testing

app.py

@@ -26,7 +26,9 @@ Check out the docs for the `/predict` endpoint below to try it out!
 
 # NOTE - we configure docs_url to serve the interactive Docs at the root path
 # of the app. This way, we can use the docs as a landing page for the app on Spaces.
-app = FastAPI(docs_url="/", description=description)
+app = FastAPI(
+    title="ChimichangApp",
+    docs_url="/", description=description)
 
 pipe = pipeline("document-question-answering", model="impira/layoutlm-document-qa")
 
@@ -45,6 +47,29 @@ pipe = pipeline("document-question-answering", model="impira/layoutlm-document-q
 #     output = pipe(image, question)
 #     return output
 
+@app.get("/hello_2")
+def read_root():
+    image = 'https://templates.invoicehome.com/invoice-template-us-neat-750px.png'
+
+    question = "What is the invoice number?"
+    output = pipe(image, question)
+    return output
+
+@app.get("/hello_3")
+def read_root():
+    image = 'https://templates.invoicehome.com/invoice-template-us-neat-750px.png'
+
+    question = "What is the invoice number?"
+    output = pipe(image, question)
+    return output
+
+@app.get("/hello_4")
+def read_root():
+    image = 'https://templates.invoicehome.com/invoice-template-us-neat-750px.png'
+
+    question = "What is the invoice number?"
+    output = pipe(image, question)
+    return output
 
 @app.get("/hello")
 def read_root():