Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load LLaMA model via Hugging Face pipeline
+# You can swap this with any LLaMA model hosted on Hugging Face
+# Example: "meta-llama/Llama-2-7b-chat-hf" if you're authenticated
+chatbot = pipeline("text-generation", model="tiiuae/falcon-7b-instruct", max_new_tokens=200)
+
+# Disclaimer text
+disclaimer = "⚠️ **Disclaimer:** Doctor Twin is an AI health companion and not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider for any medical concerns."
+
+# Simulated response handler
+def doctor_twin(user_input):
+    if not user_input.strip():
+        return "Hi! Please describe your symptom or health concern so I can help you better."
+
+    prompt = f"You are Doctor Twin, a friendly virtual health assistant. Greet the user and respond empathetically with general advice. User says: {user_input}"
+    
+    response = chatbot(prompt)[0]['generated_text'].split("User says:")[1].strip()
+    
+    # Basic recommendations (simulated)
+    recommendations = []
+    if any(word in user_input.lower() for word in ['cold', 'cough', 'flu']):
+        recommendations = ["Stay hydrated", "Get plenty of rest", "Use warm fluids", "See a doctor if fever persists more than 3 days"]
+    elif "headache" in user_input.lower():
+        recommendations = ["Drink water", "Rest in a dark, quiet room", "Avoid screen time", "Consult a doctor if persistent"]
+    elif "sleep" in user_input.lower():
+        recommendations = ["Maintain regular sleep schedule", "Avoid caffeine before bed", "Try relaxation techniques"]
+    
+    return response, recommendations
+
+# Gradio interface
+with gr.Blocks(title="Doctor Twin – Your Friendly Health Companion") as demo:
+    gr.Markdown("# 🩺 Doctor Twin – Your Friendly Health Companion")
+    gr.Markdown("**Helping you understand symptoms and stay informed – powered by AI.**")
+    gr.Markdown(disclaimer)
+
+    with gr.Row():
+        with gr.Column():
+            chatbot_input = gr.Textbox(label="Describe your symptoms or concern", placeholder="e.g., I have a sore throat and mild fever...")
+            submit_btn = gr.Button("Ask Doctor Twin")
+
+        with gr.Column():
+            chat_output = gr.Textbox(label="Doctor Twin Says", lines=6)
+            recommendation_output = gr.HighlightedText(label="Suggested Recommendations", combine_adjacent=True)
+
+    submit_btn.click(doctor_twin, chatbot_input, outputs=[chat_output, recommendation_output])
+
+# Run the app
+if __name__ == "__main__":
+    demo.launch()