Create app.py

app.py

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+import streamlit as st
+from google.generativeai import text_model
+from PIL import Image
+import io
+import os
+
+
+# API-Schlüssel laden 
+api_key = os.getenv('KEY')
+
+# Gemini API-Modell initialisieren
+model = text_model.TextModel.from_pretrained("gemini-2.0-flash")
+
+st.title("Bildanalyse mit Gemini")
+
+uploaded_file = st.file_uploader("Bild hochladen", type=["jpg", "png", "jpeg"])
+
+if uploaded_file is not None:
+    image = Image.open(uploaded_file)
+    st.image(image, caption="Hochgeladenes Bild", use_column_width=True)
+
+    if st.button("Analysieren"):
+        # Bild in Bytes umwandeln
+        image_bytes = io.BytesIO()
+        image.save(image_bytes, format=image.format)
+        image_bytes = image_bytes.getvalue()
+
+        # Gemini API-Anfrage erstellen
+        prompt = "Was ist das Hauptobjekt in diesem Bild?"
+        response = model.generate_text(
+            model=model,
+            prompt=prompt,
+            image=image_bytes,
+            temperature=0.5,
+            max_output_tokens=100
+        )
+
+        # Antwort anzeigen
+        st.write("## Analyseergebnis:")
+        st.write(response.result)