Update app.py

app.py

@@ -21,7 +21,8 @@ def construct_index(directory_path):
     llm_predictor = LLMPredictor(llm=OpenAI(temperature=0.5, model_name="gpt-3.5-turbo", max_tokens=num_outputs))
     prompt_helper = PromptHelper(max_input_size, num_outputs, max_chunk_overlap, chunk_size_limit=chunk_size_limit)
 
-    
+construct_index("data")
+
 def ask_ai(question,api):
     if api == "":
         os.environ["OPENAI_API_KEY"] = "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"
@@ -29,9 +30,8 @@ def ask_ai(question,api):
     response = index.query(question, response_mode="compact")
     return response.response
 
-os.environ["OPENAI_API_KEY"] = "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"
+#os.environ["OPENAI_API_KEY"] = "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"
 
-construct_index("data")
 api_key = gr.inputs.Textbox(label="OpenAI API Key")
 iface = gr.Interface(fn=ask_ai, inputs=["text", api_key], outputs="text", title="Chatbot")