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()