2',
+    version='1.1.3',
     description='AI Companion for Pair Programming',
     long_description=long_description,
     long_description_content_type='text/markdown',