diff --git a/app.py b/app.py index 7f3995728ad26198ddb9b7d4614dba76aa791d73..57b9229d73f96cb7c6b28ff50f680f2c7b1b04ec 100644 --- a/app.py +++ b/app.py @@ -4,6 +4,8 @@ import gradio as gr import retrieval from text_generation import Client, InferenceAPIClient +# UNCOMMENT ONLY WHEN RUNNING LOCALLY (not on Spaces) +# from dotenv import load_dotenv # load API keys from globally-availabe .env file # SECRETS_FILEPATH = "/mnt/project/chatbotai/huggingface_cache/internal_api_keys.env" # load_dotenv(dotenv_path=SECRETS_FILEPATH, override=True) @@ -128,7 +130,6 @@ def predict( # run CLIP images_list = ta.clip_text_to_image(inputs) - yield chat, history, top_context_list[0], top_context_list[1], top_context_list[2], images_list diff --git a/clip_for_ppts.py b/clip_for_ppts.py index 79ce8e21951de67d45dfd8d7bf58a42027694678..093c95ea8fc88bd622653ecf65329c4ba13d588c 100755 --- a/clip_for_ppts.py +++ b/clip_for_ppts.py @@ -20,7 +20,9 @@ class ClipImage: :param mode: 'image' or 'text' based on the type of input :param device: device to run the model on """ - device = "cuda" if torch.cuda.is_available() else "cpu" + print("HEADS UPP -- ALWAYS using CPU for this 'spaces' version of the project. Otherwise we get FP32/16 conflicts.") + # device = "cuda" if torch.cuda.is_available() else "cpu" + device = "cpu" # Path directory = 'input_features' path = os.path.join(path_to_save_image_features, directory) diff --git a/input_features/slides_001_tensor.pt b/input_features/slides_001_tensor.pt index e54509306923fa94ad6b6b620df262a89fada51b..f97877f01a6a67b1701d531614c73a3a26ab3122 100644 --- a/input_features/slides_001_tensor.pt +++ b/input_features/slides_001_tensor.pt @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:1a3aa55a1cd91831596252fb206ffea7df4d7b08e181858b442b74ee95c276d9 -size 23305 +oid sha256:29d55bc24135d9c7a840999d704b182524d2a414ef96c648f1d619d790a399a2 +size 45833 diff --git a/input_features/slides_002_tensor.pt b/input_features/slides_002_tensor.pt index 6a2234fda5947b2f192b8d34990b485b720a2322..840f4bffffd376d72f236f6bcebd885885c9084e 100644 --- a/input_features/slides_002_tensor.pt +++ b/input_features/slides_002_tensor.pt @@ -1,3 +1,3 @@ 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+size 51977 diff --git a/input_features/slides_150_tensor.pt b/input_features/slides_150_tensor.pt index 1fba9e16852df0d29a925ccb437d409be0b7e106..da3038987e1074e12f138bf0726997499202e179 100644 --- a/input_features/slides_150_tensor.pt +++ b/input_features/slides_150_tensor.pt @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:2eb5c94d5132def6acf5a8b9c3fa67af802418deb15d3e767a6a8c6f78d44158 -size 12041 +oid sha256:e90de81eb60eca31cfbb5514e124f7dcfe91382bf49fdb394fd5753b53f5e937 +size 23305 diff --git a/input_features/slides_59b_tensor.pt b/input_features/slides_59b_tensor.pt index 887b08524349ce486b5451fee2d73797cb8e57d1..14d94225dc05410592a9e7e2af3bc0932e930bfb 100644 --- a/input_features/slides_59b_tensor.pt +++ b/input_features/slides_59b_tensor.pt @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:f7663fc7de880b083c5b9dc074f0aa89ce3b384a60d91034419ac0692467a71f -size 6921 +oid sha256:fa963b8e3b38883ce588604f431427f402c071cd0d83c5b2d03c3a1a7e57d047 +size 13065 diff --git a/input_features/slides_94b_tensor.pt b/input_features/slides_94b_tensor.pt index 4fa942022c1de5d3ed16a32e764775a28152ae93..e29adc9537deda0fed6aff7ff64f3e6e6cf91739 100644 --- a/input_features/slides_94b_tensor.pt +++ b/input_features/slides_94b_tensor.pt @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:85096905a04003bd51bdaa7b0b3fcfbe3a1d870fb5cf70f3d19b06a3d6cd5622 -size 8969 +oid sha256:556ed29f59aa754905619cf4d39209a5efbed5973acef3dcf7133f09e3756654 +size 17161 diff --git a/retrieval.py b/retrieval.py index 5fe10f78d7f2496f155e00e6e804afe2aadbeca2..700748c0879545c494b1af23654fe0381e269a1b 100644 --- a/retrieval.py +++ b/retrieval.py @@ -17,7 +17,7 @@ from clip_for_ppts import ClipImage # from PIL import Image LECTURE_SLIDES_DIR = os.path.join(os.getcwd(), "lecture_slides") -PINECONE_API_KEY = os.environ.get("PINECONE_API") +PINECONE_API_KEY = os.environ.get("PINECONE_API_KEY") class Retrieval: