Update Vision-proxy/app.py

Vision-proxy/app.py

@@ -1,47 +1,25 @@
-import torch
-from PIL import Image
-from transformers import AutoProcessor, AutoModelForVision2Seq
-import gradio as gr
-import os
-
-DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
-
-token = os.environ.get("HF_TOKEN")
-
-processor = AutoProcessor.from_pretrained("HuggingFaceTB/SmolVLM-Instruct", token=token)
-model = AutoModelForVision2Seq.from_pretrained(
-    "HuggingFaceTB/SmolVLM-Instruct",
-    torch_dtype=torch.bfloat16 if DEVICE == "cuda" else torch.float32,
-    _attn_implementation="flash_attention_2" if DEVICE == "cuda" else "eager",
-    token=token
-).to(DEVICE)
-
-def describe_image(image):
-    messages = [
-        {
-            "role": "user",
-            "content": [
-                {"type": "image"},
-                {"type": "text", "text": "Describe this image in detail."}
-            ]
-        },
-    ]
-
-    prompt = processor.apply_chat_template(messages, add_generation_prompt=True)
-    inputs = processor(text=prompt, images=[image], return_tensors="pt").to(DEVICE)
-
-    with torch.no_grad():
-        generated_ids = model.generate(**inputs, max_new_tokens=500)
-
-    result = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]
-    return result
-
-demo = gr.Interface(
-    fn=describe_image,
-    inputs=gr.Image(type="pil", label="Upload an Image"),
-    outputs="text",
-    title="VISIONSAGE",
-    description="Upload an image and get a detailed description."
-)
-
-demo.launch()
+from flask import Flask, request, jsonify, send_from_directory
+from flask_cors import CORS
+import requests
+
+app = Flask(__name__, static_folder='static')
+CORS(app)  # allow all origins
+
+HF_API_URL = "https://hf.space/embed/HawkEye01/VisionSage/api/predict/"
+
+@app.route('/api/predict', methods=['POST'])
+def predict():
+    try:
+        data = request.get_json()
+        response = requests.post(HF_API_URL, json=data, headers={"Content-Type": "application/json"})
+        return jsonify(response.json())
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+# Serve HTML
+@app.route('/')
+def index():
+    return send_from_directory('static', 'index.html')
+
+if __name__ == '__main__':
+    app.run(debug=True)