Add function type annotations.
Browse files- app.py +25 -25
- templates.py +22 -15
app.py
CHANGED
@@ -6,9 +6,9 @@ import warnings
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import gradio as gr
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import requests
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import torch
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-
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
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-
from templates import starting_app_code, update_iframe_js, copy_snippet_js, download_code_js, load_js
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# Filter the UserWarning raised by the audio component.
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warnings.filterwarnings("ignore", message='Trying to convert audio automatically from int32 to 16-bit int format')
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@@ -30,7 +30,7 @@ API_URL = "https://api-inference.huggingface.co/models/HuggingFaceH4/zephyr-7b-b
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headers = {"Authorization": f"Bearer {HF_TOKEN}"}
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-
def init_speech_to_text_model():
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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@@ -56,19 +56,16 @@ whisper_pipe = init_speech_to_text_model()
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code_pattern = re.compile(r'```python\n(.*?)```', re.DOTALL)
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-
def query(payload):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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-
def generate_text(code, prompt):
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logger.info(f"Calling API with prompt:\n{prompt}")
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prompt = f"```python\n{code}```\nGiven the code above return only updated code for the following request:\n{prompt}\n<|assistant|>"
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params = {"max_new_tokens": 512}
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-
output = query({
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"inputs": prompt,
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"parameters": params,
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})
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if 'error' in output:
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logger.warning(f'Language model call failed: {output["error"]}')
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raise gr.Warning(f'Language model call failed: {output["error"]}')
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@@ -82,7 +79,7 @@ def generate_text(code, prompt):
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return assistant_reply, new_code, None
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-
def transcribe(audio):
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result = whisper_pipe(audio)
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return result["text"], None
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@@ -100,21 +97,22 @@ with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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gr.Markdown("## 1. Run your app in the browser!")
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-
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gr.Markdown("## 2. Customize using voice requests!")
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with gr.Row():
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with gr.Column():
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with gr.Group():
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in_audio = gr.Audio(label="Record a voice request", source='microphone', type='filepath')
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in_prompt = gr.Textbox(label="Or type a text request and press Enter",
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-
placeholder="Need an idea? Try one of these:\n- Add a button\n- Change the greeting
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out_text = gr.TextArea(label="Chat Assistant Response")
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clear_btn = gr.ClearButton([in_prompt, in_audio, out_text])
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with gr.Column():
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code_area = gr.Code(label="App Code - You can also edit directly and then click Update App",
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-
language='python', value=starting_app_code(
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update_btn = gr.Button("Update App", variant="primary")
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-
code_update_params = {'fn': None, 'inputs': code_area, 'outputs': None,
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gen_text_params = {'fn': generate_text, 'inputs': [code_area, in_prompt],
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'outputs': [out_text, code_area]}
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transcribe_params = {'fn': transcribe, 'inputs': [in_audio], 'outputs': [in_prompt, in_audio]}
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@@ -125,9 +123,9 @@ with gr.Blocks() as demo:
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with gr.Column():
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gr.Markdown("## 3. Export your app to share!")
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copy_snippet_btn = gr.Button("Copy app snippet to paste in another page")
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-
copy_snippet_btn.click(copy_notify, code_area, None, _js=copy_snippet_js(
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download_btn = gr.Button("Download app as a standalone file")
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-
download_btn.click(None, code_area, None, _js=download_code_js(
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with gr.Row():
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with gr.Column():
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gr.Markdown("## Current limitations")
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@@ -138,7 +136,7 @@ with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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gr.Markdown("## 1. Run your app in the browser!")
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-
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gr.Markdown("## 2. Customize using voice requests!")
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with gr.Row():
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with gr.Column():
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@@ -150,11 +148,12 @@ with gr.Blocks() as demo:
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clear = gr.ClearButton([in_prompt, in_audio, out_text])
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with gr.Column():
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code_area = gr.Code(label="App Code - You can also edit directly and then click Update App",
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-
language='python', value=starting_app_code(
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update_btn = gr.Button("Update App", variant="primary")
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code_update_params = {'fn': None, 'inputs': code_area, 'outputs': None,
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-
'_js': update_iframe_js(
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-
gen_text_params = {'fn': generate_text, 'inputs': [code_area, in_prompt],
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transcribe_params = {'fn': transcribe, 'inputs': [in_audio], 'outputs': [in_prompt, in_audio]}
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update_btn.click(**code_update_params)
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in_prompt.submit(**gen_text_params).then(**code_update_params)
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@@ -163,9 +162,9 @@ with gr.Blocks() as demo:
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with gr.Column():
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gr.Markdown("## 3. Export your app to share!")
