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Create v1.txt
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import gradio as gr
from openai import OpenAI
from PIL import Image
import base64
import io
def pil_to_base64(image, max_size=1024):
"""
Convert a PIL image to a base64 string, resizing if necessary.
"""
if max(image.size) > max_size:
image.thumbnail((max_size, max_size))
buffered = io.BytesIO()
image.save(buffered, format="JPEG")
return base64.b64encode(buffered.getvalue()).decode()
def generate_story(image, genre, api_key):
"""
Generate a travel story based on the provided image and genre using the OpenRouter API.
"""
if not image:
return "Please upload an image."
if not genre:
return "Please enter a genre."
if not api_key:
return "Please enter your OpenRouter API key."
try:
image_base64 = pil_to_base64(image)
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=api_key,
)
prompt = f"Generate a {genre} story based on this travel photo."
messages = [
{
"role": "user",
"content": [
{"type": "text", "text": prompt},
{"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{image_base64}"}}
]
}
]
completion = client.chat.completions.create(
model="meta-llama/llama-3.2-11b-vision-instruct:free",
messages=messages
)
story = completion.choices[0].message.content
return story
except Exception as e:
return f"Error: {str(e)}"
# Gradio Interface
with gr.Blocks() as demo:
gr.Markdown("# Interactive Travel Story Generator")
gr.Markdown("Upload a travel photo, select a genre, and provide your OpenRouter API key to generate a personalized travel story.")
gr.Markdown("Note: You need an OpenRouter API key to use this app. Get one at [OpenRouter](https://openrouter.ai/).")
with gr.Row():
image_input = gr.Image(type="pil", label="Upload Travel Photo")
genre_input = gr.Textbox(label="Story Genre (e.g., adventure, romance, mystery, fantasy, historical)")
api_key_input = gr.Textbox(label="OpenRouter API Key", type="password")
generate_button = gr.Button("Generate Story")
output_text = gr.Textbox(label="Generated Story", lines=10)
generate_button.click(
fn=generate_story,
inputs=[image_input, genre_input, api_key_input],
outputs=output_text
)
demo.launch()