Add example

app.py

@@ -7,9 +7,9 @@ from haystack import Pipeline
 
 description = """
 # Captionate ✨ 📸
-## Create Instagram captions for your pics! 
-
+### Create Instagram captions for your pics! 
 
+`OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5` and `tiiuae/falcon-7b-instruct` perform the best but try out different model to see how they react to the same prompt.
 
 Built by [Bilge Yucel](https://twitter.com/bilgeycl) using [Haystack](https://github.com/deepset-ai/haystack) 💙
 """
@@ -24,10 +24,10 @@ You will receive a descriptive text of a photo.
 Try to come up with a nice Instagram caption that has a phrase rhyming with the text. Include emojis to the caption.
                                                                                                                                    
 Descriptive text: {documents};
-Caption:
+Instagram Caption:
 """)
 
-hf_api_key = os.environ["HF_API_KEY"]
+hf_api_key = "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"
 
 def generate_caption(image_file_paths, model_name):
     captioning_pipeline = Pipeline()
@@ -41,7 +41,9 @@ with gr.Blocks(theme="monochrome") as demo:
     gr.Markdown(value=description)
     with gr.Row():
         image = gr.Image(type="filepath")
-        model_name = gr.Dropdown(["tiiuae/falcon-7b-instruct", "tiiuae/falcon-7b", "EleutherAI/gpt-neox-20b", "HuggingFaceH4/starchat-beta", "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5", "bigscience/bloom"], value="tiiuae/falcon-7b-instruct", label="Choose your model!")
+        with gr.Column():
+            model_name = gr.Dropdown(["OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5", "tiiuae/falcon-7b-instruct", "tiiuae/falcon-7b", "EleutherAI/gpt-neox-20b", "HuggingFaceH4/starchat-beta", "bigscience/bloom"], value="OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5", label="Choose your model!")
+            gr.Examples(["./whale.png"], examples_per_page=1, inputs=image, label="Click on any example") 
     submit_btn = gr.Button("✨ Captionate ✨")
     caption = gr.Textbox(label="Caption", show_copy_button=True)
     submit_btn.click(fn=generate_caption, inputs=[image, model_name], outputs=[caption])