Consolidate examples

Signed-off-by: Mattt Zmuda <[email protected]>

Author: mattt

README.md

@@ -42,12 +42,15 @@ Create a new Python file and add the following code:
 ['https://replicate.com/api/models/stability-ai/stable-diffusion/files/50fcac81-865d-499e-81ac-49de0cb79264/out-0.png']
 ```
 
-Some models, like [methexis-inc/img2prompt](https://replicate.com/methexis-inc/img2prompt), receive images as inputs. To pass a file as an input, use a file handle or URL:
+Some models, like [andreasjansson/blip-2](https://replicate.com/andreasjansson/blip-2), have files as inputs.
+To run a model that takes a file input,
+pass a URL to a publicly accessible file.
+Or, for smaller files (<10MB), you can pass a file handle directly.
 
 ```python
 >>> output = replicate.run(
-        "salesforce/blip:2e1dddc8621f72155f24cf2e0adbde548458d3cab9f00c0139eea840d0ac4746",
-        input={"image": open("path/to/mystery.jpg", "rb")},
+        "andreasjansson/blip-2:f677695e5e89f8b236e52ecd1d3f01beb44c34606419bcc19345e046d8f786f9",
+        input={ "image": open("path/to/mystery.jpg") }
     )
 
 "an astronaut riding a horse"
@@ -79,28 +82,6 @@ Some models, like [methexis-inc/img2prompt](https://replicate.com/methexis-inc/i
 > print(results)
 > ```
 
-To run a model that takes a file input, pass a URL to a publicly accessible file. Or, for smaller files (<10MB), you can convert file data into a base64-encoded data URI and pass that directly:
-
-```
-# Run andreasjansson/blip-2:f677695e by providing an image from local file system which is base64 encoded by files.py
-import replicate
-import base64
-
-# This reads an example image `gg_bridge.jpeg` from current working directory into a buffer and into the prediction request 
-with open("gg_bridge.jpeg", "rb") as image_file:
-    output = replicate.run(
-        "andreasjansson/blip-2:f677695e5e89f8b236e52ecd1d3f01beb44c34606419bcc19345e046d8f786f9",
-        input={
-            "image": image_file,
-            "caption": False,
-            "question": "what body of water does this bridge cross?",
-            "temperature": 1,
-            "use_nucleus_sampling": False
-        }
-    )
-    print(output)
-```
-
 ## Run a model and stream its output
 
 Replicate’s API supports server-sent event streams (SSEs) for language models.