Upload folder using huggingface_hub

HfApi_testing.Rmd

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+---
+title: "hfhub_testing"
+output: html_document
+date: "2024-04-04"
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = TRUE)
+```
+
+```{r}
+hf <- reticulate::import("huggingface_hub")
+api <- hf$HfApi()
+
+repo_id <- "aoiferyan/api_second_attempt"
+api$create_repo(repo_id = repo_id, repo_type="space", space_sdk="gradio")
+
+api$upload_folder(repo_id = repo_id, repo_type="space", folder_path="/Users/aoiferyan/Library/CloudStorage/[email protected]/My Drive/Big Think/bigThink_5Apr2024/HfApi_testing")
+
+space_hardware <- hf$SpaceHardware
+
+api$request_space_hardware(repo_id = repo_id, hardware = space_hardware$CPU_BASIC)
+
+api$delete_file(repo_id = repo_id, path_in_repo = "HfApi_testing.Rmd")
+```
+
+

app.py

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+from sentence_transformers import SentenceTransformer
+import pandas as pd
+
+sentences = ["This is an example sentence", "Each sentence is converted"]
+
+model = SentenceTransformer('sentence-transformers/all-miniLM-L6-v2')
+embeddings = model.encode(sentences)
+
+embeddings_df = pd.DataFrame(embeddings)
+
+embeddings_df.to_csv("embeddings.csv")

python_chunk.Rmd

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+---
+title: "Untitled"
+output: html_document
+date: "2024-04-04"
+---
+
+```{python}
+from sentence_transformers import SentenceTransformer
+import pandas as pd
+
+sentences = ["This is an example sentence", "Each sentence is converted"]
+
+model = SentenceTransformer('sentence-transformers/all-miniLM-L6-v2')
+embeddings = model.encode(sentences)
+
+embeddings_df = pd.DataFrame(embeddings)
+
+embeddings_df.to_csv("embeddings.csv")
+```

requirements.txt

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+sentence-transformers
+pandas