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app.py

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+import os
+import io
+from PIL import Image
+import base64 
+from dotenv import load_dotenv, find_dotenv
+import requests, json
+import gradio as gr
+
+
+# read local .env file
+_ = load_dotenv(find_dotenv()) 
+hf_api_key = os.environ['HF_API_KEY']
+
+
+# Helper functions
+#Image-to-text endpoint
+def get_completion(inputs, parameters=None, ENDPOINT_URL=os.environ['HF_API_ITT_BASE']):
+    headers = {
+      "Authorization": f"Bearer {hf_api_key}",
+      "Content-Type": "application/json"
+    }
+    data = { "inputs": inputs }
+    if parameters is not None:
+        data.update({"parameters": parameters})
+    response = requests.request("POST",
+                                ENDPOINT_URL,
+                                headers=headers,
+                                data=json.dumps(data))
+    return json.loads(response.content.decode("utf-8"))
+
+#Image-to-text endpoint
+def image_to_base64_str(pil_image):
+    byte_arr = io.BytesIO()
+    pil_image.save(byte_arr, format='PNG')
+    byte_arr = byte_arr.getvalue()
+    return str(base64.b64encode(byte_arr).decode('utf-8'))
+
+# Captioning function
+def captioner(image):
+    base64_image = image_to_base64_str(image)
+    result = get_completion(base64_image)
+    return result[0]['generated_text']
+
+# Interface
+gr.close_all()
+demo = gr.Interface(fn=captioner,
+                    inputs=[gr.Image(label="Upload image", type="pil")],
+                    outputs=[gr.Textbox(label="Caption")],
+                    title="Image Captioning with BLIP",
+                    description="Caption any image using the BLIP model",
+                    allow_flagging="never",
+                    examples=["bird.jpg", "dogs.jpg", "girl.jpg"])
+
+demo.launch(share=True)