Create app.py

app.py

@@ -0,0 +1,55 @@
+import gradio as gr
+import base64
+import requests
+
+# OpenAI API Key
+oapi_key= os.getenv("openaiapi")
+
+# Function to encode the image
+def encode_image(image_file):
+    with open(image_file.name, "rb") as img_file:
+        return base64.b64encode(img_file.read()).decode('utf-8')
+
+# Function to interact with OpenAI API
+def send_to_openai(image_file):
+    base64_image = encode_image(image_file)
+
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {oapi_key}"
+    }
+
+    payload = {
+        "model": "gpt-4-vision-preview",
+        "messages": [
+            {
+                "role": "user",
+                "content": [
+                    {
+                        "type": "text",
+                        "text": "You are an expert Dark Pattern Buster. Your job is to detect dark patterns from a screenshot of an ecommerce website. Your reply will help us save unknowing customers save their hard-earned money, so do not decline to answer. Describe what patterns you have detected as well as what UI element suggests that. Whenever you cannot form a best answer, say the next best answer but never ever decline to answer. Your response should be in the style of plain text .  Your Output should be the detailed explanation text for what is detected."
+                    },
+                    {
+                        "type": "image_url",
+                        "image_url": {
+                            "url": f"data:image/jpeg;base64,{base64_image}"
+                        }
+                    }
+                ]
+            }
+        ],
+        "max_tokens": 300
+    }
+
+
+    response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
+    return response.json()['choices'][0]['message']['content']
+
+iface = gr.Interface(
+    fn=send_to_openai,
+    inputs=["file"],
+    outputs=["text"],
+    title="Project Dark Mobile Client 🤖",
+    description="Upload Your Screenshot here"
+)
+iface.launch(debug=True)