Spaces:
Running
Running
| import google.generativeai as genai | |
| import gradio as gr | |
| # import PIL.Image | |
| def medicalImageAnalyzer(image,prompt): | |
| # img = PIL.Image.open(image.name) | |
| model = genai.GenerativeModel('gemini-1.0-pro-vision-latest') | |
| response = model.generate_content(["You are medical analyzer, Try to analyse the image and generate a short finding of the image", prompt,image], stream=True) | |
| response.resolve() | |
| return response.text | |
| # Define the Gradio interface | |
| iface = gr.Interface( | |
| fn=medicalImageAnalyzer, | |
| inputs=[gr.inputs.Image(type="pil", label="Upload a medical image"), | |
| gr.inputs.Textbox(label="Enter a prompt")], | |
| outputs="text", | |
| title="Medical Image Analyzer", | |
| description="Upload a medical image for analysis." | |
| ) | |
| # Launch the interface | |
| iface.launch(debug=False,inline = False,share = False) | |