Create app.py

app.py

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+import google.generativeai as genai
+import gradio as gr
+from PIL import Image
+import os
+
+# Set up Gemini API key
+genai.configure(api_key=os.getenv("AIzaSyAPuP4uYtWWJBzw4OsxUDltGBGN9SYXK7Y"))  # Replace with your API key
+
+def generate_poem(image, prompt, language):
+    """Generate a poem based on the image and prompt, optimized for speed."""
+    if not language:
+        return "Please select a language."
+
+    model = genai.GenerativeModel("gemini-1.5-flash")  # Use a faster model
+
+    # Convert and resize the image for faster processing
+    img = image.convert("RGB")
+    img = img.resize((256, 256))  
+
+    # Optimized short prompt
+    full_prompt = f"Generate a short poem in {language} based on this image and theme: {prompt}."
+
+    # Generate poem without streaming
+    response = model.generate_content([img, full_prompt])  
+    output_text = response.text
+
+    return output_text
+
+# Gradio UI
+iface = gr.Interface(
+    fn=generate_poem,
+    inputs=[
+        gr.Image(type="pil"),  # Directly loads as PIL object
+        gr.Textbox(label="Enter a theme for the poem (in English)"), 
+        gr.Dropdown(
+            ["Hindi", "Tamil", "Telugu", "Malayalam", "Kannada", "Marathi", "Bengali","Punjabi","Spanish","French","Japanese","German","Russian"], 
+            label="Select Output Language"
+        )
+    ],
+    outputs="text",
+    title="Multilingual Image Poetry Generator",
+    description="Upload an image, enter a theme in English, and get a poem in your chosen regional language."
+)
+
+# Run the app
+if __name__ == "__main__":
+    iface.launch()
+