Create app.py

app.py

@@ -0,0 +1,80 @@
+import gradio as gr
+from openai import OpenAI
+
+# Function to initialize the client with the provided API key
+def initialize_client(api_key):
+    client = OpenAI(
+        base_url="https://openrouter.ai/api/v1",
+        api_key=api_key
+    )
+    return client
+
+# Function to analyze environmental impact using Gemini 2.5 Pro
+def analyze_environmental_impact(api_key, image_url=None, location=None, product_info=None):
+    client = initialize_client(api_key)  # Initialize client with the user's API key
+    
+    messages = []
+
+    if image_url:
+        messages.append({
+            "role": "user",
+            "content": [
+                {"type": "text", "text": "Analyze the environmental impact of this image."},
+                {"type": "image_url", "image_url": {"url": image_url}}
+            ]
+        })
+    
+    if location:
+        messages.append({
+            "role": "user",
+            "content": [{"type": "text", "text": f"Analyze the environmental impact of {location}."}]
+        })
+    
+    if product_info:
+        messages.append({
+            "role": "user",
+            "content": [{"type": "text", "text": f"Analyze the environmental impact of this product: {product_info}."}]
+        })
+    
+    # Call the model for environmental analysis
+    try:
+        completion = client.chat.completions.create(
+            extra_headers={
+                "HTTP-Referer": "<YOUR_SITE_URL>",  # Optional
+                "X-Title": "<YOUR_SITE_NAME>",      # Optional
+            },
+            model="google/gemini-2.5-pro-exp-03-25:free",
+            messages=messages
+        )
+
+        response = completion.choices[0].message.content
+        return response
+
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Gradio interface
+def gradio_interface(api_key, image, location, product_info):
+    image_url = image.name if image else None
+    result = analyze_environmental_impact(api_key, image_url=image_url, location=location, product_info=product_info)
+    return result
+
+# Create Gradio inputs and outputs
+api_key_input = gr.Textbox(label="Enter Your OpenRouter API Key", type="text")
+image_input = gr.Image(label="Upload an Image (Optional)", type="file")
+location_input = gr.Textbox(label="Enter Location for Environmental Impact (Optional)", type="text")
+product_info_input = gr.Textbox(label="Enter Product Information (Optional)", type="text")
+
+output = gr.Textbox(label="Environmental Impact Analysis Output", lines=10)
+
+# Create Gradio interface
+app = gr.Interface(
+    fn=gradio_interface,
+    inputs=[api_key_input, image_input, location_input, product_info_input],
+    outputs=output,
+    title="Smart Environmental Impact Analyzer",
+    description="Analyze environmental impact based on images, location, or product information. Please provide your OpenRouter API key."
+)
+
+# Launch the Gradio app
+app.launch()