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app.py
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import os
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#import gradio as gr
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import google.generativeai as genai
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# Configure API key for Gemini
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GEMINI_API_KEY = os.environ.get("GEMINI_API_KEY", None)
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genai.configure(api_key=GEMINI_API_KEY)
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# Create the model and chat session once
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generation_config = {
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"temperature": 1,
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"top_p": 0.95,
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"top_k": 64,
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"max_output_tokens": 8192,
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"response_mime_type": "text/plain",
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}
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model = genai.GenerativeModel(
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model_name="gemini-1.5-flash",
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generation_config=generation_config,
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system_instruction="give the response in a friendly tone",
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)
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chat_session = model.start_chat(
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history=[]
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)
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input = "How are you"
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def chat(input):
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response = chat_session.send_message(input)
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return response.text
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# Create Gradio interface
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#gr.Textbox(placeholder="Let Chat")
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#outputs = chat(inputs)
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#gr.Textbox()
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#demo = gr.Interface(fn=chat, inputs=inputs, outputs=outputs)
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# Launch the Gradio interface
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#if __name__ == "__main__":
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# demo.launch()
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