Update app.py

app.py

@@ -1,13 +1,17 @@
-import cohere
-import os
-from dotenv import load_dotenv
-load_dotenv()
-COHERE_API_KEY = os.getenv('COHERE_API_KEY')
-# OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')
-co = cohere.Client(os.environ["COHERE_API_KEY"])
+inception_net = tf.keras.applications.MobileNetV2()
+response = requests.get("https://git.io/JJkYN")
+labels = response.text.split("\n")
 
-response = co.generate(
-    prompt='Please briefly explain to me how Deep Learning works on hardware devices using at most 100 words.',
-    max_tokens=200
-)
-print(response.generations[0].text)
+def classify_image(inp):
+  inp = inp.reshape((-1, 224, 224, 3))
+  inp = tf.keras.applications.mobilenet_v2.preprocess_input(inp)
+  prediction = inception_net.predict(inp).flatten()
+  confidences = {labels[i]: float(prediction[i]) for i in range(1000)}
+  return confidences
+
+demo = gr.Interface(fn=classify_image,
+             inputs=gr.Image(shape=(224, 224)),
+             outputs=gr.Label(num_top_classes=3),
+            )
+
+demo.launch()