Update app.py

app.py

@@ -45,28 +45,4 @@ def query_faiss(query, index, embedder, chunks, top_k=2):
     return "\n\n".join(retrieved_chunks)
 
 # Build prompt and generate answer
-def chat_with_transcript(query):
-    context = query_faiss(query, index, embedder, chunks)
-    prompt = f"""You are an AI assistant. Use the following context to answer the question.
-Context:
-{context}
-Question: {query}
-Answer:"""
-    response = llm(prompt)[0]['generated_text']
-    if "Answer:" not in response:
-        return "Error: Unable to parse the model's response."
-    return response.split("Answer:")[-1].strip()
-
-# Gradio interface
-with gr.Blocks() as demo:
-    gr.Markdown("# 📄 Chat with a Transcript")
-    query_input = gr.Textbox(label="Ask a question about the transcript")
-    answer_output = gr.Textbox(label="Answer")
-    
-    query_input.submit(
-        chat_with_transcript,
-        inputs=[query_input],
-        outputs=[answer_output]
-    )
-
-demo.launch()
+def chat_with