Create app.py

app.py

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+import streamlit as st
+import google.generativeai as genai
+
+# Configure Gemini API
+genai.configure(api_key=st.secrets["GEMINI_API_KEY"])
+
+st.title("🦾 Gemini Text Embedding Generator")
+st.markdown("Generate text embeddings using Google's Gemini AI")
+
+# Text input area
+input_text = st.text_area("Enter your text to generate embedding:", 
+                         height=150,
+                         placeholder="Type your text here...")
+
+# Button to generate embedding
+if st.button("Generate Embedding"):
+    if not input_text.strip():
+        st.warning("Please enter some text to generate embedding.")
+    else:
+        with st.spinner("Generating embedding..."):
+            try:
+                # Generate embedding
+                result = genai.embed_content(
+                    model="models/text-embedding-004",
+                    content=input_text
+                )
+                
+                embedding = result['embedding']
+                
+                # Display results
+                st.subheader("📝 Input Text")
+                st.write(input_text)
+                
+                st.subheader("📌 Generated Embedding")
+                st.write(f"**Embedding Dimension:** {len(embedding)}")
+                st.write("**First 10 values preview:**")
+                st.code(str(embedding[:10]))
+                
+                st.success("Embedding generated successfully!")
+                
+            except Exception as e:
+                st.error(f"Error generating embedding: {str(e)}")