Create app.py

app.py

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+import streamlit as st
+import requests
+import json
+from PIL import Image
+import io
+import base64
+import pandas as pd
+import zipfile
+import PyPDF2
+import os  # Wird für die zukünftige Umgebungsvariablen-Nutzung bereitgehalten
+
+# --- Konfiguration ---
+st.set_page_config(page_title="OpenRouter Free Interface", layout="wide")
+OPENROUTER_API_BASE = "https://openrouter.ai/api/v1"
+
+# --- Page Title ---
+st.title("💸 OpenRouter Free-Tier Interface")
+st.markdown("""
+**Willkommen im All-OpenRouter-Free-Interface Deluxe!**
+Chatte mit **kostenlosen (Free-Tier)** Modellen über die OpenRouter API.
+Alle Modelle unterliegen den OpenRouter-Ratenbegrenzungen.
+""")
+
+# --- 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
+
+
+# --- Datei-Verarbeitung ---
+def encode_image(image):
+    buf = io.BytesIO()
+    image.save(buf, format="JPEG")
+    return base64.b64encode(buf.getvalue()).decode("utf-8")
+
+
+def process_file(uploaded_file):
+    file_type = uploaded_file.name.split('.')[-1].lower()
+    text_exts = ('.txt', '.csv', '.py', '.html', '.js', '.css', '.json', '.xml', '.sql', '.xlsx')
+
+    if file_type in ["jpg", "jpeg", "png"]:
+        return {"type": "image", "content": Image.open(uploaded_file).convert('RGB')}
+
+    if file_type in ["txt"] + [ext.strip('.') for ext in text_exts if ext not in ('.csv', '.xlsx')]:
+        return {"type": "text", "content": uploaded_file.read().decode("utf-8", errors="ignore")}
+
+    if file_type in ["csv", "xlsx"]:
+        try:
+            df = pd.read_csv(uploaded_file) if file_type == "csv" else pd.read_excel(uploaded_file)
+            return {"type": "text", "content": df.to_string()}
+        except Exception as e:
+            return {"type": "error", "content": f"Fehler beim Lesen der Tabelle: {e}"}
+
+    if file_type == "pdf":
+        try:
+            reader = PyPDF2.PdfReader(uploaded_file)
+            return {"type": "text", "content": "".join(page.extract_text() or "" for page in reader.pages)}
+        except Exception as e:
+            return {"type": "error", "content": f"PDF Fehler: {e}"}
+
+    if file_type == "zip":
+        try:
+            with zipfile.ZipFile(uploaded_file) as z:
+                content = "ZIP Contents:\n"
+                for f in z.infolist():
+                    if not f.is_dir() and f.filename.lower().endswith(text_exts):
+                        content += f"\n📄 {f.filename}:\n"
+                        content += z.read(f.filename).decode("utf-8", errors="ignore")
+                return {"type": "text", "content": content or "ZIP enthält keine lesbaren Textdateien."}
+        except Exception as e:
+            return {"type": "error", "content": f"ZIP Fehler: {e}"}
+
+    return {"type": "error", "content": "Nicht unterstütztes Dateiformat."}
+
+
+# --- Context-Length Fetch ---
+def fetch_model_contexts(api_key):
+    """Lädt alle Modelle + deren context_length."""
+    if not api_key:
+        return {}
+    headers = {"Authorization": f"Bearer {api_key}"}
+    try:
+        res = requests.get(f"{OPENROUTER_API_BASE}/models", headers=headers, timeout=10)
+        contexts = {}
+        if res.status_code == 200:
+            for m in res.json().get("data", []):
+                mid = m.get("id")
+                ctx = m.get("context_length", 4096)
+                contexts[mid] = ctx
+        return contexts
+    except Exception as e:
+        st.warning(f"⚠️ Fehler beim Laden der Modellinfos: {e}")
+        return {}
+
+
+# --- Sidebar ---
+with st.sidebar:
+    st.header("⚙️ API Settings")
+    api_key = st.text_input("OpenRouter API Key", type="password")
+
+    # Free Modelle (Fallback)
+    FREE_MODEL_LIST = [
+        "cognitivecomputations/dolphin-mistral-24b-venice-edition:free",
+        "deepseek/deepseek-chat-v3",
+        "google/gemma-2-9b-it",
+        "mistralai/mistral-7b-instruct-v0.2",
+        "qwen/qwen2-72b-instruct",
+        "nousresearch/nous-hermes-2-mixtral-8x7b-dpo",
+    ]
+
+    model = st.selectbox("Wähle ein Modell", FREE_MODEL_LIST, index=0)
+
+    # Context automatisch anpassen
+    model_contexts = fetch_model_contexts(api_key)
+    default_ctx = model_contexts.get(model, 4096)
+
+    temperature = st.slider("Temperature", 0.0, 1.0, 0.7)
+    max_tokens = st.slider(f"Max Tokens (max {default_ctx})", 1, min(default_ctx, 32000), min(512, default_ctx))
+    st.caption(f"🔢 Model Context Length: {default_ctx}")
+
+    if st.button("🔄 Chat Reset"):
+        st.session_state.messages = []
+        st.session_state.uploaded_content = None
+        st.success("Chat-Verlauf und Anhang gelöscht.")
