Add a json files for integrations (#220)

.gitignore

@@ -2,5 +2,6 @@
 *.py[cgo]
 __pycache__
 *.json
+!project.json
 dist/
 *.sqlite3

integrations/bert-base-uncased/project.json

@@ -0,0 +1,5 @@
+{
+    "title": "Bert Base Uncased",
+    "description": "BERT base model (uncased) Pretrained model on English language using a masked language modeling (MLM) objective.",
+    "categories":    ["Text Classification", "Hugging Face", "Text Generation"]
+}

integrations/blip-image-captioning-large/project.json

@@ -0,0 +1,5 @@
+{
+    "title": "Blip Image Captioning Large",
+    "description": "BLIP integrations examples offer an easy-to-follow guide to setting up and using BLIP models",
+    "categories":    ["Image Captioning", "Hugging Face"]
+}

integrations/distilgpt2/project.json

@@ -0,0 +1,5 @@
+{
+    "title": "Distil Gpt 2",
+    "description": "DistilGPT2 integrations examples offer an easy-to-follow guide to setting up and using DistilGPT2 models",
+    "categories":    ["Hugging Face", "Text Generation"]
+}

integrations/fetch-ai-engine/project.json

@@ -0,0 +1,5 @@
+{
+    "title": "Fetch AI Engine",
+    "description": "This integration adds types required by AI-Engine to UAgents",
+    "categories":    ["AI Engine"]
+}

integrations/fetch-holiday/project.json

@@ -0,0 +1,5 @@
+{
+    "title": "Fetch Holiday",
+    "description": "This integration provides the top destination places",
+    "categories":    ["Holiday Planner", "Travel"]
+}

integrations/finbert/project.json

@@ -0,0 +1,5 @@
+{
+    "title": "Finbert",
+    "description": "FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification.",
+    "categories":   ["Financial Sentiment Analysis", "Financial News Analysis","Hugging Face"]
+}

integrations/mobility-integrations/project.json

@@ -0,0 +1,5 @@
+{
+    "title": "Mobility Integrations",
+    "description": "This contains examples of mobility integrations using two agents: `ev_charger` and `geoapi_car_parking`",
+    "categories":   ["Mobility", "Geocoding"]
+}

integrations/openai-whisper-large-v2/project.json

@@ -0,0 +1,5 @@
+{
+    "title": "Open Whisper Large V2",
+    "description": "Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains without the need for fine-tuning",
+    "categories":   ["Automatic Speech Recognition","Speech Translation", "Hugging Face"]
+}

integrations/stable-diffusion-v1-4/project.json

@@ -0,0 +1,5 @@
+{
+    "title": "Stable Diffusion V1",
+    "description": "Stable Diffusion model with this image generator. Stable Diffusion, an avant-garde image synthesis model, seamlessly melds the capabilities of both CLIP and Diffusion techniques, churning out visually arresting images from textual descriptions",
+    "categories":   ["Text-to-Image Generation", "Hugging Face"]
+}

integrations/t5-base/project.json

@@ -0,0 +1,5 @@
+{
+    "title": "T5 Base",
+    "description": "The T5 model is a Text-to-Text Transfer Transformer model that was developed by Google Research.",
+    "categories":   ["Text Classification", "Text Generation","Hugging Face"]
+}