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copy_snippet_btn = gr.Button("Copy app snippet to paste in another page")
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-
copy_snippet_btn.click(copy_notify, code_area, None, _js=copy_snippet_js(
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download_btn = gr.Button("Download app as a standalone file")
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download_btn.click(None, code_area, None, _js=download_code_js(
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with gr.Row():
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with gr.Column():
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gr.Markdown("## Current limitations")
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@@ -173,9 +172,10 @@ with gr.Blocks() as demo:
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gr.Markdown(
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"- Only gradio-lite apps using the python standard libraries and gradio are supported\n- The chat hasn't been tuned on gradio library data; it may make mistakes\n- The app needs to fully reload each time it is changed")
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-
stlite_tab.select(lambda: "stlite", None, selectedTab).then(None, None, None, _js=load_js(
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gradio_lite_tab.select(lambda: "gradio-lite", None, selectedTab).then(None, None, None,
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-
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demo.css = "footer {visibility: hidden}"
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if __name__ == "__main__":
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import gradio as gr
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import requests
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import torch
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+
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline, Pipeline
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+
from templates import starting_app_code, update_iframe_js, copy_snippet_js, download_code_js, load_js, DemoType
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# Filter the UserWarning raised by the audio component.
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warnings.filterwarnings("ignore", message='Trying to convert audio automatically from int32 to 16-bit int format')
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headers = {"Authorization": f"Bearer {HF_TOKEN}"}
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+
def init_speech_to_text_model() -> Pipeline:
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
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code_pattern = re.compile(r'```python\n(.*?)```', re.DOTALL)
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+
def query(payload: dict):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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+
def generate_text(code: str, prompt: str) -> (str, str, str):
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logger.info(f"Calling API with prompt:\n{prompt}")
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prompt = f"```python\n{code}```\nGiven the code above return only updated code for the following request:\n{prompt}\n<|assistant|>"
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params = {"max_new_tokens": 512}
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output = query({"inputs": prompt, "parameters": params})
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if 'error' in output:
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logger.warning(f'Language model call failed: {output["error"]}')
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raise gr.Warning(f'Language model call failed: {output["error"]}')
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return assistant_reply, new_code, None
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+
def transcribe(audio: str) -> (str, str):
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result = whisper_pipe(audio)
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return result["text"], None
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with gr.Row():
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with gr.Column():
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gr.Markdown("## 1. Run your app in the browser!")
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gr.HTML(value='<div id="stliteDemoDiv"></div>')
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gr.Markdown("## 2. Customize using voice requests!")
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with gr.Row():
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with gr.Column():
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with gr.Group():
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in_audio = gr.Audio(label="Record a voice request", source='microphone', type='filepath')
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in_prompt = gr.Textbox(label="Or type a text request and press Enter",
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+
placeholder="Need an idea? Try one of these:\n- Add a button to reverse the name\n- Change the greeting to Spanish\n- Make the button primary")
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out_text = gr.TextArea(label="Chat Assistant Response")
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clear_btn = gr.ClearButton([in_prompt, in_audio, out_text])
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with gr.Column():
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code_area = gr.Code(label="App Code - You can also edit directly and then click Update App",
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language='python', value=starting_app_code(DemoType.STREAMLIT))
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update_btn = gr.Button("Update App", variant="primary")
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code_update_params = {'fn': None, 'inputs': code_area, 'outputs': None,
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'_js': update_iframe_js(DemoType.STREAMLIT)}
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gen_text_params = {'fn': generate_text, 'inputs': [code_area, in_prompt],
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'outputs': [out_text, code_area]}
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transcribe_params = {'fn': transcribe, 'inputs': [in_audio], 'outputs': [in_prompt, in_audio]}
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with gr.Column():
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gr.Markdown("## 3. Export your app to share!")
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copy_snippet_btn = gr.Button("Copy app snippet to paste in another page")
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copy_snippet_btn.click(copy_notify, code_area, None, _js=copy_snippet_js(DemoType.STREAMLIT))
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download_btn = gr.Button("Download app as a standalone file")
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download_btn.click(None, code_area, None, _js=download_code_js(DemoType.STREAMLIT))
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with gr.Row():
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with gr.Column():
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gr.Markdown("## Current limitations")
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with gr.Row():
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with gr.Column():
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gr.Markdown("## 1. Run your app in the browser!")
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gr.HTML(value='<div id="gradioDemoDiv"></div>')
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gr.Markdown("## 2. Customize using voice requests!")
