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import streamlit as st |
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import requests |
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import openai |
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import os |
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api_key = os.getenv("api_key") |
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openai.api_key = os.getenv("OPENAI_API_KEY") |
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bearer = "Bearer " + api_key |
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API_URL = "https://api-inference.huggingface.co/models/Waqasjan123/Skin_Cancer_Detector_Live" |
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HEADERS = {"Authorization": bearer} |
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stringi = "" |
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custom_css = """ |
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<style> |
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/* Replace your selector and styles */ |
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.css-h1sjnp.eeusbqq0 { |
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width: 100px !important; |
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height: 100px !important; |
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} |
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</style> |
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""" |
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st.markdown(""" |
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<style> |
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[data-testid="collapsedControl"] { |
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color: red; |
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font-size: 2em; |
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} |
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</style> |
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""", unsafe_allow_html=True) |
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st.markdown(""" |
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<style> |
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[data-testid="collapsedControl"] { |
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animation: pulse 2s infinite; |
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} |
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@keyframes pulse { |
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0% { |
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opacity: 1; |
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} |
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50% { |
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opacity: 0.5; |
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} |
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100% { |
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opacity: 1; |
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} |
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} |
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</style> |
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""", unsafe_allow_html=True) |
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st.markdown(custom_css, unsafe_allow_html=True) |
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if "messages" not in st.session_state: |
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st.session_state["messages"] = [{"role": "assistant", "content": "This AI model is designed to classify skin images into specific categories: Actinic Keratoses (akiec), Basal Cell Carcinoma (bcc), Benign Keratosis (bkl), Dermatofibroma (df), Melanoma (mel), Melanocytic Nevi (nv), and Vascular Lesions (vasc). It won't recognize general skin images. You can ask more."}] |
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def query_model(image_data): |
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try: |
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response = requests.post(API_URL, headers=HEADERS, data=image_data) |
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response.raise_for_status() |
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return response.json() |
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except requests.RequestException as e: |
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st.error(f"Error querying the model: Setting Up The Server Please Try Again in 5 Seconds") |
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return None |
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st.title("Skin Check Pro") |
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st.write("---") |
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uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png", "webp"]) |
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if uploaded_file: |
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image_data = uploaded_file.read() |
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results = query_model(image_data) |
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with st.sidebar: |
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st.image(image_data, caption='Uploaded Image.', width=250) |
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if results: |
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for classification in results: |
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st.write(f"**{classification['label']}**") |
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st.write(f"Score: {classification['score']:.2f}") |
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st.progress(classification['score']) |
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st.write("---") |
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st.write("## Ai Skin Check Assitant") |
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st.write("Have questions? Type your message below.") |
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for msg in st.session_state.messages: |
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avatar_image = None |
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if msg["role"] == "assistant": |
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avatar_image = "LOGO.png" |
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st.chat_message(msg["role"], avatar=avatar_image).write(msg["content"]) |
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user_input = st.chat_input("Type your message here...") |
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if user_input: |
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st.session_state.messages.append({"role": "user", "content": user_input}) |
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st.chat_message("user").write(user_input) |
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complete_message = f"This is what we discussed before: {stringi}. The result for the uploaded image is: {results}. This is the new question: {user_input}. [IF SOMEONE IS SPECIFICALLY ASKING ABOUT THIS PROJECT OR CANCER DETECTION AI ONLY THEN MENTION SOMETHING LIKE THIS, Dr. Aisha Zargham led a team of experts, combining her rich medical knowledge with advances in artificial intelligence to create this game-changing skin cancer detection system.] [KEEP YOUR MESSAGE SHORT] [IN THE DISEASES FOCUS MAINLY THE DISEASE WITH THE HIGHEST SCORE IN RESULTS]" |
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conversation_messages = [{"role": "system", "content": "You are a expert dermatologist on a website where we analyze images through Ai for Skin Cancer. [KEEP YOUR ANSWER SHORT] [YOU ARE NOT TALKING WITH PATIENTS, YOU ARE TALKING WITH DOCOTRS WHO ARE DIAGNOSING PATIENTS]"}, |
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{"role": "user", "content": complete_message}] |
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completion = openai.ChatCompletion.create( |
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model="gpt-3.5-turbo", |
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messages=conversation_messages |
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) |
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assistant_response = completion.choices[0].message |
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stringi += assistant_response['content'] |
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st.session_state.messages.append(assistant_response) |
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st.chat_message("assistant", avatar="LOGO.png").write(assistant_response['content']) |
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else: |
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st.warning("Please upload an image to get started.") |
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st.write("---") |
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st.write("**Note on Usage:**") |
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st.write("This tool is based on research and is intended for informational purposes only. For medical advice, consult with a dermatologist.") |
