Create app.py

app.py

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+import streamlit as st
+import google.generativeai as genai
+import os
+
+# --- Page Configuration ---
+# Sets the title and icon that appear in the browser tab.
+st.set_page_config(
+    page_title="Multilingual Gen AI",
+    page_icon="🌍",
+    layout="centered",
+)
+
+# --- App Styling ---
+# You can inject custom CSS for styling if you want a more unique look.
+st.markdown("""
+<style>
+    .stButton>button {
+        background-color: #4CAF50;
+        color: white;
+        border-radius: 20px;
+        border: 1px solid #4CAF50;
+        padding: 10px 24px;
+        font-size: 16px;
+    }
+    .stButton>button:hover {
+        background-color: white;
+        color: #4CAF50;
+        border: 1px solid #4CAF50;
+    }
+</style>
+""", unsafe_allow_html=True)
+
+
+# --- Main Application UI ---
+st.title("🌍 Multilingual Generative AI Application")
+st.write("Powered by Google Gemini")
+st.markdown("---")
+st.write(
+    "This app allows you to generate text in various languages. "
+    "Enter your Google Gemini API key, type a prompt, select a target language, and see the magic happen!"
+)
+
+# --- Function to call Gemini API ---
+def generate_text_in_language(api_key, prompt, language):
+    """
+    Connects to the Gemini API and generates content based on the prompt and language.
+
+    Args:
+        api_key (str): The user's Google Gemini API key.
+        prompt (str): The user's input prompt.
+        language (str): The target language for the output.
+
+    Returns:
+        str: The generated text or an error message.
+    """
+    try:
+        # Configure the Gemini client with the provided API key
+        genai.configure(api_key=api_key)
+
+        # Create the generative model instance
+        model = genai.GenerativeModel('gemini-2.0-flash')
+
+        # Construct a more effective prompt for the model
+        full_prompt = f"Please provide the answer strictly in the {language} language for the following prompt: '{prompt}'"
+
+        # Generate content
+        response = model.generate_content(full_prompt)
+
+        return response.text
+    except Exception as e:
+        # Provide a user-friendly error message
+        return f"An error occurred: {str(e)}. Please check your API key and network connection."
+
+# --- User Inputs ---
+# Use a password field for the API key to keep it hidden
+api_key = st.text_input(
+    "Enter your Google Gemini API Key:",
+    type="password",
+    help="You can get your API key from Google AI Studio."
+)
+
+# A text area for the user to enter their prompt
+user_prompt = st.text_area(
+    "Enter your prompt here:",
+    height=150,
+    placeholder="e.g., Explain the theory of relativity in simple terms"
+)
+
+# A dropdown menu for language selection
+languages = [
+    "English", "Spanish", "French", "German", "Italian", "Portuguese",
+    "Japanese", "Korean", "Chinese (Simplified)", "Hindi", "Arabic", "Russian", "Urdu"
+]
+selected_language = st.selectbox("Select the output language:", languages)
+
+# --- Generate Button and Output ---
+if st.button("✨ Generate Text"):
+    # Validate inputs before making an API call
+    if not api_key.strip():
+        st.error("Please enter a valid API Key.")
+    elif not user_prompt.strip():
+        st.error("Please enter a prompt.")
+    else:
+        with st.spinner(f"Generating text in {selected_language}..."):
+            # Call the generation function
+            generated_text = generate_text_in_language(api_key, user_prompt, selected_language)
+
+            # Display the result in an informative box
+            st.info(f"Generated Text in {selected_language}")
+            st.write(generated_text)
+
+st.markdown("---")
+st.write("Developed with ❤️ using Python, Streamlit, and Gemini.")