update

app.py

@@ -1,27 +1,21 @@
-from flask import Flask, request, jsonify
+import gradio as gr
 from huggingface_hub import InferenceClient
 
-app = Flask(__name__)
+# Crear el cliente SIN API KEY
+client = InferenceClient(model="google/vit-base-patch16-224")
 
-client = InferenceClient()
+def classify(img):
+    # Llamar a la inferencia nativa
+    result = client.image_classification(img)
+    return {item["label"]: item["score"] for item in result}
 
-@app.route("/predict", methods=["POST"])
-def predict():
-    if "file" not in request.files:
-        return jsonify({"error": "Upload an image"}), 400
+# UI mínima garantizada
+demo = gr.Interface(
+    fn=classify,
+    inputs=gr.Image(type="filepath"),
+    outputs=gr.Label(),
+    title="🔥 HF Free Model Test (No API Key)"
+)
 
-    img = request.files["file"].read()
+demo.launch()
 
-    result = client.image_classification(
-        model="google/vit-base-patch16-224",
-        inputs=img
-    )
-
-    return jsonify(result)
-
-@app.route("/")
-def home():
-    return "Running vit-base-patch16-224 Image Classifier 🚀"
-
-if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=7860)