Create app.py

app.py

@@ -0,0 +1,62 @@
+import gradio as gr
+from openai import OpenAI
+import base64
+from io import BytesIO
+
+def analyze_plant_image(image, api_key):
+    try:
+        client = OpenAI(
+            base_url="https://openrouter.ai/api/v1",
+            api_key=api_key,
+        )
+        
+        # Convert PIL Image to base64
+        buffered = BytesIO()
+        image.save(buffered, format="JPEG")
+        encoded_image = base64.b64encode(buffered.getvalue()).decode('utf-8')
+        
+        image_url = f"data:image/jpeg;base64,{encoded_image}"
+        
+        completion = client.chat.completions.create(
+            model="opengvlab/internvl3-14b:free",
+            messages=[
+                {
+                    "role": "user",
+                    "content": [
+                        {
+                            "type": "text",
+                            "text": "Identify this plant, provide care instructions, and diagnose any health issues visible in the image."
+                        },
+                        {
+                            "type": "image_url",
+                            "image_url": {
+                                "url": image_url
+                            }
+                        }
+                    ]
+                }
+            ]
+        )
+        
+        return completion.choices[0].message.content
+    
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
+
+# Create the Gradio interface
+interface = gr.Interface(
+    fn=analyze_plant_image,
+    inputs=[
+        gr.Image(label="Upload Plant Image"),
+        gr.Textbox(type="password", label="OpenRouter API Key")
+    ],
+    outputs=gr.Textbox(label="Analysis Result"),
+    title="PlantPal: Your AI-Powered Plant Care Assistant",
+    description="""
+    Upload an image of your plant and enter your OpenRouter API key to get started.
+    If you don't have an API key, you can get one from [OpenRouter](https://openrouter.ai/).
+    """
+)
+
+# Launch the app
+interface.launch()