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from PIL import Image | |
from io import BytesIO | |
import base64 | |
import requests | |
import os | |
from mistralai import Mistral | |
import gradio as gr | |
api_key = os.getenv("MISTRAL_API_KEY") | |
Mistralclient = Mistral(api_key=api_key) | |
def encode_image(image_path): | |
"""Encode the image to base64.""" | |
try: | |
# Open the image file | |
image = Image.open(image_path).convert("RGB") | |
# Resize the image to a height of 512 while maintaining the aspect ratio | |
base_height = 512 | |
h_percent = (base_height / float(image.size[1])) | |
w_size = int((float(image.size[0]) * float(h_percent))) | |
image = image.resize((w_size, base_height), Image.LANCZOS) | |
# Convert the image to a byte stream | |
buffered = BytesIO() | |
image.save(buffered, format="JPEG") | |
img_str = base64.b64encode(buffered.getvalue()).decode("utf-8") | |
return img_str | |
except FileNotFoundError: | |
print(f"Error: The file {image_path} was not found.") | |
return None | |
except Exception as e: # Add generic exception handling | |
print(f"Error: {e}") | |
return None | |
def feifeichat(image): | |
try: | |
model = "pixtral-large-2411" | |
# Define the messages for the chat | |
base64_image = encode_image(image) | |
messages = [{ | |
"role": | |
"user", | |
"content": [ | |
{ | |
"type": "text", | |
"text": "Please provide a detailed description of this photo" | |
}, | |
{ | |
"type": "image_url", | |
"image_url": f"data:image/jpeg;base64,{base64_image}" | |
}, | |
], | |
"stream": False, | |
}] | |
partial_message = "" | |
for chunk in Mistralclient.chat.stream(model=model, messages=messages): | |
if chunk.data.choices[0].delta.content is not None: | |
partial_message = partial_message + chunk.data.choices[ | |
0].delta.content | |
yield partial_message | |
except Exception as e: # 添加通用异常处理 | |
print(f"Error: {e}") | |
return "Please upload a photo" | |
with gr.Blocks() as demo: | |
gr.Markdown("Image To Flux Prompt") | |
with gr.Tab(label="Image To Flux Prompt"): | |
input_img = gr.Image(label="Input Picture",height=320,type="filepath") | |
submit_btn = gr.Button(value="Submit") | |
output_text = gr.Textbox(label="Flux Prompt") | |
submit_btn.click(feifeichat, [input_img], [output_text]) | |
demo.launch() | |