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app.py

@@ -9,14 +9,33 @@ from qa import gradio as qa
 from stats import gradio as stats
 from selfask import gradio as selfask
 
-css = "#clean div.form {border: 0px} #response {border: 0px; background: #ffeec6} #prompt {border: 0px;background: aliceblue} #json {border: 0px} #result {border: 0px; background: #c5e0e5} #inner {padding: 20px} #inner textarea {border: 0px} .tabs div.tabitem {border: 0px}"
+CSS = """
+#clean div.form {border: 0px} 
+#response {border: 0px; background: #ffeec6} 
+#prompt {border: 0px;background: aliceblue} 
+#json {border: 0px} 
+#result {border: 0px; background: #c5e0e5} 
+#inner {margin: 10px; padding: 10px; font-size: 20px; } 
+#inner textarea {border: 0px}
+div.gradio-container {color: black}
+span.head {font-size: 60pt; font-family: cursive;}
+body {
+  --text-sm: 15px;
+  --text-md: 20px;
+  --text-lg: 22px;
+  --input-text-size: 20px;
+  --section-text-size: 20px;
+}
+"""
 
-with gr.Blocks(css=css) as demo:
-    gr.HTML("<center> <img width='10%' style='display:inline; padding: 5px' src='https://user-images.githubusercontent.com/35882/218286642-67985b6f-d483-49be-825b-f62b72c469cd.png'> <h1 style='display:inline; font-size:40pt; padding:20px'> Mini-Chain </h1> <img width='10%' style='display:inline;padding: 5px' src='https://avatars.githubusercontent.com/u/25720743?s=200&v=4'> </center><br><center><a href='https://github.com/srush/minichain'>[code]</a>  <a href='https://user-images.githubusercontent.com/35882/218286642-67985b6f-d483-49be-825b-f62b72c469cd.png'>[docs]</a></center>")
+
+
+with gr.Blocks(css=CSS, theme=gr.themes.Monochrome()) as demo:
+    gr.HTML("<center style='background:#B6B7BA'> <span class='head'>Mini</span><img src='https://user-images.githubusercontent.com/35882/227017900-0cacdfb7-37e2-47b1-9347-a233810d3544.png' width='20%' style='display:inline'><span class='head'>Chain</span> <br><a href='https://github.com/srush/minichain'>[code]</a>  <a href='https://user-images.githubusercontent.com/35882/218286642-67985b6f-d483-49be-825b-f62b72c469cd.png'>[docs]</a></center>")
 
     gr.TabbedInterface([math_demo, qa,  chat, gatsby,  ner, bash, pal, stats, selfask],
                        ["Math", "QA", "Chat", "Book", "NER", "Bash", "PAL", "Stats", "SelfAsk"],
-                       css = css)
+                       css = CSS)
 
 demo.launch()
 

math_demo.py

@@ -18,10 +18,11 @@ def math_prompt(model, question):
     "Prompt to call GPT with a Jinja template"
     return model(dict(question=question))
 
-@prompt(Python())
+@prompt(Python(), template="import math\n{{code}}")
 def python(model, code):
     "Prompt to call Python interpreter"
-    return int(model(code))
+    code = "\n".join(code.strip().split("\n")[1:-1])
+    return int(model(dict(code=code)))
 
 def math_demo(question):
     "Chain them together"

ner.py

@@ -14,7 +14,7 @@ Chain that does named entity recognition with arbitrary labels. [[Code](https://
 from minichain import prompt, show, OpenAI
 
 @prompt(OpenAI(), template_file = "ner.pmpt.tpl", parser="json")
-def ner_extract(model, **kwargs):
+def ner_extract(model, kwargs):
     return model(kwargs)
 
 @prompt(OpenAI())

pal.py

@@ -16,7 +16,7 @@ def pal_prompt(model, question):
 
 @prompt(Python())
 def python(model, inp):
-    return int(model(inp + "\nprint(solution())"))
+    return float(model(inp + "\nprint(solution())"))
 
 def pal(question):
     return python(pal_prompt(question))
@@ -32,6 +32,7 @@ gradio = show(pal,
               examples=[question],
               subprompts=[pal_prompt, python],
               description=desc,
+              out_type="json",
               code=open("pal.py", "r").read().split("$")[1].strip().strip("#").strip(),
               )