├── Llama4ScoutImages.gif
├── README.md
└── Terminal_Llama4_API.py


/Llama4ScoutImages.gif:
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https://raw.githubusercontent.com/fabiomatricardi/Llama4Scout-MM-API/main/Llama4ScoutImages.gif


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/README.md:
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 1 | # Llama4Scout-MM-API
 2 | Terminal Chat with image/text to Llama 4 Scout on openrouter
 3 | 
 4 | <img src='https://github.com/fabiomatricardi/Llama4Scout-MM-API/raw/main/Llama4ScoutImages.gif' width=1100>
 5 | 
 6 | ### Get a free API key
 7 | Register to [openrouter](https://openrouter.ai/) and create a free API key
 8 | 
 9 | ### Clone the repo
10 | ```
11 | git clone https://github.com/fabiomatricardi/Llama4Scout-MM-API.git
12 | cd Llama4Scout-MM-API
13 | ```
14 | 
15 | ## Install dependencies
16 | ```
17 | pip install openai rich easygui pillow --upgrade
18 | ```
19 | 
20 | ### Run the python app
21 | ```
22 | python Terminal_Llama4_API.py
23 | ```
24 | 
25 | 
26 | 


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/Terminal_Llama4_API.py:
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 1 | import base64
 2 | from openai import OpenAI
 3 | from easygui import fileopenbox
 4 | from PIL import Image
 5 | import io
 6 | from datetime import datetime
 7 | from rich.prompt import Prompt # https://rich.readthedocs.io/en/latest/
 8 | 
 9 | #Ask for your openrouter API key
10 | APIKey = Prompt.ask("Enter your Openrouter API key: ", password=True)
11 | 
12 | # Function to encode the image
13 | def encode_image(image_path):
14 |     with open(image_path, "rb") as image_file:
15 |         return base64.b64encode(image_file.read()).decode("utf-8")
16 | 
17 | # Path to your image
18 | print('Pick one image from your local PC...')
19 | image_path = fileopenbox(msg='Pick your image', default='*.jpg')
20 | #Display the image side by side in oS window
21 | selectedImage = Image.open(image_path)
22 | print('Opening the image in your Operating System...')
23 | selectedImage.show('Your uploaded Image')
24 | 
25 | print('Encoding the image...')
26 | # Getting the Base64 string
27 | base64_image = encode_image(image_path)
28 | 
29 | print('Connecting to Openrouter Llama4 Scout...')
30 | client = OpenAI(
31 |                 base_url="https://openrouter.ai/api/v1",
32 |                 api_key=APIKey,
33 |                 )
34 | start = datetime.now()
35 | print('Reply:')
36 | stream = client.chat.completions.create(
37 |     extra_headers={},
38 |     extra_body={},
39 |     model="meta-llama/llama-4-scout:free",
40 |     messages=[
41 |         {
42 |         "role": "user",
43 |         "content": [
44 |             {
45 |             "type": "text",
46 |             "text": "What is in this image?"
47 |             },
48 |             {
49 |             "type": "image_url",
50 |             "image_url": {
51 |                 "url": f"data:image/jpeg;base64,{base64_image}",
52 |             }
53 |             }
54 |         ]
55 |         }
56 |     ],
57 |     max_tokens=1024,
58 |     stream=True,
59 |     temperature=0.4)
60 | # Print the straming from the API call
61 | for chunk in stream:
62 |     print(chunk.choices[0].delta.content, end='',flush=True)
63 | end = datetime.now() - start
64 | print('\n---\n')
65 | print(f'Completed in {end.total_seconds():.1f} seconds')


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