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with gr.Row():
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with gr.Column():
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clear = gr.ClearButton([in_prompt, in_audio, out_text])
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with gr.Column():
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code_area = gr.Code(label="App Code - You can also edit directly and then click Update App",
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language='python', value=starting_app_code(DemoType.GRADIO))
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update_btn = gr.Button("Update App", variant="primary")
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code_update_params = {'fn': None, 'inputs': code_area, 'outputs': None,
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'_js': update_iframe_js(DemoType.GRADIO)}
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gen_text_params = {'fn': generate_text, 'inputs': [code_area, in_prompt],
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'outputs': [out_text, code_area]}
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transcribe_params = {'fn': transcribe, 'inputs': [in_audio], 'outputs': [in_prompt, in_audio]}
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update_btn.click(**code_update_params)
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in_prompt.submit(**gen_text_params).then(**code_update_params)
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with gr.Column():
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gr.Markdown("## 3. Export your app to share!")
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copy_snippet_btn = gr.Button("Copy app snippet to paste in another page")
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copy_snippet_btn.click(copy_notify, code_area, None, _js=copy_snippet_js(DemoType.GRADIO))
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download_btn = gr.Button("Download app as a standalone file")
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download_btn.click(None, code_area, None, _js=download_code_js(DemoType.GRADIO))
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with gr.Row():
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with gr.Column():
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gr.Markdown("## Current limitations")
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gr.Markdown(
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"- Only gradio-lite apps using the python standard libraries and gradio are supported\n- The chat hasn't been tuned on gradio library data; it may make mistakes\n- The app needs to fully reload each time it is changed")
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stlite_tab.select(lambda: "stlite", None, selectedTab).then(None, None, None, _js=load_js(DemoType.STREAMLIT))
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gradio_lite_tab.select(lambda: "gradio-lite", None, selectedTab).then(None, None, None,
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_js=load_js(DemoType.GRADIO))
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demo.load(None, None, None, _js=load_js(DemoType.STREAMLIT))
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demo.css = "footer {visibility: hidden}"
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if __name__ == "__main__":
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templates.py
CHANGED
@@ -1,20 +1,27 @@
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from pathlib import Path
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gradio_lite_html_template = Path('templates/gradio-lite/gradio-lite-template.html').read_text()
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stlite_html_template = Path('templates/stlite/stlite-template.html').read_text()
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stlite_snippet_template = Path('templates/stlite/stlite-snippet-template.html').read_text()
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-
def starting_app_code(demo_type):
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if demo_type ==
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return Path('templates/gradio-lite/gradio_lite_starting_code.py').read_text()
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-
elif demo_type ==
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return Path('templates/stlite/stlite_starting_code.py').read_text().replace('`', r'\`')
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raise NotImplementedError(f'{demo_type} is not a supported demo type')
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-
def load_js(demo_type):
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-
if demo_type ==
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return f"""() => {{
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if (window.gradioLiteLoaded) {{
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return
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@@ -32,7 +39,7 @@ def load_js(demo_type):
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frame.contentWindow.document.close();
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window.gradioLiteLoaded = true;
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}}"""
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-
elif demo_type ==
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return f"""() => {{
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if (window.stliteLoaded) {{
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return
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@@ -54,8 +61,8 @@ def load_js(demo_type):
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raise NotImplementedError(f'{demo_type} is not a supported demo type')
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-
def update_iframe_js(demo_type):
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-
if demo_type ==
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# TODO: Works but is inefficient because the iframe has to be reloaded each time
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return f"""(code) => {{
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const pattern = /# APP CODE START(.*?)# APP CODE END/gs;
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@@ -77,7 +84,7 @@ def update_iframe_js(demo_type):
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frame.contentWindow.document.write(completedTemplate);
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frame.contentWindow.document.close();
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}}"""
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-
elif demo_type ==
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return f"""async (code) => {{
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async function update() {{
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const appController = document.getElementById('demo-iframe').contentWindow.window.appController;
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@@ -90,8 +97,8 @@ def update_iframe_js(demo_type):
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raise NotImplementedError(f'{demo_type} is not a supported demo type')
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-
def copy_snippet_js(demo_type):
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if demo_type ==
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return f"""async (code) => {{
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const pattern = /# APP CODE START(.*?)# APP CODE END/gs;
