Create app.py

app.py

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+# Import necessary libraries
+import gradio as gr
+import google.generativeai as genai
+
+# Configure Google API
+GOOGLE_API_KEY = 'AIzaSyAukxtFZ2tp0t9Xx-Fa0m3778xpoKEVuTY'
+genai.configure(api_key=GOOGLE_API_KEY)
+
+# Initialize the generative model
+model = genai.GenerativeModel('gemini-1.5-flash')
+
+# Upload the local .txt file
+myfile = genai.upload_file(path="./Pride and Prejudice.txt", display_name="novel.txt", mime_type="text/plain")
+
+# Function to handle user input and generate a response
+def generate_response(user_question):
+    prompt = f"{user_question}"
+    
+    # Generate content using the model
+    response = model.generate_content([prompt, myfile])
+    return response.text
+
+# Create a Gradio interface
+interface = gr.Interface(
+    fn=generate_response,                # Function to call
+    inputs=gr.inputs.Textbox(label="Ask a question about Pride and Prejudice:"),  # User input
+    outputs=gr.outputs.Textbox(label="Response from the novel:"),   # Output display
+    title="Pride and Prejudice Q&A",   # Title of the app
+    description="Ask any question about 'Pride and Prejudice' and get a detailed response!"
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch()