Update app.py

app.py

@@ -1,45 +1,6 @@
 import gradio as gr
-import google.generativeai as genai
-import upload_pdf
-import re
-import os
-
-GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
-
-# Now you can use hugging_face_api_key in your code
-
-genai.configure(api_key=GOOGLE_API_KEY)
-model = genai.GenerativeModel('gemini-pro')  # Load the model
-
-
 
+import upload_pdf
 
 
 
-def get_Answer(query):
-    res = collection.query(  # Assuming `collection` is defined elsewhere
-        query_texts=query,
-        n_results=2
-    )
-    system = f"""You are a teacher. You will be provided some context, 
-    your task is to analyze the relevant context and answer the below question:
-    - {query}
-    """
-    context = " ".join([re.sub(r'[^\x00-\x7F]+', ' ', r) for r in res['documents'][0]])
-    prompt = f"### System: {system} \n\n ###: User: {context} \n\n ### Assistant:\n"
-    answer = model.generate_content(prompt).text
-    return answer
-
-# Define the Gradio interface
-iface = gr.Interface(
-    fn=get_Answer,
-    inputs=gr.Textbox(lines=5, placeholder="Ask a question"),  # Textbox for query
-    outputs="textbox",  # Display the generated answer in a textbox
-    title="Answer Questions with Gemini-Pro",
-    description="Ask a question and get an answer based on context from a ChromaDB collection.",
-)
-
-# Launch the Gradio app
-iface.launch(debug=True,share=True)
-
-