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.gitignore

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+# 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/
+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
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

Dockerfile

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+FROM python:3.11
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY ./app.py /code/
+
+
+EXPOSE 7860
+
+CMD [ "gradio", "app.py" ]

LICENSE

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+MIT License
+
+Copyright (c) 2023 Võ Đình Đạt
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -1,12 +1,8 @@
 ---
-title: Simple Ui
-emoji: 🏃
-colorFrom: yellow
-colorTo: green
+title: simple-ui
+app_file: app.py
 sdk: gradio
 sdk_version: 4.12.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# simple-chatbot
+Simple Chatbot UI using Gradio and Ollama

app.py

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+from threading import Thread
+import gradio as gr
+import transformers
+import torch
+from transformers import pipeline, AutoTokenizer, TextIteratorStreamer
+
+
+def chat_history(history) -> str:
+    messages = [
+        {
+            "role": ("user" if i % 2 == 0 else "assistant"),
+            "content": dialog[i % 2]
+        }
+        for i, dialog in enumerate(history) for _ in (0, 1) if dialog[i % 2]
+    ]
+
+    return pipeline.tokenizer.apply_chat_template(
+        messages, toknizer=False, add_generation_prompt=True
+    )
+
+
+def model_loading_pipeline():
+    model_id = "vilm/vinallama-7b"
+    tokenizer = AutoTokenizer.from_pretrained(model_id)
+    streamer = TextIteratorStreamer(tokenizer, skip_prompt=True, Timeout=5)
+    pipeline = transformers.pipeline(
+        "text-generation",
+        model=model_id,
+        model_kwargs={
+            "torch_dtype": torch.float16,
+            "load_in_8bits": True,
+        },
+        streamer=streamer,
+    )
+    return pipeline, streamer
+
+
+def launch_app(pipeline, streamer):
+    with gr.Blocks() as demo:
+        chat = gr.Chatbot()
+        msg = gr.Textbox()
+        clear = gr.Button("Clear")
+
+        def user(user_message, history):
+            return "", history + [[user_message, None]]
+
+        def bot(history):
+            prompt = chat_history(history)
+            history[-1][1] = ""
+            kwargs = {
+                "text_inputs": prompt,
+                "max_new_tokens": 2048,
+                "do_sample": True,
+                "temperature": 0.7,
+                "top_k": 50,
+                "top_p": 0.95,
+            }
+            thread = Thread(target=pipeline, kwargs=kwargs)
+            thread.start()
+
+            for token in streamer:
+                history[-1][1] += token
+                yield history
+
+        msg.submit(user, [msg, chat], [msg, chat], queue=False).then(bot, chat, chat)
+        clear.click(lambda: None, None, chat, queue=False)
+
+    demo.queue()
+    demo.launch(share=True, debug=True)
+
+
+if __name__ == "__main__":
+    pipe, streamer = model_loading_pipeline()
+    launch_app(pipe, streamer)

requirements.txt

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+gradio
+transformers
+torch