Create app.py

app.py

@@ -0,0 +1,73 @@
+import gradio as gr
+import google.generativeai as genai
+from PIL import Image
+import os
+
+# Direct API key placement (NOT RECOMMENDED)
+API_KEY = 'AIzaSyBMZrhMXRpQKp7M-JcN2Qk73afeta5Mv5Y'
+
+def extract_malayalam_text(image):
+    """
+    Extract handwritten Malayalam text from an image using Gemini 2.0 Flash
+    
+    Args:
+        image (PIL.Image): Uploaded image
+    
+    Returns:
+        str: Extracted text from the image
+    """
+    # Validate input
+    if image is None:
+        return "Please upload an image first."
+    
+    try:
+        # Configure the Gemini API 
+        genai.configure(api_key=API_KEY)
+        
+        # Use Gemini 2.0 Flash model
+        model = genai.GenerativeModel('gemini-2.0-flash')
+        
+        # Highly specific prompt for Malayalam text extraction
+        response = model.generate_content(
+            [
+                "CRITICAL INSTRUCTIONS: "
+                "This is a handwritten Malayalam grocery list. "
+                "You MUST extract the text ONLY in Malayalam script. "
+                "Rules for extraction: "
+                "1. Use pure Malayalam Unicode characters "
+                "2. Maintain original handwriting style "
+                "3. If any text is unclear, mark with [uncertain] "
+                "4. Do not translate or modify original text "
+                "5. Preserve exact Malayalam script as written", 
+                image
+            ],
+            generation_config=genai.types.GenerationConfig(
+                temperature=0.1,  # Ultra-low temperature for precise extraction
+                max_output_tokens=300  # Adjust based on expected list length
+            )
+        )
+        
+        # Return the extracted text
+        extracted_text = response.text
+        
+        # Additional validation
+        if not any('\u0D00' <= char <= '\u0D7F' for char in extracted_text):
+            return "No Malayalam characters detected. Please check the image quality."
+        
+        return extracted_text
+    
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
+# Create Gradio Interface
+demo = gr.Interface(
+    fn=extract_malayalam_text,
+    inputs=gr.Image(type="pil", label="Upload Malayalam Grocery List Image"),
+    outputs=gr.Textbox(label="Extracted Malayalam Text", lines=10),
+    title="Malayalam Handwritten Text Extractor",
+    description="Upload a handwritten Malayalam grocery list image for text extraction."
+)
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()