Create new_app.py

new_app.py

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+import streamlit as st
+import google.generativeai as genai
+from PIL import Image
+import io
+import base64
+import pandas as pd
+import zipfile
+import os
+import PyPDF2
+
+def encode_image(image):
+    """Convert PIL Image to base64 string"""
+    buffered = io.BytesIO()
+    image.save(buffered, format="JPEG")
+    image_bytes = buffered.getvalue()
+    encoded_image = base64.b64encode(image_bytes).decode('utf-8')
+    return encoded_image
+
+def read_file(uploaded_file):
+    """Reads different file formats and returns content as string"""
+    file_type = uploaded_file.name.split('.')[-1].lower()
+    
+    if file_type in ["txt", "html", "css", "php", "js", "py", "java", "c", "cpp"]:
+        return uploaded_file.read().decode("utf-8")
+    
+    elif file_type in ["csv", "xlsx"]:
+        df = pd.read_csv(uploaded_file) if file_type == "csv" else pd.read_excel(uploaded_file)
+        return df.to_string()
+    
+    elif file_type == "pdf":
+        reader = PyPDF2.PdfReader(uploaded_file)
+        text = "".join([page.extract_text() for page in reader.pages if page.extract_text()])
+        return text
+    
+    elif file_type == "zip":
+        with zipfile.ZipFile(uploaded_file, 'r') as zip_ref:
+            file_list = zip_ref.namelist()
+            extracted_text = "\n".join(file_list)
+            return f"ZIP Inhalt: {extracted_text}"
+    
+    return "Nicht unterstütztes Dateiformat."
+
+st.set_page_config(page_title="Gemini AI Chat", layout="wide")
+st.title("🤖 Gemini AI Chat Interface")
+
+api_key = st.text_input("Enter Google AI API Key", type="password")
+model = st.selectbox("Select Model", [
+    "gemini-1.5-flash", "gemini-1.5-pro", "gemini-1.5-flash-8B", "gemini-1.5-pro-vision-latest", 
+    "gemini-1.0-pro", "gemini-1.0-pro-vision-latest", "gemini-2.0-pro-exp-02-05", "gemini-2.0-flash-lite", 
+    "gemini-2.0-flash-exp-image-generation", "gemini-2.0-flash", "gemini-2.0-flash-thinking-exp-01-21"
+])
+
+uploaded_file = st.file_uploader("Upload a file (optional)", type=["txt", "csv", "xlsx", "pdf", "zip", "html", "css", "php", "js", "py", "java", "c", "cpp"])
+file_content = None
+if uploaded_file:
+    file_content = read_file(uploaded_file)
+    st.text_area("File Content Preview", file_content, height=200)
+
+user_input = st.text_area("Your message")
+
+if st.button("Send") and api_key:
+    try:
+        genai.configure(api_key=api_key)
+        model_instance = genai.GenerativeModel(model_name=model)
+        
+        content = [{"text": user_input}]
+        if file_content:
+            content.append({"text": file_content})
+        
+        response = model_instance.generate_content(content)
+        st.markdown(response.text)
+    except Exception as e:
+        st.error(f"Error: {str(e)}")