Added Models & image recognition

app.py

@@ -1,12 +1,24 @@
 import gradio as gr
+from huggingface_hub import hf_hub_download
+from fastai.learner import load_learner
+from fastai.vision.all import *
 
-def greet(name, intensity):
-    return "Hello, " + name + "!" * int(intensity)
+learn = load_learner(hf_hub_download("lpattori/Vinchucas","model.pkl"))
 
-demo = gr.Interface(
-    fn=greet,
-    inputs=["text", "slider"],
-    outputs=["text"],
-)
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
+title = "Kissing Bug Recognizer"
+description = "Kissing Bug Recognizer trained on the CEPAVE dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+article = ""
+examples = [img for img in Path("examples").rglob("*")]
+
+inputs = gr.Image(height=512, width=512)
+outputs = gr.Label(num_top_classes=3)
+demo = gr.Interface(fn=predict,inputs=inputs,
+                    outputs=outputs,title=title,
+                    description=description,article=article,examples=examples)
 demo.launch()