Create app.py

app.py

@@ -0,0 +1,88 @@
+import json
+import os 
+import tempfile
+
+import gradio as gr
+from huggingface_hub import HfApi
+
+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.
+
+```
+{{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):
+  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)
+
+      with open(os.path.join(tmpdir, "README.md"), "w") as f:
+        f.write(card)
+      
+      name = name.replace(" ", "_")
+      res = api.upload_folder(
+          repo_id="osanseviero/langchain_hub_test",
+          folder_path=tmpdir,
+          path_in_repo=f"prompts/{name}",
+          token=token,
+          repo_type="dataset",
+          create_pr=True
+      )
+  return "Success! Check out https://huggingface.co/datasets/osanseviero/langchain_hub_test/discussions"
+
+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=2, placeholder="High level text description of the prompt, including use cases.", interactive=True, label="Description")
+    inputs_description = gr.Textbox(lines=3, 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://hf.co/settings/tokens)", type="password")
+
+    btn = gr.Button(value="Open PR")
+    inputs = [name, high_level_description, inputs_description, usage_description, input_variables, template, token]
+    output = gr.Textbox()
+    btn.click(submit, inputs=inputs, outputs=[output])
+
+form.launch(debug=True)