Delete app.py

app.py

@@ -1,98 +0,0 @@
-import gradio as gr
-import base64
-from groq import Groq
-import tempfile
-import os
-
-def encode_image(image_path):
-    """Convert an image to base64 encoding"""
-    with open(image_path, "rb") as image_file:
-        return base64.b64encode(image_file.read()).decode('utf-8')
-
-def extract_medicines(image, api_key):
-    """Extract medicine names from prescription image using Groq API"""
-    if not api_key:
-        return "Please provide a Groq API key"
-    
-    if image is None:
-        return "Please upload a prescription image"
-    
-    try:
-        # Save the uploaded image to a temporary file
-        with tempfile.NamedTemporaryFile(suffix='.jpg', delete=False) as temp_image:
-            image_path = temp_image.name
-            image.save(image_path)
-        
-        # Encode the image to base64
-        base64_image = encode_image(image_path)
-        
-        # Clean up the temporary file
-        os.unlink(image_path)
-        
-        # Initialize Groq client with the provided API key
-        client = Groq(api_key=api_key)
-        
-        # Create the prompt specifically asking for medicine names only
-        prompt = "This is an image of a medical prescription. Extract and list ONLY the names of medicines/drugs/medications from this prescription. Do not include dosages, frequencies, or other information. Return just a simple list of medicine names, one per line."
-        
-        # Make the API call
-        chat_completion = client.chat.completions.create(
-            messages=[
-                {
-                    "role": "user",
-                    "content": [
-                        {"type": "text", "text": prompt},
-                        {
-                            "type": "image_url",
-                            "image_url": {
-                                "url": f"data:image/jpeg;base64,{base64_image}",
-                            },
-                        },
-                    ],
-                }
-            ],
-            model="meta-llama/llama-4-scout-17b-16e-instruct",
-        )
-        
-        # Return the extracted medicine names
-        return chat_completion.choices[0].message.content
-    
-    except Exception as e:
-        return f"An error occurred: {str(e)}"
-
-# Create the Gradio interface
-with gr.Blocks(title="Prescription Medicine Extractor", theme=gr.themes.Ocean()) as app:
-    gr.Markdown("# Medicine Name Extractor from Prescriptions")
-    gr.Markdown("Upload a prescription image and enter your Groq API key to extract medicine names")
-    
-    with gr.Row():
-        with gr.Column():
-            api_key_input = gr.Textbox(
-                label="Groq API Key", 
-                placeholder="Enter your Groq API key here", 
-                type="password"
-            )
-            image_input = gr.Image(label="Upload Prescription Image", type="pil")
-            extract_button = gr.Button("Extract Medicine Names")
-        
-        with gr.Column():
-            output = gr.Textbox(label="Extracted Medicine Names", lines=10)
-    
-    extract_button.click(
-        fn=extract_medicines, 
-        inputs=[image_input, api_key_input], 
-        outputs=output
-    )
-    
-    gr.Markdown("""
-    ## Instructions
-    1. Enter your Groq API key
-    2. Upload a clear image of a medical prescription
-    3. Click "Extract Medicine Names"
-    4. The application will return only the names of medicines from the prescription
-    
-    **Note:** Your API key is not stored and is only used for making requests to the Groq API.
-    """)
-
-if __name__ == "__main__":
-    app.launch()