Create app.py

app.py

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+import streamlit as st
+import requests
+import openai
+import os
+# Initialize API keys and headers
+api_key = os.getenv("api_key")
+openai.api_key = os.getenv("OPENAI_API_KEY")
+bearer = "Bearer " + api_key
+API_URL = "https://api-inference.huggingface.co/models/Waqasjan123/Skin_Cancer_Detector_Live"
+HEADERS = {"Authorization": bearer}
+
+# Chat history
+stringi = ""
+
+# Initialize session state if it doesn't exist
+if "messages" not in st.session_state:
+    st.session_state["messages"] = [{"role": "assistant", "content": "How can I assist you in dermatology?"}]
+
+# Define the model query function with error handling for HuggingFace
+def query_model(image_data):
+    try:
+        response = requests.post(API_URL, headers=HEADERS, data=image_data)
+        response.raise_for_status()
+        return response.json()
+    except requests.RequestException as e:
+        st.error(f"Error querying the model: Setting Up The Server Please Try Again in 10 Seconds")
+        return None
+
+# Main
+st.title("Skin Check Pro")
+st.write("---")
+
+# Upload Image
+uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png", "webp"])
+
+if uploaded_file:
+    image_data = uploaded_file.read()
+    results = query_model(image_data)
+
+    # Display image and results on the sidebar
+    with st.sidebar:
+        st.image(image_data, caption='Uploaded Image.', width=250)
+        if results:
+            for classification in results:
+                st.write(f"**{classification['label']}**")
+                st.write(f"Score: {classification['score']:.2f}")
+                st.progress(classification['score'])
+                st.write("---")
+
+    st.write("## Ai Skin Check Assitant")
+    st.write("Have questions? Type your message below.")
+
+    # Display all previous messages
+    for msg in st.session_state.messages:
+        st.chat_message(msg["role"]).write(msg["content"])
+
+    # User input
+    user_input = st.chat_input("Type your message here...")
+
+    if user_input:
+        # Display only the user's message in the chat interface
+        st.session_state.messages.append({"role": "user", "content": user_input})
+        st.chat_message("user").write(user_input)
+
+        # Prepare complete message to send to OpenAI
+        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.] [YOU ARE NOT TALKING WITH PATIENTS, YOU ARE TALKING WITH DOCOTRS WHO ARE DIAGNOSING PATIENTS] [REMEMER YOUR AUDIENCE IS DERMATOLOGIST, MEDICAL STUDENTS, DOCTORS, PLEASE ENGAGE AND HELP THEM IN RESEARCHING ON IMAGE RESULTS] [KEEP YOUR ANSWER SHORTER] [IN THE DISEASES FOCUS MAINLY THE DISEASE WITH THE HIGHEST SCORE IN RESULTS]"
+        conversation_messages = [{"role": "system", "content": "You are a expert dermatologist on a website where we analyze images through Ai for Skin Cancer."},
+        {"role": "user", "content": complete_message}]
+
+        # Generate assistant's response
+        completion = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=conversation_messages
+        )
+        assistant_response = completion.choices[0].message
+        # Update Chat History string
+        stringi += assistant_response['content']
+
+        # Append assistant's message to conversation and display it
+        st.session_state.messages.append(assistant_response)
+        st.chat_message("assistant", avatar="LOGO.png").write(assistant_response['content'])
+
+else:
+    st.warning("Please upload an image to get started.")
+
+# Disclaimer
+st.write("---")
+st.write("**Note on Usage:**")
+st.write("This tool is based on research and is intended for informational purposes only. For medical advice, consult with a dermatologist.")