Update app.py

app.py

@@ -4,7 +4,7 @@ from langchain.llms import CTransformers
 
 ## Function To get response from LLAma 2 model
 
-def getLLamaresponse(input_text,no_words,blog_style):
+def getLLamaresponse(input_text = "home decoration" ,no_words = 100,blog_style = "lifestyle"):
 
     ### LLama2 model
     llm=CTransformers(model='TheBloke/OpenHermes-2.5-Mistral-7B-GGUF',
@@ -28,31 +28,18 @@ def getLLamaresponse(input_text,no_words,blog_style):
     return response
 
 
+with gr.Blocks() as demo:
+    gr.Markdown("# AI Patient Chatbot")
+    with gr.Group():
+        with gr.Tab("Patient Chatbot"):
+            chatbot = gr.Chatbot()
+            message = gr.Textbox(label="Enter your message to Barry", placeholder="Type here...", lines=2)
+            send_message = gr.Button("Submit")
+            send_message.click(AIPatient, inputs=[message], outputs=[chatbot])
+            save_chatlog = gr.Button("Save Chatlog")
+            #send_message.click(SaveChatlog, inputs=[message], outputs=[chatbot])
 
 
+            #message.submit(AIPatient, inputs=[message], outputs=[chatbot])
 
-
-st.set_page_config(page_title="Generate Blogs",
-                    page_icon='🤖',
-                    layout='centered',
-                    initial_sidebar_state='collapsed')
-
-st.header("Generate Blogs 🤖")
-
-input_text=st.text_input("Enter the Blog Topic")
-
-## creating to more columns for additonal 2 fields
-
-col1,col2=st.columns([5,5])
-
-with col1:
-    no_words=st.text_input('No of Words')
-with col2:
-    blog_style=st.selectbox('Writing the blog for',
-                            ('Researchers','Data Scientist','Common People'),index=0)
-    
-submit=st.button("Generate")
-
-## Final response
-if submit:
-    st.write(getLLamaresponse(input_text,no_words,blog_style))
+demo.launch(debug=True)