Spaces:
Sleeping
Sleeping
Nils Durner
commited on
Commit
·
1cfc216
1
Parent(s):
0008662
add GPT-4V support
Browse files
app.py
CHANGED
@@ -1,17 +1,51 @@
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import gradio as gr
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import
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import os
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import openai
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dump_controls = False
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log_to_console = False
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def add_text(history, text):
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history = history + [(text, None)]
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return history, gr.Textbox(value="", interactive=False)
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-
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def add_file(history, file):
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with open(file.name, mode="rb") as f:
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content = f.read()
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@@ -28,6 +62,15 @@ def add_file(history, file):
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return history
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def submit_text(txt_value):
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return add_text([chatbot, txt_value], [chatbot, txt_value])
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@@ -61,16 +104,35 @@ def bot(message, history, oai_key, system_prompt, seed, temperature, max_tokens,
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if seed:
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seed_i = int(seed)
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history_openai_format = []
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if system_prompt:
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history_openai_format.append({"role": "system", "content": system_prompt})
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for human, assi in history:
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if human is not None:
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-
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if assi is not None:
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history_openai_format.append({"role": "assistant", "content": assi})
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if message:
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-
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if log_to_console:
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print(f"br_prompt: {str(history_openai_format)}")
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@@ -101,7 +163,7 @@ with gr.Blocks() as demo:
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with gr.Accordion("Settings"):
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oai_key = gr.Textbox(label="OpenAI API Key", elem_id="oai_key")
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model = gr.Dropdown(label="Model", value="gpt-4-1106-preview", allow_custom_value=True, elem_id="model",
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choices=["gpt-4-1106-preview", "gpt-4", "gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-3.5-turbo-1106"])
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system_prompt = gr.TextArea("You are a helpful AI.", label="System Prompt", lines=3, max_lines=250, elem_id="system_prompt")
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seed = gr.Textbox(label="Seed", elem_id="seed")
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temp = gr.Slider(0, 1, label="Temperature", elem_id="temp", value=1)
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@@ -155,6 +217,7 @@ with gr.Blocks() as demo:
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with gr.Row():
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btn = gr.UploadButton("📁 Upload", size="sm")
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undo_btn = gr.Button("↩️ Undo")
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undo_btn.click(undo, inputs=[chatbot], outputs=[chatbot])
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@@ -171,5 +234,6 @@ with gr.Blocks() as demo:
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)
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txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
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file_msg = btn.upload(add_file, [chatbot, btn], [chatbot], queue=False, postprocess=False)
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demo.queue().launch()
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import gradio as gr
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import base64
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import os
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import openai
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dump_controls = False
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log_to_console = False
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# constants
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image_embed_prefix = "🖼️🆙 "
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def encode_image(image_data):
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"""Generates a prefix for image base64 data in the required format for the
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four known image formats: png, jpeg, gif, and webp.
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Args:
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image_data: The image data, encoded in base64.
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Returns:
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A string containing the prefix.
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"""
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# Get the first few bytes of the image data.
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magic_number = image_data[:4]
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# Check the magic number to determine the image type.
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if magic_number.startswith(b'\x89PNG'):
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image_type = 'png'
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elif magic_number.startswith(b'\xFF\xD8'):
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image_type = 'jpeg'
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elif magic_number.startswith(b'GIF89a'):
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image_type = 'gif'
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elif magic_number.startswith(b'RIFF'):
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if image_data[8:12] == b'WEBP':
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image_type = 'webp'
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else:
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# Unknown image type.
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raise Exception("Unknown image type")
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else:
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# Unknown image type.
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raise Exception("Unknown image type")
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return f"data:image/{image_type};base64,{base64.b64encode(image_data).decode('utf-8')}"
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def add_text(history, text):
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history = history + [(text, None)]
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return history, gr.Textbox(value="", interactive=False)
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def add_file(history, file):
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with open(file.name, mode="rb") as f:
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content = f.read()
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return history
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def add_img(history, file):
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if log_to_console:
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print(f"add_img {file.name}")
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history = history + [(image_embed_prefix + file.name, None)]
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gr.Info(f"Image added as {file.name}")
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return history
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def submit_text(txt_value):
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return add_text([chatbot, txt_value], [chatbot, txt_value])
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if seed:
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seed_i = int(seed)
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if log_to_console:
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print(f"bot history: {str(history)}")
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history_openai_format = []
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user_msg_parts = []
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if system_prompt:
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history_openai_format.append({"role": "system", "content": system_prompt})
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for human, assi in history:
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if human is not None:
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if human.startswith(image_embed_prefix):
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with open(human.lstrip(image_embed_prefix), mode="rb") as f:
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content = f.read()
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user_msg_parts.append({"type": "image_url",
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"image_url":{"url": encode_image(content)}})
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else:
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user_msg_parts.append({"type": "text", "text": human})
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if assi is not None:
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if user_msg_parts:
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history_openai_format.append({"role": "user", "content": user_msg_parts})
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user_msg_parts = []
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history_openai_format.append({"role": "assistant", "content": assi})
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if message:
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user_msg_parts.append({"type": "text", "text": human})
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if user_msg_parts:
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history_openai_format.append({"role": "user", "content": user_msg_parts})
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if log_to_console:
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print(f"br_prompt: {str(history_openai_format)}")
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with gr.Accordion("Settings"):
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oai_key = gr.Textbox(label="OpenAI API Key", elem_id="oai_key")
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model = gr.Dropdown(label="Model", value="gpt-4-1106-preview", allow_custom_value=True, elem_id="model",
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choices=["gpt-4-1106-preview", "gpt-4", "gpt-4-vision-preview", "gpt-3.5-turbo", "gpt-3.5-turbo-16k", "gpt-3.5-turbo-1106"])
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system_prompt = gr.TextArea("You are a helpful AI.", label="System Prompt", lines=3, max_lines=250, elem_id="system_prompt")
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seed = gr.Textbox(label="Seed", elem_id="seed")
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temp = gr.Slider(0, 1, label="Temperature", elem_id="temp", value=1)
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with gr.Row():
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btn = gr.UploadButton("📁 Upload", size="sm")
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img_btn = gr.UploadButton("🖼️ Upload", size="sm", file_types=["image"])
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undo_btn = gr.Button("↩️ Undo")
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undo_btn.click(undo, inputs=[chatbot], outputs=[chatbot])
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)
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txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
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file_msg = btn.upload(add_file, [chatbot, btn], [chatbot], queue=False, postprocess=False)
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img_msg = img_btn.upload(add_img, [chatbot, img_btn], [chatbot], queue=False, postprocess=False)
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demo.queue().launch()
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