Update app.py

app.py

@@ -1,22 +1,12 @@
-import gradio as gr
-from transformers import BlipProcessor, BlipForConditionalGeneration
-from PIL import Image
+import requests
 
-processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
-model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
+API_URL = "https://api-inference.huggingface.co/models/Salesforce/blip-image-captioning-base"
+headers = {"Authorization": "Bearer hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"}
 
-def generate_caption(image):
-    inputs = processor(image, return_tensors="pt")
-    outputs = model.generate(**inputs)
-    caption = processor.decode(outputs[0], skip_special_tokens=True)
-    return caption
+def query(filename):
+    with open(filename, "rb") as f:
+        data = f.read()
+    response = requests.post(API_URL, headers=headers, data=data)
+    return response.json()
 
-interface = gr.Interface(
-    fn=generate_caption,
-    inputs=gr.Image(type="pil"),
-    outputs="text",
-    title="Image-to-Text Captioning",
-    description="Upload an image to generate a caption!"
-)
-
-interface.launch()
+output = query("cats.jpg")