Update app.py

app.py

@@ -1,3 +1,74 @@
+import streamlit as st
+import google.generativeai as genai
+
+# Streamlit Seite konfigurieren
+st.set_page_config(
+    page_title="Gemini Chatbot mit Google Search",
+    page_icon="🤖"
+)
+
+
+genai.configure(api_key=os.environ["geminiapi"])
+
+# Modell-Konfiguration
+generation_config = {
+    "temperature": 0.4,
+    "top_p": 0.95,
+    "top_k": 40,
+    "max_output_tokens": 8192,
+    "response_mime_type": "text/plain",
+}
+
+grounding_config = genai.types.GroundingConfig(
+    source_type=genai.types.GroundingSource.GOOGLE_SEARCH
+)
+
+model = genai.GenerativeModel(
+    model_name="gemini-2.0-flash-exp",
+    generation_config=generation_config,
+    grounding_config=grounding_config
+)
+
+# Chat Session State initialisieren
+if "chat_session" not in st.session_state:
+    st.session_state.chat_session = model.start_chat(history=[])
+
+# UI Komponenten
+st.title("🤖 Gemini Chatbot mit Google Search")
+user_input = st.text_input("Stelle deine Frage:", key="user_input")
+
+if user_input:
+    # Prompt mit Sprachaufforderung kombinieren
+    full_prompt = f"{user_input}\nAntworte immer auf Deutsch"
+    
+    # Antwort generieren
+    response = st.session_state.chat_session.send_message(full_prompt)
+    
+    # Antwort extrahieren
+    if response.candidates:
+        response_text = response.candidates[0].content.parts[0].text
+    else:
+        response_text = "Keine Antwort erhalten"
+    
+    # Antwort anzeigen
+    st.subheader("Antwort:")
+    st.write(response_text)
+    
+    # Quellen anzeigen falls vorhanden
+    if response.grounding_metadata:
+        st.subheader("Quellen:")
+        for source in response.grounding_metadata.sources:
+            st.markdown(f"- [{source.url}]({source.url})")
+
+
+
+
+
+
+
+
+
+"""
 # Flask API
 from flask import Flask, jsonify
 import threading
@@ -47,3 +118,5 @@ flask_thread.start()
 #data = response.json()
 
 #st.write(response)  # Zeigt die Daten in der Streamlit-Oberfläche an
+
+"""