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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-12b-2409" | |
| # 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(mcp_server=True) | |