Update app.py

app.py

@@ -1,18 +1,24 @@
-import gradio as gr
-import PIL.Image
+import pathlib
+import textwrap
 import google.generativeai as genai
+from IPython.display import display, Markdown
+
+def to_markdown(text):
+    text = text.replace('•', '  *')
+    return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True))
 
 token = "AIzaSyDYhyRoOWBJWOb4bqY5wmFLrBo4HTwQDko"
-genai.configure(
-    api_key=token
-)
+genai.configure(api_key=token)
+
 # Chargez l'image
 model = genai.GenerativeModel(model_name="gemini-pro-vision")
+
 # Fonction pour générer le contenu
 def generate_content(image):
     response = model.generate_content(["Write a short, engaging blog post based on this picture. It should include a description of the meal in the photo and talk about my journey meal prepping.", image], stream=True)
     
-    return response.resolve()
+    markdown_response = to_markdown(response.resolve())
+    return markdown_response
 
 # Interface Gradio
 iface = gr.Interface(fn=generate_content, inputs=gr.Image(type='pil'), outputs="text")