Update gradio 3.0 Dataframe output no longer feasible

.stignore

@@ -0,0 +1,101 @@
+.git
+# Byte-compiled / optimized / DLL files
+__pycache__
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build
+develop-eggs
+dist
+downloads
+eggs
+.eggs
+lib
+lib64
+parts
+sdist
+var
+wheels
+pip-wheel-metadata
+share/python-wheels
+*.egg-info
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+
+# Flask stuff:
+instance
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build
+
+# PyBuilder
+target
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default
+ipython_config.py
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env
+venv
+ENV
+env.bak
+venv.bak
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mypy
+.mypy_cache
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre

install-nodemon.sh

@@ -0,0 +1,4 @@
+curl https://raw.githubusercontent.com/creationix/nvm/master/install.sh | bash
+source .bashrc
+nvm install node
+npm install -g nodemon

okteto.yml

@@ -0,0 +1,42 @@
+name: gradio-cmat
+
+# The build section defines how to build the images of
+# your development environment
+# More info: https://www.okteto.com/docs/reference/manifest/#build
+# build:
+#   my-service:
+#     context: .
+
+# The deploy section defines how to deploy your development environment
+# More info: https://www.okteto.com/docs/reference/manifest/#deploy
+# deploy:
+  # commands:
+    # - name: Deploy
+      # command: echo 'Replace this line with the proper 'helm'
+
+#  or 'kubectl' commands to deploy your development environment'
+
+# The dependencies section defines other git repositories to be
+# deployed as part of your development environment
+# More info: https://www.okteto.com/docs/reference/manifest/#dependencies
+# dependencies:
+#   - https://github.com/okteto/sample
+# The dev section defines how to activate a development container
+# More info: https://www.okteto.com/docs/reference/manifest/#dev
+dev:
+  gradio-cmat:
+    # image: okteto/dev:latest
+    # image: python:3.8.13-bullseye
+    # image: simbachain/poetry-3.8
+    image: python:3.8
+    command: bash
+    workdir: /usr/src/app
+    sync:
+      - .:/usr/src/app
+    environment:
+      - name=$USER
+    forward:
+      - 7861:7860
+    reverse:
+      - 9000:9000
+    autocreate: true

radiobee/__main__.py

@@ -45,6 +45,8 @@ import gradio as gr
 from radiobee.process_upload import process_upload
 from radiobee.gradiobee import gradiobee
 
+# pd.set_option('display.max_colwidth', 100)
+
 ic_install()
 ic.configureOutput(
     includeContext=True,
@@ -360,7 +362,7 @@ if __name__ == "__main__":
     out_df = gr.outputs.Dataframe(
         headers=None,
         max_rows=12,  # 20
-        max_cols=None,
+        max_cols=2,
         overflow_row_behaviour="paginate",
         type="auto",
         label="To be aligned",
@@ -373,6 +375,7 @@ if __name__ == "__main__":
         type="auto",
         label="aligned pairs",
     )
+    out_html_aligned = gr.outputs.HTML(label="aligned")
     out_file_dl = gr.outputs.File(
         label="Click to download csv",
     )
@@ -389,15 +392,15 @@ if __name__ == "__main__":
     # modi outputs 1, definitions
 
     # modi outputs 2, need to modify gradio error_msg
-    outputs = [  # tot. 8
-        out_df,
+    outputs = [  # tot. 8 or 7
+        gr.outputs.HTML(label="to be aligned"),
         out_file_dl,
         out_file_dl_excel,
         out_sents_dl,
         out_sents_dl_excel,
-        out_df_aligned,
-        # gr.outputs.HTML(),
-        # gr.outputs.Image(label="plot"),
+        # out_df_aligned,  # out_html_aligned,
+        gr.outputs.HTML(),
+        gr.outputs.Image(label="plot"),
     ]
     # outputs = ["dataframe", "plot", "plot"]  # wont work
     # outputs = ["dataframe"]
@@ -484,11 +487,10 @@ if __name__ == "__main__":
         examples=examples,
         examples_per_page=4,
         # theme="darkgrass",
-        theme="grass",
+        # theme="grass",
         # layout="vertical",  # horizontal unaligned
         allow_flagging="never",  #  "manual" "never" "auto"
-        # css=f"{css_image} {css_input_file} {css_output_file}",
-        # enable_queue=True,  # moved to launch
+        css=f"{css_image} {css_input_file} {css_output_file}",
     )
 
     iface.launch(

radiobee/detect.py

@@ -76,6 +76,6 @@ def detect(text: str, set_languages: Optional[List[str]] = None) -> str:
 