+
+    st.markdown("""
+    ---
+    🧠 **Hinweis:** Diese Modelle sind **kostenlos**, aber ggf. durch Rate-Limits beschränkt.  
+    Dein API-Key wird nur **lokal** verwendet.
+    """)
+
+
+# --- Datei Upload ---
+uploaded_file = st.file_uploader("Upload File (optional)",
+                                 type=["jpg", "jpeg", "png", "txt", "pdf", "zip", "csv", "xlsx", "html", "css", "js", "py"])
+
+if uploaded_file and st.session_state.uploaded_content is None:
+    st.session_state.uploaded_content = process_file(uploaded_file)
+
+if st.session_state.uploaded_content:
+    processed = st.session_state.uploaded_content
+    st.subheader("📎 Current Attachment:")
+    if processed["type"] == "image":
+        st.image(processed["content"], caption="Attached Image", width=300)
+    elif processed["type"] == "text":
+        st.text_area("File Preview", processed["content"], height=150)
+    elif processed["type"] == "error":
+        st.error(processed["content"])
+    if st.button("❌ Remove Attachment"):
+        st.session_state.uploaded_content = None
+        st.experimental_rerun()
+
+
+# --- Chat Verlauf anzeigen ---
+for msg in st.session_state.messages:
+    with st.chat_message(msg["role"]):
+        st.markdown(msg["content"])
+
+
+# --- API Call ---
+def call_openrouter(model, messages, temp, max_tok, key):
+    headers = {
+        "Authorization": f"Bearer {key}",
+        "Content-Type": "application/json",
+        "Referer": "https://aicodecraft.io",
+        "X-Title": "OpenRouter-Free-Interface",
+    }
+    payload = {
+        "model": model,
+        "messages": messages,
+        "temperature": temp,
+        "max_tokens": max_tok,
+    }
+
+    res = requests.post(f"{OPENROUTER_API_BASE}/chat/completions", headers=headers, data=json.dumps(payload))
+    if res.status_code == 200:
+        try:
+            return res.json()["choices"][0]["message"]["content"]
+        except (KeyError, IndexError):
+            raise Exception("Fehlerhafte API-Antwort: Konnte Antworttext nicht extrahieren.")
+    else:
+        try:
+            err = res.json()
+            msg = err.get("error", {}).get("message", res.text)
+        except:
+            msg = res.text
+        raise Exception(f"API Error {res.status_code}: {msg}")
+
+
+# --- Chat Input ---
+if prompt := st.chat_input("Deine Nachricht..."):
+    if not api_key:
+        st.warning("Bitte trage deinen OpenRouter API Key in der Sidebar ein.")
+        st.stop()
+
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    messages = [{"role": m["role"], "content": m["content"]} for m in st.session_state.messages]
+
+    if st.session_state.uploaded_content:
+        content = st.session_state.uploaded_content
+        if content["type"] == "image":
+            base64_img = encode_image(content["content"])
+            messages[-1]["content"] = [
+                {"type": "text", "text": prompt},
+                {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{base64_img}"}}
+            ]
+        elif content["type"] == "text":
+            messages[-1]["content"] += f"\n\n[Attached File Content]\n{content['content']}"
+
+    with st.chat_message("assistant"):
+        with st.spinner(f"Fragend {model}..."):
+            try:
+                reply = call_openrouter(model, messages, temperature, max_tokens, api_key)
+                st.markdown(reply)
+                st.session_state.messages.append({"role": "assistant", "content": reply})
+            except Exception as e:
+                st.error(str(e))
+                st.session_state.messages.append({"role": "assistant", "content": f"❌ {str(e)}"})