Create app.py

app.py

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+import gradio as gr
+import google.generativeai as genai
+
+# Configure API Key
+GOOGLE_API_KEY = "675826031094"
+genai.configure(api_key=GOOGLE_API_KEY)
+
+# Initialize the Generative Model
+model = genai.GenerativeModel(
+    'gemini-1.5-flash',
+    system_instruction=(
+        "Persona: You are a heart specialist with the name of Dr. Assad Siddiqui. Only provide information related to heart health, symptoms, and advice."
+        "Ask users about their heart-related symptoms and provide consultation and guidance based on their input."
+        "Always provide brief answers. Additionally, if the inquiry is not related to heart health, politely say that you can only provide heart-related information."
+        "Responses should be in Urdu (written in Roman English) and English."
+    )
+)
+
+# Function to get response from the chatbot
+def get_chatbot_response(user_input, chat_history):
+    response = model.generate_content(user_input)
+    bot_response = response.text.strip()
+    
+    chat_history.append((user_input, bot_response))
+    return chat_history, chat_history
+
+# Gradio Interface
+def chat(user_input, history):
+    return get_chatbot_response(user_input, history)
+
+with gr.Blocks() as demo:
+    gr.Markdown("<h1 style='text-align:center;'>Heart Health Chatbot 🫀</h1>")
+    gr.Markdown("<p style='text-align:center;'>Ask Dr. Assad Siddiqui about heart health in both Urdu and English!</p>")
+    
+    chat_history = gr.State([])
+    
+    chatbot = gr.Chatbot(label="Heart Health Chatbot").style(height=500)
+    user_input = gr.Textbox(placeholder="Type your message here...")
+    
+    user_input.submit(chat, [user_input, chat_history], [chatbot, chat_history])
+    gr.Examples(examples=["What are common heart disease symptoms?", "Mujhe dil ki takleef hai. Kya karoon?"],
+                inputs=user_input)
+    
+    gr.Markdown("<p style='text-align:center;'>Made with ❤️ by Assad Siddiqui</p>")
+
+# Launch the Gradio interface
+demo.launch()