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import json
import os
import tempfile
import requests
import gradio as gr
from huggingface_hub import HfApi, create_repo
inputs_description = """This is a description of the inputs that the prompt expects.
{{input_var}}: {{Description}}
...
"""
usage_description = """Below is a code snippet for how to use the prompt.
```python
{{Code snippet}}
```
"""
input_variables_description = "Comma-separated list of input variables. E.g. question,name"
template_description = "Imagine you're a teacher called {name}. A student asks the following question: {question}. What do you answer?"
api = HfApi()
def submit(name, description, inputs_description, usage_description, input_variables, template, token):
# Join the organization
headers = {"Authorization" : f"Bearer: {token}", "Content-Type": "application/json"}
response = requests.post("https://huggingface.co/organizations/LangChainHub/share/uhxlCpmDvtlLglvxXFYrEXdUkgZXSAggiX", headers=headers)
variables = input_variables.split(",")
card = f"""
---
tags:
- langchain
- prompt
---
# Description of {name}
{description}
## Inputs
{inputs_description}
## Usage
{usage_description}
"""
with tempfile.TemporaryDirectory() as tmpdir:
with open(os.path.join(tmpdir, "prompt.json"), "w") as f:
data = {
'input_variables': variables,
'output_parser': None,
"template": template,
"template_format": "f-string"
}
json.dump(data, f, indent=4)
with open(os.path.join(tmpdir, "README.md"), "w") as f:
f.write(card)
name = name.replace(" ", "_")
model_id = f"LangChainHub/{name}"
repo_url = create_repo(model_id, token=token, repo_type="dataset")
res = api.upload_folder(
repo_id=model_id,
folder_path=tmpdir,
token=token,
repo_type="dataset"
)
return f'Success! Check out the result <a href=\'{repo_url}\' target="_blank" style="text-decoration:underline">here</a>'
with gr.Blocks() as form:
gr.Markdown("# LangChain Hub Form")
gr.Markdown("## Submit a prompt")
name = gr.Textbox(lines=1, placeholder="Name for the prompt", label="Name")
high_level_description = gr.Textbox(lines=1, placeholder="High level text description of the prompt, including use cases.", interactive=True, label="Description")
inputs_description = gr.Textbox(lines=2, value=inputs_description, interactive=True, label="Inputs Description")
usage_description = gr.Textbox(lines=3, value=usage_description, interactive=True, label="Usage Description")
input_variables = gr.Textbox(value=input_variables_description, interactive=True, label="Input Variables")
template = gr.Textbox(lines=3, value=template_description, interactive=True, label="Template (use the input variables with {})")
token = gr.Textbox(label="Write Token (from https://huggingface.co/settings/tokens)", type="password")
btn = gr.Button(value="Share Prompt")
inputs = [name, high_level_description, inputs_description, usage_description, input_variables, template, token]
output = gr.Markdown(label="output")
btn.click(submit, inputs=inputs, outputs=[output])
form.launch(debug=True) |