Update app.py

app.py

@@ -241,6 +241,8 @@
 # st.markdown("💡 *This AI provides learning-based medical insights, not actual medical advice.*")
 
 
+
+#------------------------------------------------------------------------start
 import streamlit as st
 from langchain_google_genai import ChatGoogleGenerativeAI
 
@@ -332,3 +334,124 @@ st.markdown("---")
 
 st.markdown("🔹 Powered by Mayank, Wasim, Pravishank – Innovating Healthcare with AI! 💡 Your Health, Our Mission. 🚀")
 
+
+
+#------------------------------------------------------------------------end
+
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+import streamlit as st
+import speech_recognition as sr
+from googletrans import Translator
+from langchain_google_genai import ChatGoogleGenerativeAI
+import matplotlib.pyplot as plt
+import numpy as np
+
+# Set up AI model
+llm = ChatGoogleGenerativeAI(
+    model="gemini-1.5-flash",
+    google_api_key="YOUR_GOOGLE_API_KEY",
+    temperature=0.5
+)
+
+# Custom CSS
+st.markdown("""
+    <style>
+        .big-font { font-size:20px !important; }
+        .stButton>button { background-color: #ff4b4b; color: white; font-size: 18px; }
+        .stTextInput>div>div>input { font-size: 16px; }
+    </style>
+""", unsafe_allow_html=True)
+
+# UI Setup
+st.image("healthcare_logo.png", width=150)
+st.title("🩺 CureBot: AI-Driven Health Assistant")
+st.write("Empowering healthcare with AI-driven insights and recommendations!")
+
+# Sidebar Navigation
+st.sidebar.title("🔍 Navigation")
+option = st.sidebar.radio("Select an option:", ["Home", "Symptom Checker", "Doctor Connect", "Health Stats"])
+translator = Translator()
+
+if option == "Home":
+    user_question = st.text_input("Type your symptoms or disease name:")
+    
+    if st.button("🎤 Speak Symptoms"):
+        recognizer = sr.Recognizer()
+        with sr.Microphone() as source:
+            st.info("Listening...")
+            try:
+                audio = recognizer.listen(source)
+                user_question = recognizer.recognize_google(audio)
+                st.success(f"Recognized: {user_question}")
+            except sr.UnknownValueError:
+                st.error("Could not understand audio")
+            except sr.RequestError:
+                st.error("Error in speech recognition service")
+    
+    lang = st.selectbox("Select Language", ["English", "Hindi", "Spanish"])
+    if lang != "English":
+        user_question = translator.translate(user_question, src="en", dest=lang.lower()).text
+    
+    if st.button("Get Recommendation"):
+        if user_question.strip():
+            formatted_question = (
+                f"Provide medicine and alternative treatments for {user_question}. "
+                f"List medicines, home remedies, lifestyle changes, exercises, and diet suggestions."
+            )
+            
+            with st.spinner("Analyzing..."):
+                response = llm.invoke(formatted_question)
+            response_text = response.content if hasattr(response, "content") else str(response)
+            st.success("✨ Analysis complete! Here are your recommendations:")
+            st.markdown(response_text)
+        else:
+            st.warning("Please enter a symptom or disease name!")
+    
+elif option == "Symptom Checker":
+    st.subheader("🔎 AI Symptom Checker")
+    st.write("Find possible diseases based on symptoms.")
+    symptoms = st.text_area("Enter symptoms separated by commas:")
+    if st.button("Check Symptoms"):
+        symptom_query = f"Analyze these symptoms: {symptoms}. List possible diseases."
+        response = llm.invoke(symptom_query)
+        st.write(response.content if hasattr(response, "content") else str(response))
+
+elif option == "Doctor Connect":
+    st.subheader("🏥 Find a Doctor Near You")
+    st.write("Using Google Maps API to find the nearest hospitals and doctors.")
+    st.write("(Feature Under Development)")
+
+elif option == "Health Stats":
+    st.subheader("📊 Health Trends & Data")
+    
+    diseases = ['Diabetes', 'Hypertension', 'Heart Disease', 'Asthma', 'Obesity']
+    cases = np.random.randint(5000, 20000, size=len(diseases))
+    
+    fig, ax = plt.subplots()
+    ax.barh(diseases, cases, color=['blue', 'green', 'red', 'purple', 'orange'])
+    ax.set_xlabel("Number of Cases")
+    ax.set_title("Disease Prevalence Statistics")
+    st.pyplot(fig)
+
+# Emergency Contact Section
+st.sidebar.markdown("---")
+st.sidebar.subheader("📞 Emergency Contacts")
+st.sidebar.write("- 🚑 *Ambulance:* 102")
+st.sidebar.write("- 🏥 *LPU Hospital:* 18001024432")
+st.sidebar.write("- 🏥 *National Health Helpline:* 108")
+st.sidebar.write("- ☎ *COVID-19 Helpline:* 1075")
+st.sidebar.write("- 🚓 *Police:* 100")
+
+st.markdown("---")
+st.markdown("🔹 Powered by Mayank, Wasim, Pravishank – Innovating Healthcare with AI! 💡 Your Health, Our Mission. 🚀")
+
+