Delete app.py

app.py

@@ -1,129 +0,0 @@
-import gradio as gr
-import os
-from openai import OpenAI
-import re
-
-def extract_medicine_names(api_key, image_path, model_choice):
-    """
-    Extract medicine names from a prescription image using OpenRouter API
-    """
-    if not api_key or api_key.strip() == "":
-        return "Please provide a valid OpenRouter API key."
-    
-    if not image_path:
-        return "Please upload an image."
-    
-    try:
-        # Initialize the OpenAI client with OpenRouter base URL
-        client = OpenAI(
-            base_url="https://openrouter.ai/api/v1",
-            api_key=api_key,
-        )
-        
-        # Select the model based on user's choice
-        if model_choice == "Llama 4 Maverick":
-            model = "meta-llama/llama-4-maverick:free"
-        else:  # Default to Kimi VL
-            model = "moonshotai/kimi-vl-a3b-thinking:free"
-        
-        # Prepare image for API
-        with open(image_path, "rb") as image_file:
-            import base64
-            image_data = base64.b64encode(image_file.read()).decode("utf-8")
-            
-        # Create the completion
-        completion = client.chat.completions.create(
-            extra_headers={
-                "HTTP-Referer": "https://medicine-extractor-app.com",
-                "X-Title": "Medicine Name Extractor",
-            },
-            model=model,
-            messages=[
-                {
-                    "role": "system",
-                    "content": "You are a specialized medical assistant. Your task is to analyze prescription images and extract ONLY the names of medicines/medications. Return them as a clear, numbered list without any other commentary. If you cannot identify any medicine names, state that clearly."
-                },
-                {
-                    "role": "user",
-                    "content": [
-                        {
-                            "type": "text",
-                            "text": "Please extract and list ONLY the names of medicines or medications from this prescription image."
-                        },
-                        {
-                            "type": "image_url",
-                            "image_url": {
-                                "url": f"data:image/jpeg;base64,{image_data}"
-                            }
-                        }
-                    ]
-                }
-            ]
-        )
-        
-        # Get the response
-        result = completion.choices[0].message.content
-        
-        # Process to ensure we're only returning medicine names
-        # This is a basic processing step - the system prompt should already help focus the response
-        if "no medicine" in result.lower() or "cannot identify" in result.lower():
-            return "No medicine names were identified in the prescription image."
-        
-        return result
-        
-    except Exception as e:
-        return f"Error: {str(e)}"
-
-# Define the Gradio interface
-with gr.Blocks(title="Medicine Name Extractor", theme=gr.themes.Ocean()) as app:
-    gr.Markdown("# Medicine Name Extractor")
-    gr.Markdown("Upload a prescription image and the app will extract medication names using AI vision models.")
-    
-    with gr.Row():
-        with gr.Column():
-            api_key = gr.Textbox(
-                label="OpenRouter API Key", 
-                placeholder="Enter your OpenRouter API key here",
-                type="password"
-            )
-            
-            model_choice = gr.Radio(
-                ["Llama 4 Maverick", "Kimi VL"], 
-                label="Select AI Model",
-                value="Kimi VL"
-            )
-            
-            image_input = gr.Image(
-                label="Upload Prescription Image",
-                type="filepath"
-            )
-            
-            submit_btn = gr.Button("Extract Medicine Names", variant="primary")
-        
-        with gr.Column():
-            output = gr.Textbox(
-                label="Extracted Medicine Names",
-                lines=10
-            )
-    
-    # Handle the submission
-    submit_btn.click(
-        fn=extract_medicine_names,
-        inputs=[api_key, image_input, model_choice],
-        outputs=output
-    )
-    
-    gr.Markdown("""
-    ## How to use
-    1. Enter your OpenRouter API key
-    2. Select an AI vision model
-    3. Upload a clear image of a medical prescription
-    4. Click "Extract Medicine Names"
-    
-    ## Privacy Note
-    Your prescription images are processed securely. No data is stored on our servers.
-    """)
-
-# Launch the app
-if __name__ == "__main__":
-    app.launch()