Create app.py

app.py

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+import streamlit as st
+from transformers import GPT2LMHeadModel, GPT2Tokenizer, AutoModelForCausalLM, AutoTokenizer
+from gtts import gTTS
+from IPython.display import Audio
+
+# Load Pretrained Model (GPT-2 for Reminders & Health Tips)
+model = GPT2LMHeadModel.from_pretrained("gpt2")
+tokenizer = GPT2Tokenizer.from_pretrained("gpt2")
+tokenizer.pad_token = tokenizer.eos_token
+
+# Load DialoGPT (for chatbot functionality)
+chatbot_tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-medium")
+chatbot_model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-medium")
+
+# Function to Generate Medication Reminder
+def generate_reminder(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt", padding=True, truncation=True)
+    outputs = model.generate(
+        **inputs, max_length=50, num_return_sequences=1, temperature=0.7, do_sample=True
+    )
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Function to Generate Health Tip
+def generate_health_tip(prompt):
+    return generate_reminder(prompt)
+
+# Function to Get Chatbot Response
+def chatbot_response(user_input):
+    inputs = chatbot_tokenizer.encode(user_input + chatbot_tokenizer.eos_token, return_tensors="pt")
+    outputs = chatbot_model.generate(inputs, max_length=1000, pad_token_id=chatbot_tokenizer.eos_token_id)
+    response = chatbot_tokenizer.decode(outputs[:, inputs.shape[-1]:][0], skip_special_tokens=True)
+    return response
+
+# Function for Text-to-Speech
+def text_to_speech(text):
+    tts = gTTS(text=text, lang='en')
+    tts.save("output.mp3")
+    return "output.mp3"
+
+# Streamlit UI
+st.title("HealthEase - Medication Reminder and Health Assistant")
+
+# Medication Reminder
+st.header("Generate Medication Reminder")
+medication_input = st.text_input("Enter medication details (e.g., 'Reminder for insulin at 7 PM:')")
+if medication_input:
+    reminder = generate_reminder(medication_input)
+    st.write("Generated Reminder:", reminder)
+    audio_file = text_to_speech(reminder)
+    st.audio(audio_file)
+
+# Health Tip
+st.header("Generate Health Tip")
+health_tip_input = st.text_input("Enter health tip details (e.g., 'Daily health tip for a diabetic patient:')")
+if health_tip_input:
+    health_tip = generate_health_tip(health_tip_input)
+    st.write("Generated Health Tip:", health_tip)
+    audio_file = text_to_speech(health_tip)
+    st.audio(audio_file)
+
+# Chatbot
+st.header("Conversational Chatbot")
+user_query = st.text_input("Ask a question (e.g., 'What are the side effects of ibuprofen?')")
+if user_query:
+    bot_reply = chatbot_response(user_query)
+    st.write("Chatbot Reply:", bot_reply)
+