Create app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import google.generativeai as genai
+
+import os 
+token=os.environ.get("TOKEN") 
+genai.configure(api_key=token)
+
+# Chargez l'image
+model = genai.GenerativeModel(model_name="gemini-pro-vision")
+model_simple = genai.GenerativeModel(model_name="gemini-pro")
+
+e =""
+# Fonction pour générer le contenu
+def generate_content(image):
+    global e
+
+    if not image:
+        response = model_simple.generate_content(pro)
+        e = response.text
+        print(e)
+
+    else:
+        response = model.generate_content([pro, image])
+        print(response.text)
+        e = response.text
+    return e
+
+
+markdown = r"""
+e
+""".format(e)
+# Interface Gradio
+iface = gr.Interface(fn=generate_content, inputs=gr.Image(type='pil'), outputs= gr.Markdown(markdown, latex_delimiters=[{ "left":"$$", "right":"$$", "display": True }]))
+
+iface.launch()