Spaces:
Sleeping
Sleeping
Add application file
Browse files- .gitignore +2 -0
- README.md +3 -3
- app.py +94 -0
- requirements.txt +74 -0
.gitignore
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.env
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.venv/
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README.md
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---
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title: Phospho Multimodal
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sdk: gradio
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sdk_version: 4.29.0
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app_file: app.py
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---
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title: Phospho Multimodal
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emoji: 🧪
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colorFrom: gray
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colorTo: green
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sdk: gradio
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sdk_version: 4.29.0
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app_file: app.py
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app.py
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import gradio as gr
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import base64
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import time
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import os
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from dotenv import load_dotenv
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import requests
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load_dotenv()
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phospho_api_key = os.environ.get("PHOSPHO_API_KEY")
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assert phospho_api_key, "Please set the PHOSPHO_API_KEY environment variable"
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# Image to Base 64 Converter
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def image_to_base64(image_path):
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with open(image_path, "rb") as img:
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encoded_string = base64.b64encode(img.read())
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return encoded_string.decode("utf-8")
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# Function that takes User Inputs and displays it on ChatUI
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def query_message(history, txt, img):
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if not img:
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history += [(txt, None)]
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return history
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base64 = image_to_base64(img)
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data_url = f"data:image/jpeg;base64,{base64}"
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history += [(f"{txt} ![]({data_url})", None)]
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return history
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# Function that takes User Inputs, generates Response and displays on Chat UI
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def llm_response(history, text, img):
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if not img:
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answer = f"Please provide an image, otherwise I cannot answer."
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history += [(None, answer)]
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return history
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else:
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url = "https://api.phospho.ai/v2/predict"
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headers = {
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"accept": "application/json",
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"Authorization": f"Bearer {phospho_api_key}",
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"Content-Type": "application/json",
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}
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data = {
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"inputs": [
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{
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"text": text,
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"image_url": image_to_base64(img),
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"temperature": 0.2,
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"top_p": 0.9,
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"max_new_tokens": 100,
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}
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],
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"model": "phospho-multimodal",
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}
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response = requests.post(url, json=data, headers=headers)
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# Check if the response is successful
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if response.status_code != 200:
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history += [
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(None, "Sorry, I couldn't process the image. Please try again.")
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]
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return history
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else:
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response = response.json()
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print(response)
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answer = response["predictions"][0]["description"]
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history += [(None, answer)]
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return history
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# Interface Code
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with gr.Blocks() as app:
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with gr.Row():
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image_box = gr.Image(type="filepath")
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chatbot = gr.Chatbot(scale=2, height=750)
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text_box = gr.Textbox(
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placeholder="What is your question about the image?",
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container=False,
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)
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btn = gr.Button("Submit")
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clicked = btn.click(query_message, [chatbot, text_box, image_box], chatbot).then(
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llm_response, [chatbot, text_box, image_box], chatbot
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)
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app.queue()
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app.launch(debug=True)
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requirements.txt
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aiofiles==23.2.1
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altair==5.3.0
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annotated-types==0.6.0
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anyio==4.3.0
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attrs==23.2.0
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certifi==2024.2.2
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charset-normalizer==3.3.2
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click==8.1.7
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contourpy==1.2.1
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cycler==0.12.1
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dnspython==2.6.1
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email_validator==2.1.1
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fastapi==0.111.0
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fastapi-cli==0.0.3
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ffmpy==0.3.2
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filelock==3.14.0
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fonttools==4.51.0
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fsspec==2024.3.1
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gradio==4.29.0
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gradio_client==0.16.1
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h11==0.14.0
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httpcore==1.0.5
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httptools==0.6.1
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httpx==0.27.0
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huggingface-hub==0.23.0
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idna==3.7
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importlib_resources==6.4.0
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Jinja2==3.1.4
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jsonschema==4.22.0
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jsonschema-specifications==2023.12.1
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kiwisolver==1.4.5
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.8.4
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mdurl==0.1.2
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mypy==1.10.0
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mypy-extensions==1.0.0
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numpy==1.26.4
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orjson==3.10.3
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packaging==24.0
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pandas==2.2.2
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pillow==10.3.0
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pydantic==2.7.1
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pydantic_core==2.18.2
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pydub==0.25.1
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Pygments==2.18.0
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pyparsing==3.1.2
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python-dateutil==2.9.0.post0
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python-dotenv==1.0.1
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python-multipart==0.0.9
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pytz==2024.1
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PyYAML==6.0.1
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referencing==0.35.1
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requests==2.31.0
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rich==13.7.1
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rpds-py==0.18.1
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ruff==0.4.3
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.16.0
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sniffio==1.3.1
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starlette==0.37.2
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tomlkit==0.12.0
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toolz==0.12.1
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tqdm==4.66.4
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typer==0.12.3
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typing_extensions==4.11.0
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tzdata==2024.1
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ujson==5.9.0
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urllib3==2.2.1
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uvicorn==0.29.0
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uvloop==0.19.0
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watchfiles==0.21.0
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websockets==11.0.3
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