Update app.py

app.py

@@ -15,66 +15,64 @@ from consts import ModelSize
 import gradio as gr
 
 def greet(name):
+   
+    return "Hello " + name + "!!"
+
     app = Flask(__name__)
     CORS(app)
     print("--> Starting DALL-E Server. This might take up to two minutes.")
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
-
-
-app = Flask(__name__)
-CORS(app)
-print("--> Starting DALL-E Server. This might take up to two minutes.")
-
-from dalle_model import DalleModel
-dalle_model = None
-
-parser = argparse.ArgumentParser(description = "A DALL-E app to turn your textual prompts into visionary delights")
-parser.add_argument("--port", type=int, default=8000, help = "backend port")
-parser.add_argument("--model_version", type = parse_arg_dalle_version, default = ModelSize.MINI, help = "Mini, Mega, or Mega_full")
-parser.add_argument("--save_to_disk", type = parse_arg_boolean, default = False, help = "Should save generated images to disk")
-args = parser.parse_args()
-
-@app.route("/dalle", methods=["POST"])
-@cross_origin()
-def generate_images_api():
-    json_data = request.get_json(force=True)
-    text_prompt = json_data["text"]
-    num_images = json_data["num_images"]
-    generated_imgs = dalle_model.generate_images(text_prompt, num_images)
-
-    generated_images = []
-    if args.save_to_disk: 
-        dir_name = os.path.join(IMAGES_OUTPUT_DIR,f"{time.strftime('%Y-%m-%d_%H:%M:%S')}_{text_prompt}")
-        Path(dir_name).mkdir(parents=True, exist_ok=True)
-    
-    for idx, img in enumerate(generated_imgs):
+    from dalle_model import DalleModel
+    dalle_model = None
+
+    parser = argparse.ArgumentParser(description = "A DALL-E app to turn your textual prompts into visionary delights")
+    parser.add_argument("--port", type=int, default=8000, help = "backend port")
+    parser.add_argument("--model_version", type = parse_arg_dalle_version, default = ModelSize.MINI, help = "Mini, Mega, or Mega_full")
+    parser.add_argument("--save_to_disk", type = parse_arg_boolean, default = False, help = "Should save generated images to disk")
+    args = parser.parse_args()
+
+    @app.route("/dalle", methods=["POST"])
+    @cross_origin()
+    def generate_images_api():
+        json_data = request.get_json(force=True)
+        text_prompt = json_data["text"]
+        num_images = json_data["num_images"]
+        generated_imgs = dalle_model.generate_images(text_prompt, num_images)
+
+        generated_images = []
         if args.save_to_disk: 
-            img.save(os.path.join(dir_name, f'{idx}.jpeg'), format="JPEG")
+            dir_name = os.path.join(IMAGES_OUTPUT_DIR,f"{time.strftime('%Y-%m-%d_%H:%M:%S')}_{text_prompt}")
+            Path(dir_name).mkdir(parents=True, exist_ok=True)
+    
+        for idx, img in enumerate(generated_imgs):
+            if args.save_to_disk: 
+                img.save(os.path.join(dir_name, f'{idx}.jpeg'), format="JPEG")
 
-        buffered = BytesIO()
-        img.save(buffered, format="JPEG")
-        img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
-        generated_images.append(img_str)
+            buffered = BytesIO()
+            img.save(buffered, format="JPEG")
+            img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
+            generated_images.append(img_str)
 
-    print(f"Created {num_images} images from text prompt [{text_prompt}]")
-    return jsonify(generated_images)
+        print(f"Created {num_images} images from text prompt [{text_prompt}]")
+        return jsonify(generated_images)
 
 
-@app.route("/", methods=["GET"])
-@cross_origin()
-def health_check():
-    return jsonify(success=True)
+    @app.route("/", methods=["GET"])
+    @cross_origin()
+    def health_check():
+        return jsonify(success=True)
 
 
-with app.app_context():
-    dalle_model = DalleModel(args.model_version)
-    dalle_model.generate_images("warm-up", 1)
-    print("--> DALL-E Server is up and running!")
-    print(f"--> Model selected - DALL-E {args.model_version}")
+    with app.app_context():
+        dalle_model = DalleModel(args.model_version)
+        dalle_model.generate_images("warm-up", 1)
+        print("--> DALL-E Server is up and running!")
+        print(f"--> Model selected - DALL-E {args.model_version}")
 
 
-if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=args.port, debug=False)
+    if __name__ == "__main__":
+        app.run(host="0.0.0.0", port=args.port, debug=False)
+    
+    
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()