add api

.streamlit/secrets.toml

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+GEMINI_API_KEY = "AIzaSyC4ra1iTJVMmEI9dF4Di8W-2gV8lXmvu54"

app.py

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+import os
+import streamlit as st
+import google.generativeai as genai  # ✅ Gemini API library
+
+# Load API key securely
+api_key = os.getenv("GEMINI_API_KEY", st.secrets.get("GEMINI_API_KEY"))
+
+# Check if API key is available
+if not api_key:
+    st.error("⚠️ API key is missing! Set GEMINI_API_KEY as an environment variable or in Streamlit Secrets.")
+    st.stop()
+
+# Configure Gemini API
+genai.configure(api_key=api_key)
+
+# Function to generate AI response
+def call_gemini_api(prompt, model, max_tokens, temperature):
+    try:
+        model = genai.GenerativeModel(model)
+        response = model.generate_content(
+            prompt,
+            generation_config={
+                "max_output_tokens": max_tokens,
+                "temperature": temperature,
+            },
+        )
+
+        # ✅ Extract only the generated text
+        if response and response.candidates:
+            return response.candidates[0].content.parts[0].text
+        else:
+            return "⚠️ No valid response from Gemini AI."
+    
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Configure Streamlit page
+st.set_page_config(page_title="Gemini AI Text Generator", layout="centered")
+
+# UI Elements
+st.title("📝 Creative AI Assistant")
+st.write("Generate text with AI by providing a prompt below!")
+
+# User input fields
+user_input = st.text_area("✍️ Enter your prompt here:", height=150)
+
+col1, col2 = st.columns(2)
+
+with col1:
+    model = st.selectbox("🤖 Choose AI Model:", ["gemini-pro", "gemini-pro-code"])
+    max_tokens = st.slider("📏 Max Tokens (Word Length)", min_value=50, max_value=1000, value=200, step=50)
+
+with col2:
+    temperature = st.slider("🎨 Creativity Level (0 = Predictable, 1 = Creative)", min_value=0.0, max_value=1.0, value=0.7, step=0.1)
+
+# Generate button
+if st.button("🚀 Generate Text"):
+    if user_input.strip():
+        st.subheader("📌 Generated Response:")
+        result = call_gemini_api(user_input, model, max_tokens, temperature)
+        st.write(result)
+    else:
+        st.warning("⚠️ Please enter a prompt before generating text.")
+
+# Footer
+st.markdown("---")
+st.caption("🔹 *Powered by Gemini AI* | 🔹 *Developed with Streamlit*")