Update app.py

app.py

@@ -1,6 +1,29 @@
-import gradio as gr
+import os
+import io
+from IPython.display import Image, display, HTML
+from PIL import Image
+import base64 
+from dotenv import load_dotenv, find_dotenv
+_ = load_dotenv(find_dotenv()) # read local .env file
+hf_api_key = os.environ['HF_API_KEY']
+# Helper function
+import requests, json
 
-gr.load("models/Falconsai/text_summarization").launch()
+#Summarization endpoint
+def get_completion(inputs, parameters=None,ENDPOINT_URL=os.environ['HF_API_SUMMARY_BASE']): 
+    headers = {
+      "Authorization": f"Bearer {hf_api_key}",
+      "Content-Type": "application/json"
+    }
+    data = { "inputs": inputs }
+    if parameters is not None:
+        data.update({"parameters": parameters})
+    response = requests.request("POST",
+                                ENDPOINT_URL, headers=headers,
+                                data=json.dumps(data)
+                               )
+    return json.loads(response.content.decode("utf-8"))
+    import gradio as gr
 
 def summarize(input):
     output = get_completion(input)
@@ -10,6 +33,7 @@ gr.close_all()
 demo = gr.Interface(fn=summarize, 
                     inputs=[gr.Textbox(label="Text to summarize", lines=6)],
                     outputs=[gr.Textbox(label="Result", lines=3)],
-                    title="Text summarization with Falconsai",
-                    description="Summarize any text using the `Falconsai/text_summarization` model under the hood!"
-                   )
+                    title="Text summarization with distilbart-cnn",
+                    description="Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!"
+                   )
+