Update app.py

app.py

@@ -12,7 +12,6 @@ For more information on `huggingface_hub` Inference API support, please check th
 """
 
 model_name = "llama-3.3-70b-versatile"
-groq_api_key = "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"
 groq_chat = ChatGroq(groq_api_key=groq_api_key, model_name=model_name)
 embeddings = HuggingFaceEmbeddings(
     model_name = "pkshatech/GLuCoSE-base-ja"
@@ -23,7 +22,7 @@ vector_store = InMemoryVectorStore.load(
 retriever = vector_store.as_retriever(search_kwargs={"k": 4})
 
 
-def fetch_response(user_input):
+def fetch_response(groq_api_key, user_input):
   chat = ChatGroq(
     api_key = groq_api_key,
     model_name = model_name
@@ -57,6 +56,8 @@ with gr.Blocks() as demo:
     gr.Markdown('''# SOP事業マスター \n
                      SOP作成研究に関して、公募要領やQAを参考にRAGを使って回答します。
                 ''')
+    with gr.Row():
+        api_key = gr.Textbox(label="Groq API key")
     with gr.Row():
         with gr.Column():
             user_input = gr.Textbox(label="User Input")
@@ -67,7 +68,7 @@ with gr.Blocks() as demo:
             source1 = gr.Textbox(label="回答ソース１")
         with gr.Column():
             source2 = gr.Textbox(label="回答ソース２")
-    submit.click(fetch_response, inputs=user_input, outputs=[answer, source1, source2])
+    submit.click(fetch_response, inputs=[api_key, user_input], outputs=[answer, source1, source2])
 
 if __name__ == "__main__":
     demo.launch()