import streamlit as st import google.generativeai as genai from PIL import Image import io import base64 import pandas as pd import zipfile import PyPDF2 # Konfiguration der Seite st.set_page_config(page_title="Gemini AI Chat", layout="wide") st.title("🤖 Gemini AI Chat Interface") st.markdown(""" **Welcome to the Gemini AI Chat Interface!** Chat seamlessly with Google's advanced Gemini AI models, supporting multiple input types. 🔗 [GitHub Profile](https://github.com/volkansah) | 📂 [Project Repository](https://github.com/volkansah/gemini-ai-chat) | 💬 [Soon](https://aicodecraft.io) """) # Session State Management if "messages" not in st.session_state: st.session_state.messages = [] if "uploaded_content" not in st.session_state: st.session_state.uploaded_content = None # Funktionen zur Dateiverarbeitung def encode_image(image): buffered = io.BytesIO() image.save(buffered, format="JPEG") return base64.b64encode(buffered.getvalue()).decode('utf-8') def process_file(uploaded_file): file_type = uploaded_file.name.split('.')[-1].lower() if file_type in ["jpg", "jpeg", "png"]: return {"type": "image", "content": Image.open(uploaded_file).convert('RGB')} code_extensions = ["html", "css", "php", "js", "py", "java", "c", "cpp"] if file_type in ["txt"] + code_extensions: return {"type": "text", "content": uploaded_file.read().decode("utf-8")} if file_type in ["csv", "xlsx"]: df = pd.read_csv(uploaded_file) if file_type == "csv" else pd.read_excel(uploaded_file) return {"type": "text", "content": df.to_string()} if file_type == "pdf": reader = PyPDF2.PdfReader(uploaded_file) return {"type": "text", "content": "".join(page.extract_text() for page in reader.pages if page.extract_text())} if file_type == "zip": with zipfile.ZipFile(uploaded_file) as z: # <- Hier beginnt der Block newline = "\n" content = f"ZIP Contents:{newline}" text_extensions = ('.txt', '.csv', '.py', '.html', '.js', '.css', '.php', '.json', '.xml', '.c', '.cpp', '.java', '.cs', '.rb', '.go', '.ts', '.swift', '.kt', '.rs', '.sh', '.sql') for file_info in z.infolist(): if not file_info.is_dir(): try: with z.open(file_info.filename) as file: if file_info.filename.lower().endswith(text_extensions): file_content = file.read().decode('utf-8') content += f"{newline}📄 {file_info.filename}:{newline}{file_content}{newline}" else: raw_content = file.read() try: decoded_content = raw_content.decode('utf-8') content += f"{newline}📄 {file_info.filename} (unbekannte Erweiterung):{newline}{decoded_content}{newline}" except UnicodeDecodeError: content += f"{newline}⚠️ Binärdatei ignoriert: {file_info.filename}{newline}" except Exception as e: content += f"{newline}❌ Fehler bei {file_info.filename}: {str(e)}{newline}" return {"type": "text", "content": content} # Korrekt eingerückt return {"type": "error", "content": "Unsupported file format"} # Sidebar für Einstellungen with st.sidebar: api_key = st.text_input("Google AI API Key", type="password") model = st.selectbox("Model", [ "gemini-1.5-flash", "gemini-1.5-pro", "gemini-1.5-pro-vision-latest", # Vision-Modell für Bilder "gemini-1.0-pro", "gemini-1.0-pro-vision-latest", # Vision-Modell für Bilder "gemini-2.0-pro-exp-02-05", "gemini-2.0-flash-lite", "gemini-2.0-flash-exp-image-generation", # Vision-Modell für Bilder "gemini-2.0-flash", "gemini-2.0-flash-thinking-exp-01-21" ]) temperature = st.slider("Temperature", 0.0, 1.0, 0.7) max_tokens = st.slider("Max Tokens", 1, 100000, 1000) # Datei-Upload uploaded_file = st.file_uploader("Upload File (Image/Text/PDF/ZIP)", type=["jpg", "jpeg", "png", "txt", "pdf", "zip", "csv", "xlsx", "html", "css", "php", "js", "py"]) if uploaded_file: processed = process_file(uploaded_file) st.session_state.uploaded_content = processed if processed["type"] == "image": st.image(processed["content"], caption="Uploaded Image", use_container_width=True) elif processed["type"] == "text": st.text_area("File Preview", processed["content"], height=200) # Chat-Historie anzeigen for message in st.session_state.messages: with st.chat_message(message["role"]): st.markdown(message["content"]) # Chat-Eingabe verarbeiten if prompt := st.chat_input("Your message..."): if not api_key: st.warning("API Key benötigt!") st.stop() try: # API konfigurieren genai.configure(api_key=api_key) # Modell auswählen model_instance = genai.GenerativeModel(model) # Inhalt vorbereiten content = [{"text": prompt}] # Dateiinhalt hinzufügen if st.session_state.uploaded_content: if st.session_state.uploaded_content["type"] == "image": if "vision" not in model.lower(): st.error("Bitte ein Vision-Modell für Bilder auswählen!") st.stop() content.append({ "inline_data": { "mime_type": "image/jpeg", "data": encode_image(st.session_state.uploaded_content["content"]) } }) elif st.session_state.uploaded_content["type"] == "text": content[0]["text"] += f"\n\n[File Content]\n{st.session_state.uploaded_content['content']}" # Nachricht zur Historie hinzufügen st.session_state.messages.append({"role": "user", "content": prompt}) with st.chat_message("user"): st.markdown(prompt) # Antwort generieren response = model_instance.generate_content( content, generation_config=genai.types.GenerationConfig( temperature=temperature, max_output_tokens=max_tokens ) ) # Überprüfen, ob die Antwort gültig ist if not response.candidates: st.error("API Error: Keine gültige Antwort erhalten. Überprüfe die Eingabe oder das Modell.") else: # Antwort anzeigen with st.chat_message("assistant"): st.markdown(response.text) st.session_state.messages.append({"role": "assistant", "content": response.text}) except Exception as e: st.error(f"API Error: {str(e)}") if "vision" not in model and st.session_state.uploaded_content["type"] == "image": st.error("Für Bilder einen Vision-fähigen Modell auswählen!") # Instructions in the sidebar with st.sidebar: st.markdown(""" ## 📝 Instructions: 1. Enter your Google AI API key 2. Select a model (use vision models for image analysis) 3. Adjust temperature and max tokens if needed 4. Optional: Set a system prompt 5. Upload an image (optional) 6. Type your message and press Enter ### About 🔗 [GitHub Profile](https://github.com/volkansah) | 📂 [Project Repository](https://github.com/volkansah/gemini-ai-chat) | 💬 [Soon](https://aicodecraft.io) """)