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import gradio as gr | |
import json | |
import faiss_vdb as vdb | |
def upsert_role(roleId, data): | |
""" | |
body: { meta, content } | |
""" | |
text = json.dumps(data['content']) | |
meta = data['meta'] | |
meta['id'] = roleId | |
cnt = vdb.upsert(text, meta) | |
return cnt | |
i_upsert = gr.Interface(fn=upsert_role, inputs=["text", "json"], | |
outputs="text") | |
# gradio_interface.launch() | |
def search_roles(content, size): | |
if size is None: size = 4 | |
size = int(size) | |
text = json.dumps(content) | |
docs = vdb.search(text, size) | |
return docs | |
i_search = gr.Interface( | |
fn=search_roles, | |
inputs=["json", "number"], | |
outputs="json" | |
) | |
def embed_texts(texts): | |
arr = [vdb.embed_text(t)[0].tolist() for t in texts] | |
json_arr = json.dumps(arr) | |
return json_arr | |
i_embed = gr.Interface( | |
fn=embed_texts, | |
inputs='json', | |
outputs="json" | |
) | |
demo = gr.TabbedInterface([i_upsert, i_search, i_embed], [ | |
"upsert role", "search roles", "embed text"]) | |
if __name__ == "__main__": | |
demo.launch() | |