merge develop.milestone-3

merge containing work on the actual milestone-3 and the renaming of the folder for multi-object tracking to the correct name. No adjustment to the branches will be done to preserve the hf space settings.

README.md

@@ -0,0 +1,16 @@
+---
+title: Milestone 2
+emoji: 📹
+colorFrom: blue
+colorTo: red
+sdk: streamlit
+app_file: language_models_project/app.py
+python_version: 3.10.4
+pinned: false
+---
+
+
+# image2textapp
+demo of 🤗 spaces deployment of a streamlit python app
+
+deployed at https://huggingface.co/spaces/NativeVex/large-language-models

language_models_project/app.py

@@ -0,0 +1,45 @@
+import streamlit as st  # Web App
+from main import classify
+
+demo_phrases = """ Here are some examples:
+this is a phrase
+is it neutral
+nothing else to say
+man I'm so damn angry
+sarcasm lol
+I love this product
+"""
+
+# title
+st.title("Sentiment Analysis")
+
+# subtitle
+st.markdown("## A selection of popular sentiment analysis models -  hosted on 🤗 Spaces")
+
+model_name = st.selectbox(
+    "Select a pre-trained model",
+    [
+        "finiteautomata/bertweet-base-sentiment-analysis",
+        "ahmedrachid/FinancialBERT-Sentiment-Analysis",
+        "finiteautomata/beto-sentiment-analysis",
+    ],
+)
+
+input_sentences = st.text_area("Sentences", value=demo_phrases, height=200)
+
+data = input_sentences.split("\n")
+
+if st.button("Classify"):
+    st.write("Please allow a few minutes for the model to run/download")
+    for i in range(len(data)):
+        j = classify(model_name.strip(), data[i])[0]
+        sentiment = j["label"]
+        confidence = j["score"]
+        st.write(
+            f"{i}. {data[i]} :: Classification - {sentiment} with confidence {confidence}"
+        )
+
+
+st.markdown(
+    "Link to the app - [image-to-text-app on 🤗 Spaces](https://huggingface.co/spaces/Amrrs/image-to-text-app)"
+)

language_models_project/main.py

@@ -0,0 +1,12 @@
+from transformers import pipeline
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+def classify(model_string: str, *args, **kwargs):
+    tokenizer = AutoTokenizer.from_pretrained(model_string)
+    model = AutoModelForSequenceClassification.from_pretrained(model_string)
+    sentiment_pipeline = pipeline(
+        "sentiment-analysis",
+        model=model,
+        tokenizer=tokenizer
+    )
+    return sentiment_pipeline(*args, **kwargs)

