Commit
Β·
0130234
1
Parent(s):
16bb651
fix: user api key
Browse files- app.py +11 -5
- similarity.py +10 -10
- test.py +5 -0
app.py
CHANGED
@@ -89,17 +89,22 @@ def load_examples(n: int = 3):
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static_examples = load_examples()
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# βββββββββ backend for user Run βββββββββ
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-
def run_mapper(prompt: str, img_url: str):
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if not img_url:
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raise gr.Error("Please provide an image URL.")
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try:
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r = requests.get(img_url, stream=True, timeout=10); r.raise_for_status()
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img = Image.open(io.BytesIO(r.content)).convert("RGB")
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except Exception as e:
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raise gr.Error(f"Image load failed: {e}")
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-
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img_proc, _, _ =
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toks, maps =
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if not toks:
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raise gr.Error("Mapper returned no tokens.")
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@@ -127,6 +132,7 @@ with gr.Blocks(css=css) as demo:
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# User input
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prompt_in = gr.Textbox(label="Prompt", placeholder="Describe what to queryβ¦")
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url_in = gr.Textbox(label="Image URL", placeholder="https://example.com/image.jpg")
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run_btn = gr.Button("Run", elem_id="run-btn")
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# Output area
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@@ -137,7 +143,7 @@ with gr.Blocks(css=css) as demo:
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img_out = gr.Image(label="Image + Heatmap", visible=False)
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run_btn.click(run_mapper,
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-
[prompt_in, url_in],
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[token_sel, maps_st, img_st, img_out, info_md, prompt_in, url_in])
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(token_sel.select if hasattr(token_sel,"select") else token_sel.change)(
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static_examples = load_examples()
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# βββββββββ backend for user Run βββββββββ
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+
def run_mapper(prompt: str, img_url: str, api_key: str):
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+
new_client = JinaV4SimilarityMapper(client_type="web")
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if not img_url:
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raise gr.Error("Please provide an image URL.")
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if not prompt:
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raise gr.Error("Please provide a prompt.")
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if not api_key:
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raise gr.Error("Please provide a valid API key.")
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try:
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r = requests.get(img_url, stream=True, timeout=10); r.raise_for_status()
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img = Image.open(io.BytesIO(r.content)).convert("RGB")
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except Exception as e:
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raise gr.Error(f"Image load failed: {e}")
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+
new_client.model.set_api_key(api_key)
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img_proc, _, _ = new_client.process_image(img_url)
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toks, maps = new_client.get_token_similarity_maps(prompt, img_proc)
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if not toks:
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raise gr.Error("Mapper returned no tokens.")
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# User input
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prompt_in = gr.Textbox(label="Prompt", placeholder="Describe what to queryβ¦")
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url_in = gr.Textbox(label="Image URL", placeholder="https://example.com/image.jpg")
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+
api_key_in = gr.Textbox(label="API Key", placeholder="Enter your Jina API key here")
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run_btn = gr.Button("Run", elem_id="run-btn")
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# Output area
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img_out = gr.Image(label="Image + Heatmap", visible=False)
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run_btn.click(run_mapper,
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[prompt_in, url_in, api_key_in],
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[token_sel, maps_st, img_st, img_out, info_md, prompt_in, url_in])
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(token_sel.select if hasattr(token_sel,"select") else token_sel.change)(
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similarity.py
CHANGED
@@ -24,22 +24,14 @@ class JinaEmbeddingsClient:
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def __init__(
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self,
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-
api_key: str | None = None,
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model: str = "jina-embeddings-v4",
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return_multivector: bool = True,
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task: str = "retrieval.query",
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timeout: int = 30,
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) -> None:
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# Grab token from env if it wasnβt provided
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api_key = api_key or os.getenv("JINA_TOKEN")
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if not api_key:
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raise ValueError(
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"No API key supplied. Pass `api_key=` or set the env var JINA_TOKEN."
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)
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self.headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer
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}
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self.base_payload = {
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"model": model,
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@@ -90,6 +82,14 @@ class JinaEmbeddingsClient:
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resp.raise_for_status()
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return resp.json()
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@staticmethod
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def _as_tensors(data: List[Dict[str, Any]]) -> List[torch.Tensor]:
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"""
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@@ -118,7 +118,7 @@ class JinaV4SimilarityMapper:
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device: str = "cuda" if torch.cuda.is_available() else "cpu",
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heatmap_alpha: float = 0.6,
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num_vectors: int = 128,
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client_type: str = "local"
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):
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"""
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Initialize the mapper with Jina Embedding v4.
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def __init__(
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self,
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model: str = "jina-embeddings-v4",
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return_multivector: bool = True,
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task: str = "retrieval.query",
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timeout: int = 30,
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) -> None:
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self.headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer Not Set",
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}
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self.base_payload = {
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"model": model,
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resp.raise_for_status()
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return resp.json()
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def set_api_key(self, api_key: str) -> None:
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"""
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Set the API key for authentication.
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"""
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if not api_key:
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raise ValueError("API key must not be empty.")
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self.headers["Authorization"] = f"Bearer {api_key}"
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@staticmethod
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def _as_tensors(data: List[Dict[str, Any]]) -> List[torch.Tensor]:
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"""
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device: str = "cuda" if torch.cuda.is_available() else "cpu",
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heatmap_alpha: float = 0.6,
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num_vectors: int = 128,
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+
client_type: str = "local",
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):
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"""
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Initialize the mapper with Jina Embedding v4.
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test.py
CHANGED
@@ -7,9 +7,14 @@ import subprocess
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import requests
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import gradio as gr
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from PIL import Image
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from app import MAPPER, save_run
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inputs = [
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("A person riding a bicycle near the ocean", "https://cdn.duvine.com/wp-content/uploads/2016/04/17095703/Slides_mallorca_FOR-WEB.jpg"),
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("Computing jobs in the US", "https://www.ayresassociates.com/wp-content/uploads/2019/02/Career-Expo-Pie-Chart-Crop.jpg"),
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import requests
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import gradio as gr
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from PIL import Image
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import os
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from app import MAPPER, save_run
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api_key = os.getenv("JINA_TOKEN")
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MAPPER.model.set_api_key(api_key)
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inputs = [
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("A person riding a bicycle near the ocean", "https://cdn.duvine.com/wp-content/uploads/2016/04/17095703/Slides_mallorca_FOR-WEB.jpg"),
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("Computing jobs in the US", "https://www.ayresassociates.com/wp-content/uploads/2019/02/Career-Expo-Pie-Chart-Crop.jpg"),
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