Delete files_app.py
Browse files- files_app.py +0 -73
files_app.py
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import streamlit as st
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import google.generativeai as genai
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from PIL import Image
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import io
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import base64
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import pandas as pd
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import zipfile
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import os
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import PyPDF2
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def encode_image(image):
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"""Convert PIL Image to base64 string"""
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buffered = io.BytesIO()
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image.save(buffered, format="JPEG")
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image_bytes = buffered.getvalue()
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encoded_image = base64.b64encode(image_bytes).decode('utf-8')
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return encoded_image
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def read_file(uploaded_file):
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"""Reads different file formats and returns content as string"""
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file_type = uploaded_file.name.split('.')[-1].lower()
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if file_type in ["txt", "html", "css", "php", "js", "py", "java", "c", "cpp"]:
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return uploaded_file.read().decode("utf-8")
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elif file_type in ["csv", "xlsx"]:
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df = pd.read_csv(uploaded_file) if file_type == "csv" else pd.read_excel(uploaded_file)
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return df.to_string()
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elif file_type == "pdf":
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reader = PyPDF2.PdfReader(uploaded_file)
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text = "".join([page.extract_text() for page in reader.pages if page.extract_text()])
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return text
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elif file_type == "zip":
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with zipfile.ZipFile(uploaded_file, 'r') as zip_ref:
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file_list = zip_ref.namelist()
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extracted_text = "\n".join(file_list)
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return f"ZIP Inhalt: {extracted_text}"
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return "Nicht unterstütztes Dateiformat."
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st.set_page_config(page_title="Gemini AI Chat", layout="wide")
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st.title("🤖 Gemini AI Chat Interface")
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api_key = st.text_input("Enter Google AI API Key", type="password")
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model = st.selectbox("Select Model", [
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"gemini-1.5-flash", "gemini-1.5-pro", "gemini-1.5-flash-8B", "gemini-1.5-pro-vision-latest",
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"gemini-1.0-pro", "gemini-1.0-pro-vision-latest", "gemini-2.0-pro-exp-02-05", "gemini-2.0-flash-lite",
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"gemini-2.0-flash-exp-image-generation", "gemini-2.0-flash", "gemini-2.0-flash-thinking-exp-01-21"
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])
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uploaded_file = st.file_uploader("Upload a file (optional)", type=["txt", "csv", "xlsx", "pdf", "zip", "html", "css", "php", "js", "py", "java", "c", "cpp"])
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file_content = None
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if uploaded_file:
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file_content = read_file(uploaded_file)
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st.text_area("File Content Preview", file_content, height=200)
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user_input = st.text_area("Your message")
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if st.button("Send") and api_key:
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try:
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genai.configure(api_key=api_key)
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model_instance = genai.GenerativeModel(model_name=model)
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content = [{"text": user_input}]
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if file_content:
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content.append({"text": file_content})
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response = model_instance.generate_content(content)
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st.markdown(response.text)
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except Exception as e:
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st.error(f"Error: {str(e)}")
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