     # set_languages is set
     if not isinstance(set_languages, (list, tuple)):
-        logger.warning("set_languages (%s) ought to be a list/tuple")
+        logger.warning("set_languages (%s) ought to be a list/tuple", set_languages)
 
     return def_lang

radiobee/gradiobee.py

@@ -47,6 +47,42 @@ debug = False
 debug = True
 
 
+def style0(df):
+    _ = df.style.set_properties(
+            **{
+                "font-size": "8pt",
+                "border-color": "green",
+                # "border": ".11px black solid !important",
+                'width': '1500px'
+            }
+            # border-color="black",
+        ).set_table_styles([{
+            "selector": "",  # noqs
+            "props": [("border", ".05px black solid !important")]}]  # noqs
+        ).format(
+            precision=2
+        )
+    return _.to_html()
+
+
+def style1(df):
+    _ = df.style.set_properties(
+            **{
+                "font-size": "10pt",
+                "border-color": "green",
+                "border": "1px black solid !important",
+                'width': '1900px'
+            }
+            # border-color="black",
+        ).set_table_styles([{
+            "selector": "",  # noqs
+            "props": [("border", "1.2px black solid !important")]}]  # noqs
+        ).format(
+            precision=2
+        )
+    return _.to_html()
+
+
 def gradiobee(  # noqa
     file1,
     file2,
@@ -448,7 +484,12 @@ def gradiobee(  # noqa
         # return df_trimmed, file_dl, file_dl_xlsx, None, None, df_aligned, df_html
         # return df_trimmed, file_dl, file_dl_xlsx, None, None, df_aligned, None
         # return df_trimmed, file_dl, file_dl_xlsx, None, None, None, None
-        return None, file_dl, file_dl_xlsx, None, None, df_aligned, None
+
+        to_be_alinged = style0(df_trimmed)
+        done_alinged = style1(trim_df(df_aligned, 40))
+
+        # modi#
+        return to_be_alinged, file_dl, file_dl_xlsx, None, None, done_alinged, output_plot
 
     # ### proceed with sent align
     if sent_ali_algo in ["fast"]:
@@ -510,4 +551,13 @@ def gradiobee(  # noqa
 
     # remove output_plot, need to modify all return and error_msg.error_msg
     # return df_trimmed, file_dl, file_dl_xlsx, file_dl_sents, file_dl_xlsx_sents, df_aligned_sents, df_html
-    return df_trimmed, file_dl, file_dl_xlsx, file_dl_sents, file_dl_xlsx_sents, df_aligned_sents
+
+
+    to_be_alinged = style0(df_trimmed)
+    done_alinged = style1(trim_df(df_aligned_sents, 40))
+
+    ic(" checkpoint ")
+
+    # modi#
+    # return to_be_alinged, file_dl, file_dl_xlsx, file_dl_sents, file_dl_xlsx_sents, df_aligned_sents
+    return to_be_alinged, file_dl, file_dl_xlsx, file_dl_sents, file_dl_xlsx_sents, done_alinged, output_plot

radiobee/trim_df.py

@@ -6,6 +6,7 @@ import pandas as pd
 def trim_df(
         df1: pd.DataFrame,
         len_: int = 4,
+        ignore_index: bool = True,
 ) -> pd.DataFrame:
     # fmt: on
     """Trim df."""
@@ -14,17 +15,13 @@ def trim_df(
             [
                 df1.iloc[:len_, :],
                 pd.DataFrame(
-                    [
-                        [
-                            "...",
-                            "...",
-                        ]
-                    ],
+                    # [["...", "...",]],
+                    [["..."] * len(df1.columns)],
                     columns=df1.columns,
                 ),
                 df1.iloc[-len_:, :],
             ],
-            ignore_index=1,
+            ignore_index=ignore_index,
         )
         return df_trimmed
     return df1

run-nodemon.sh

@@ -0,0 +1 @@
+nodemon -V -w radiobee -x python -m radiobee