Create app.py

app.py

@@ -0,0 +1,44 @@
+import gradio as gr
+from groq import Groq
+import base64
+
+client = Groq(api_key = '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')
+
+def encode_image(image_path) : 
+
+    with open(image_path , 'rb') as image_file : return base64.b64encode(image_file.read()).decode('utf-8')
+
+def analyze_image(image_path , prompt) : 
+
+    base64_image = encode_image(image_path)
+
+    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 = 'llama-3.2-90b-vision-preview'
+    )
+
+    return chat_completion.choices[0].message.content
+demo = gr.Interface(
+    fn=analyze_image,
+    inputs=[
+        gr.Image(type = 'filepath') ,  
+        gr.Textbox(label = 'Prompt' , placeholder = 'Describe the Image' )
+    ],
+    outputs = 'text'
+)
+
+demo.launch()