requirements.txt

@@ -0,0 +1,156 @@
+aiofiles==22.1.0
+aiosqlite==0.18.0
+antlr4-python3-runtime==4.9.3
+anyconfig==0.10.1
+anyio==3.6.2
+argon2-cffi==21.3.0
+argon2-cffi-bindings==21.2.0
+arrow==1.2.3
+asttokens==2.2.1
+attrs==22.2.0
+Babel==2.12.1
+backcall==0.2.0
+beautifulsoup4==4.12.2
+binaryornot==0.4.4
+bleach==6.0.0
+build==0.10.0
+cachetools==5.3.0
+certifi==2022.12.7
+cffi==1.15.1
+chardet==5.1.0
+charset-normalizer==3.1.0
+click==8.1.3
+cmake==3.26.1
+comm==0.1.3
+cookiecutter==2.1.1
+debugpy==1.6.7
+decorator==5.1.1
+defusedxml==0.7.1
+dynaconf==3.1.12
+executing==1.2.0
+fastjsonschema==2.16.3
+filelock==3.11.0
+fqdn==1.5.1
+fsspec==2023.3.0
+gitdb==4.0.10
+GitPython==3.1.31
+huggingface-hub==0.13.4
+idna==3.4
+importlib-metadata==6.2.1
+importlib-resources==5.12.0
+ipykernel==6.22.0
+ipython==8.12.0
+ipython-genutils==0.2.0
+isoduration==20.11.0
+jedi==0.18.2
+Jinja2==3.1.2
+jinja2-time==0.2.0
+jmespath==0.10.0
+json5==0.9.11
+jsonpointer==2.3
+jsonschema==4.17.3
+jupyter-events==0.6.3
+jupyter-ydoc==0.2.3
+jupyter_client==8.1.0
+jupyter_core==5.3.0
+jupyter_server==2.5.0
+jupyter_server_fileid==0.9.0
+jupyter_server_terminals==0.4.4
+jupyter_server_ydoc==0.8.0
+jupyterlab==3.6.3
+jupyterlab-pygments==0.2.2
+jupyterlab_server==2.22.0
+kedro==0.18.7
+lit==16.0.0
+markdown-it-py==2.2.0
+MarkupSafe==2.1.2
+matplotlib-inline==0.1.6
+mdurl==0.1.2
+mistune==2.0.5
+more-itertools==9.1.0
+mpmath==1.3.0
+nbclassic==0.5.5
+nbclient==0.7.3
+nbconvert==7.3.0
+nbformat==5.8.0
+nest-asyncio==1.5.6
+networkx==3.1
+notebook==6.5.4
+notebook_shim==0.2.2
+numpy==1.24.2
+nvidia-cublas-cu11==11.10.3.66
+nvidia-cuda-cupti-cu11==11.7.101
+nvidia-cuda-nvrtc-cu11==11.7.99
+nvidia-cuda-runtime-cu11==11.7.99
+nvidia-cudnn-cu11==8.5.0.96
+nvidia-cufft-cu11==10.9.0.58
+nvidia-curand-cu11==10.2.10.91
+nvidia-cusolver-cu11==11.4.0.1
+nvidia-cusparse-cu11==11.7.4.91
+nvidia-nccl-cu11==2.14.3
+nvidia-nvtx-cu11==11.7.91
+omegaconf==2.3.0
+packaging==23.0
+pandas==2.0.0
+pandocfilters==1.5.0
+parso==0.8.3
+pexpect==4.8.0
+pickleshare==0.7.5
+pip-tools==6.13.0
+platformdirs==3.2.0
+pluggy==1.0.0
+prometheus-client==0.16.0
+prompt-toolkit==3.0.38
+protobuf==3.20.3
+psutil==5.9.4
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pycparser==2.21
+Pygments==2.14.0
+pyproject_hooks==1.0.0
+pyrsistent==0.19.3
+python-dateutil==2.8.2
+python-json-logger==2.0.7
+python-slugify==8.0.1
+pytoolconfig==1.2.5
+pytz==2023.3
+PyYAML==6.0
+pyzmq==25.0.2
+regex==2023.3.23
+requests==2.28.2
+rfc3339-validator==0.1.4
+rfc3986-validator==0.1.1
+rich==13.3.3
+rope==1.7.0
+Send2Trash==1.8.0
+sentencepiece==0.1.97
+six==1.16.0
+smmap==5.0.0
+sniffio==1.3.0
+soupsieve==2.4
+stack-data==0.6.2
+sympy==1.11.1
+terminado==0.17.1
+text-unidecode==1.3
+tinycss2==1.2.1
+tokenizers==0.13.3
+toml==0.10.2
+tomli==2.0.1
+toposort==1.10
+torch==2.0.0
+tornado==6.2
+tqdm==4.65.0
+traitlets==5.9.0
+transformers==4.27.4
+triton==2.0.0
+typing_extensions==4.5.0
+tzdata==2023.3
+uri-template==1.2.0
+urllib3==1.26.15
+wcwidth==0.2.6
+webcolors==1.13
+webencodings==0.5.1
+websocket-client==1.5.1
+y-py==0.5.9
+ypy-websocket==0.8.2
+zipp==3.15.0