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Update app.py
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app.py
CHANGED
@@ -1,4 +1,17 @@
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import gradio as gr
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import re
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import torch
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from transformers import pipeline
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@@ -26,7 +39,9 @@ instruction = f"""
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<|user|>
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"""
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def infer(
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prompt = f"{instruction.strip()}\n{user_prompt}</s>"
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print(f"PROMPT: {prompt}")
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outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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@@ -41,7 +56,7 @@ def infer(user_prompt):
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gr.Interface(
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fn = infer,
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inputs = [
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gr.
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],
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outputs = [
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gr.Textbox()
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import gradio as gr
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from gradio_client import Client
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fusecap_client = Client("https://noamrot-fusecap-image-captioning.hf.space/")
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def get_caption(image_in):
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fusecap_result = fusecap_client.predict(
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image_in, # str representing input in 'raw_image' Image component
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api_name="/predict"
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)
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print(fusecap_result)
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return fusecap_result
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import re
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import torch
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from transformers import pipeline
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<|user|>
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"""
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def infer(image_in):
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user_prompt = get_caption(image_in)
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prompt = f"{instruction.strip()}\n{user_prompt}</s>"
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print(f"PROMPT: {prompt}")
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outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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gr.Interface(
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fn = infer,
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inputs = [
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gr.Image(type="filepath")
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],
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outputs = [
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gr.Textbox()
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