Set versions of promptsource 0.82 and Python 3.7

README.md

@@ -6,7 +6,7 @@ WIP
 ## Setup
 1. Download the repo
 2. Navigate to root directory of the repo
-3. Install requirements with `pip install -r requirements.txt`
+3. Install requirements with `pip install -r requirements.txt` in a Python 3.7 environment
 
 ## Running
 From the root directory of the repo, you can launch the editor with
@@ -50,3 +50,5 @@ For more information, read the [Contribution guidelines](CONTRIBUTING.md).
 ## Known Issues
 
 **Warning or Error about Darwin on OS X:** Try downgrading PyArrow to 3.0.0.
+
+**ConnectionRefusedError: [Errno 61] Connection refused:** Happens occasionally. Try restarting the app.

promptsource/app.py

@@ -368,7 +368,7 @@ def get_infos(d_name):
                     continue
                 example = dataset[ex_idx]
                 example = removeHyphen(example)
-                col1, _, col2 = st.columns([12, 1, 12])
+                col1, _, col2 = st.beta_columns([12, 1, 12])
                 with col1:
                     st.write(example)
                 if num_templates > 0:
@@ -392,7 +392,7 @@ def get_infos(d_name):
             #
             # Create a new template or select an existing one
             #
-            col1a, col1b, _, col2 = st.columns([9, 9, 1, 6])
+            col1a, col1b, _, col2 = st.beta_columns([9, 9, 1, 6])
 
             # current_templates_key and state.templates_key are keys for the templates object
             current_templates_key = (dataset_key, conf_option.name if conf_option else None)
@@ -426,7 +426,7 @@ def get_infos(d_name):
                 else:
                     state.new_template_name = None
 
-            with col1b, st.expander("or Select Template", expanded=True):
+            with col1b, st.beta_expander("or Select Template", expanded=True):
                 dataset_templates = template_collection.get_dataset(*state.templates_key)
                 template_list = dataset_templates.all_template_names
                 if state.template_name:
@@ -450,15 +450,15 @@ def get_infos(d_name):
             \n- **Implicit situation or contextualization**: how explicit is the query? For instance, *Given this review, would you buy this product?* is an indirect way to ask whether the review is positive.
             """
 
-            col1, _, _ = st.columns([18, 1, 6])
+            col1, _, _ = st.beta_columns([18, 1, 6])
             with col1:
                 if state.template_name is not None:
                     show_text(variety_guideline)
 
             #
             # Edit the created or selected template
             #
-            col1, _, col2 = st.columns([18, 1, 6])
+            col1, _, col2 = st.beta_columns([18, 1, 6])
             with col1:
                 if state.template_name is not None:
                     template = dataset_templates[state.template_name]

requirements.txt

@@ -4,7 +4,7 @@ flake8
 isort==5.8.0
 pytest
 pyyaml>=5
-streamlit>=0.86.0, <=0.88.0
+streamlit==0.82
 jinja2
 plotly
 requests

setup.py

@@ -9,7 +9,7 @@
     url='https://github.com/bigscience-workshop/promptsource.git',
     author='Multiple Authors',
     author_email='xxx',
-    python_requires='>=3.7',
+    python_requires='>=3.7, <3.8',
     classifiers=[
         'Development Status :: 2 - Pre-Alpha',
         'Intended Audience :: Developers',