start again

app.py

@@ -1,47 +1,12 @@
 #app.py
-import os
+
 import gradio as gr
 from gradio_client import Client
-from gradio_client.client import Job
-
-def vqa_fuyu(image_path: str, question: str, return_job: bool = False) -> str | Job:
-    try:
-        client = Client("https://adept-fuyu-8b-demo.hf.space/--replicas/9kcqv/")
-        fn = client.submit if return_job else client.predict
-        return fn(image_path, question, fn_index=3)
-    except Exception:
-        gr.Warning("The Fuyu-8B Space is currently unavailable. Please try again later.")
-        return ""
-
-def answer_question(image_path: str, question:str) -> tuple[str]:
-    jobs = [
-        vqa_fuyu(image_path, question, return_job=True),
-    ]
-    return tuple(job.result() if job else "" for job in jobs)
-
-def ask(q):
-    return q
-
-with gr.Blocks(css="style.css") as demo:
-    gr.Markdown("# Comparing VQA on image perturbation (rotation)")
-    with gr.Row():
-        with gr.Column():
-        	input_image = gr.Image(type="filepath")
-        	text_input = gr.Interface(fn=ask, inputs="text", outputs="text")
-        	run_button = gr.Button("ask question")
-        with gr.Column():
-        	out_fuyu = gr.Textbox(label="Fuyu-8B")
-
-    outputs = [
-        out_fuyu,
-    ]
-
-	run_button.click(
-		fn=answer_question,
-		inputs=[input_image,text_input],
-		outputs=outputs,
-		api_name="vqa",
-	)
 
-if __name__ == "__main__":
-    demo.queue(max_size=20).launch()
+client = Client("https://adept-fuyu-8b-demo.hf.space/--replicas/9kcqv/")
+result = client.predict(
+        "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png", # str (filepath on your computer (or URL) of image) in 'Upload your Image' Image component
+        "Howdy!",   # str  in 'Ask a Question' Textbox component
+        fn_index=3
+)
+print(result)