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app.py

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+import google.generativeai as genai
+import gradio as gr
+
+api_key = "AIzaSyAMfftpsTHFJx-4xhoOAKCM-Uc42SKOb98"
+
+model = genai.GenerativeModel('gemini-pro')
+genai.configure(api_key = api_key)
+chat = model.start_chat(history=[])
+temp = chat.send_message(f"""
+    You are an expert lecture notes designer LLM. Your task is to take a transcript of a lecture, 
+    and turn it into notes. You will receive transcripts of lectures based on Physics , Chemistry and Mathematics.""")
+
+def generate_notes(prompt):
+    input = "Generate lecture notes from this transcript. Please make sure to fully understand this transcript first, and then generate the notes.\n" + prompt
+    output = chat.send_message(input)
+    return output.text
+
+iface = gr.Interface(
+    fn= generate_notes,
+    inputs= "text",
+    outputs= "text",
+    title="Aeravat  Note Generation",
+)
+
+
+# Launch the Gradio interface
+iface.launch(share=True)

requirements.txt

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+gradio