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const template = `<div id="KiteWindApp">\n<script type="module" crossorigin src="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.js"></script>
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@@ -103,7 +110,7 @@ def copy_snippet_js(demo_type):
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const snippet = completedTemplate;
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await navigator.clipboard.writeText(snippet);
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}}"""
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-
elif demo_type ==
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return f"""async (code) => {{
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const escapedCode = code.replace('`', String.fromCharCode(92) + '`');
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const template = `{stlite_html_template}`;
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@@ -116,8 +123,8 @@ def copy_snippet_js(demo_type):
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raise NotImplementedError(f'{demo_type} is not a supported demo type')
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-
def download_code_js(demo_type):
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-
if demo_type ==
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return f"""(code) => {{
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const pattern = /# APP CODE START(.*?)# APP CODE END/gs;
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const template = `{gradio_lite_html_template}`;
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@@ -141,7 +148,7 @@ def download_code_js(demo_type):
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// Clean up by revoking the URL
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URL.revokeObjectURL(url);
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}}"""
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-
elif demo_type ==
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return f"""(code) => {{
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const escapedCode = code.replace('`', String.fromCharCode(92) + '`');
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// Step 1: Generate the HTML content
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from enum import Enum
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from pathlib import Path
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class DemoType(Enum):
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GRADIO = 1
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STREAMLIT = 2
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gradio_lite_html_template = Path('templates/gradio-lite/gradio-lite-template.html').read_text()
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stlite_html_template = Path('templates/stlite/stlite-template.html').read_text()
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stlite_snippet_template = Path('templates/stlite/stlite-snippet-template.html').read_text()
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def starting_app_code(demo_type: DemoType) -> str:
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if demo_type == DemoType.GRADIO:
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return Path('templates/gradio-lite/gradio_lite_starting_code.py').read_text()
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elif demo_type == DemoType.STREAMLIT:
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return Path('templates/stlite/stlite_starting_code.py').read_text().replace('`', r'\`')
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raise NotImplementedError(f'{demo_type} is not a supported demo type')
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def load_js(demo_type: DemoType) -> str:
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if demo_type == DemoType.GRADIO:
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return f"""() => {{
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if (window.gradioLiteLoaded) {{
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return
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frame.contentWindow.document.close();
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window.gradioLiteLoaded = true;
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}}"""
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elif demo_type == DemoType.STREAMLIT:
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return f"""() => {{
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if (window.stliteLoaded) {{
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return
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raise NotImplementedError(f'{demo_type} is not a supported demo type')
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+
def update_iframe_js(demo_type: DemoType) -> str:
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if demo_type == DemoType.GRADIO:
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# TODO: Works but is inefficient because the iframe has to be reloaded each time
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return f"""(code) => {{
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const pattern = /# APP CODE START(.*?)# APP CODE END/gs;
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84 |
frame.contentWindow.document.write(completedTemplate);
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frame.contentWindow.document.close();
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}}"""
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+
elif demo_type == DemoType.STREAMLIT:
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return f"""async (code) => {{
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async function update() {{
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const appController = document.getElementById('demo-iframe').contentWindow.window.appController;
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raise NotImplementedError(f'{demo_type} is not a supported demo type')
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+
def copy_snippet_js(demo_type: DemoType) -> str:
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101 |
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if demo_type == DemoType.GRADIO:
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return f"""async (code) => {{
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const pattern = /# APP CODE START(.*?)# APP CODE END/gs;
|
104 |
const template = `<div id="KiteWindApp">\n<script type="module" crossorigin src="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.js"></script>
|
|
|
110 |
const snippet = completedTemplate;
|
111 |
await navigator.clipboard.writeText(snippet);
|
112 |
}}"""
|
113 |
+
elif demo_type == DemoType.STREAMLIT:
|
114 |
return f"""async (code) => {{
|
115 |
const escapedCode = code.replace('`', String.fromCharCode(92) + '`');
|
116 |
const template = `{stlite_html_template}`;
|
|
|
123 |
raise NotImplementedError(f'{demo_type} is not a supported demo type')
|
124 |
|
125 |
|
126 |
+
def download_code_js(demo_type: DemoType) -> str:
|
127 |
+
if demo_type == demo_type.GRADIO:
|
128 |
return f"""(code) => {{
|
129 |
const pattern = /# APP CODE START(.*?)# APP CODE END/gs;
|
130 |
const template = `{gradio_lite_html_template}`;
|
|
|
148 |
// Clean up by revoking the URL
|
149 |
URL.revokeObjectURL(url);
|
150 |
}}"""
|
151 |
+
elif demo_type == demo_type.STREAMLIT:
|
152 |
return f"""(code) => {{
|
153 |
const escapedCode = code.replace('`', String.fromCharCode(92) + '`');
|
154 |
// Step 1: Generate the HTML content
|