Create app.py

app.py

@@ -0,0 +1,30 @@
+import streamlit as st
+from transformers import Conversation, pipeline
+
+st.set_page_config(page_title="Dolphin Chatbot", page_icon=":robot_face:")
+st.header("Dolphin 2.6 Mistral 7B Chatbot")
+
+# Initialize the conversation pipeline with dolphin-2.6-mistral-7b model
+conversational_pipeline = pipeline('conversational', model='cognitivecomputations/dolphin-2.6-mistral-7b')
+
+if "conversation" not in st.session_state:
+    st.session_state.conversation = Conversation()
+
+def load_answer(question):
+    new_user_input = Conversation(text=question)
+    st.session_state.conversation.add_user_input(question)
+    assistant_answer = conversational_pipeline(st.session_state.conversation)
+    st.session_state.conversation = assistant_answer
+    return assistant_answer.text
+
+def get_text():
+    input_text = st.text_input("You: ", key="input_text")
+    return input_text
+
+user_input = get_text()
+submit = st.button('Generate')
+
+if submit:
+    response = load_answer(user_input)
+    st.subheader("Answer:")
+    st.write(response)