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